KR20190084362A - DEVICES, METHODS AND SYSTEMS FOR VISUAL IMAGING ARRAYS - Google Patents

Abstract

A computer implemented method and system includes the steps of: obtaining a request for specific image data that is part of a scene; acquiring a request for specific image data that includes at least two image sensors, Transmitting a request for image data; receiving only the specific image data from the image sensor array; and transmitting the received specific image data to at least one requester. In addition to the foregoing, other aspects are set forth in the claims, the drawings and the text.

Description

Apparatus, method and system of a visual imaging array

All subjects, including any priority claims, and any and all subject matter, and any and all parent, grandparent, and grandparent applications of priority applications and related applications, shall be incorporated by reference to the extent not inconsistent with the present application Are incorporated herein by reference.

The present application is directed to a video imaging array capable of handling multiple users and capable of transmitting less data than users have collected.

In one or more various aspects, the method includes, but is not limited to, those illustrated in the figures. In addition to the foregoing, other method aspects are described in the claims, drawings and text which form a part of the disclosure herein.

In one or more various aspects, the method includes, but is not limited to: obtaining a request for specific image data that is part of a scene; Transmitting a request for the particular image data to an image sensor array configured to capture, and receiving only the specific image data from the image sensor array. In addition to the foregoing, other method aspects are described in the claims, drawings and text which form a part of the disclosure herein.

In one or more various aspects, the one or more related systems may be implemented in a machine, compound, or system manufacture limited to a patentable subject under 35 USC 101. One or more related systems may include, without limitation, circuitry and / or programming to implement the method aspects recited herein. The circuitry and / or programming may be any hardware, software, and / or firmware combination that is substantially configured to execute the method aspects recited herein and is limited to a patentable subject under 35 USC 101, depending upon the design choices of the system designer have.

In one or more various aspects, the system includes, but is not limited to, means for obtaining a request for specific image data that is part of a scene, means for capturing a scene larger than the specific image data requested, Means for sending a request for the particular image data to the image sensor array; and means for receiving only the specific image data from the image sensor array. In addition to the foregoing, other aspects of the system are described in the claims, drawings, and text which form a part of the disclosure herein.

In one or more various aspects, the system includes, but is not limited to, circuitry for obtaining a request for specific image data that is part of a scene, circuitry including two or more image sensors and configured to capture a scene larger than the specific image data requested Circuitry for sending a request for the particular image data to the image sensor array; and circuitry for receiving only the particular image data from the image sensor array. In addition to the foregoing, other aspects of the system are described in the claims, drawings, and text which form a part of the disclosure herein.

In one or more various aspects, a computer program product including a signal-bearing medium containing one or more instructions includes, but is not limited to, one or more instructions for obtaining a request for specific image data that is part of a scene, One or more instructions for sending a request for the particular image data to an image sensor array that is configured to capture a scene larger than the specific image data requested and one for receiving only the particular image data from the image sensor array The above command is included. In addition to the foregoing, other computer program product aspects are described in the claims, drawings, and text that form a part of the disclosure herein.

In one or more various aspects, an apparatus includes one or more interconnected physical machines, wherein the apparatus is directed to obtain a request for specific image data that is part of a scene, and at least one image sensor that includes two or more image sensors, One or more interconnected physical machines instructed to transmit a request for the particular image data to an image sensor array configured to capture a scene and one or more interconnected physical machines directed to receive only the particular image data from the image sensor array By the computer language.

In addition to the foregoing, various other methods and / or systems and / or program product aspects may be disclosed and described in the text (e.g., claims and / or descriptions) and / do.

The foregoing is a summary and may, therefore, include a simplification, generalization, inclusion and / or omission of details; It will be understood by those skilled in the art that the foregoing summary is illustrative only and is not intended to be limiting in any way. Other aspects, features, and advantages of the apparatus and / or process and / or other subject matter described herein will become apparent from the detailed description and corresponding drawings, and from the teachings disclosed herein.

하나 이상의 환경의 부분 개략도를 형성하는 첨부 도면들의 정렬을 보인 표
37 C.F.R §1.84(h)(2)에 따라서, 도 1은 "도를 이해하는 용이성을 잃지 않고...수 페이지에 걸쳐 펼쳐진...부분도로 나누어진...전체적으로 큰 기계 또는 장치를 보인 도"이다. 위의 표에 표시된 수 페이지에 도시된 부분도는 부분도가 다른 부분도 부분을 포함하지 않도록 가장자리와 가장자리를 연결할 수 있다. 여기에서, "2개 이상의 페이지에 도시된 도가 사실상 단일의 완전한 도를 형성할 때, 수 페이지의 도는 각 페이지에 나타나는 임의의 도의 임의 부분을 숨기지 않고 완전한 도가 조립될 수 있도록 배열된다." 37 C.F.R §1.84(h)(2).
도면 중의 하나 이상의 부분도는 백지이거나, 또는 실체적 요소가 없을 수 있다는 점에 주목한다(예를 들면, 단지 선, 접속점, 화살표 등만을 보일 수 있다). 이러한 도면들은 USPTO에 제출하기 위해 필요한 부분 도면 형태로부터 단일의 완전한 도를 조립할 때 본 출원의 독자를 조력하기 위해 포함된 것이고, 그러한 도면의 내포가 필요 없고 전체로서 본 발명의 주제로부터 공제되지 않으면서 이 출원 또는 다른 출원에서 생략될 수 있지만, 그 도면의 내포가 적절하며 의도적인 것으로서 생각하고 취급되어야 한다.
도 1a는 위치 (1,1)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1b는 위치 (1,2)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1c는 위치 (1,3)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1d는 위치 (1,4)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1e는 위치 (1,5)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1f는 위치 (1,6)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1g는 위치 (1,7)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1h는 위치 (1,8)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1i는 위치 (1,9)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1j는 위치 (1,10)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1k는 위치 (2,1)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1l는 위치 (2,2)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1m는 위치 (2,3)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1n는 위치 (2,4)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1o는 위치 (2,5)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1p는 위치 (2,6)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1q는 위치 (2,7)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1r는 위치 (2,8)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1s는 위치 (2,9)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1t는 위치 (2,10)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1u는 위치 (3,1)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1v는 위치 (3,2)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1w는 위치 (3,3)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1x는 위치 (3,4)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1y는 위치 (3,5)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1z는 위치 (3,6)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1aa는 위치 (3,7)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1ab는 위치 (3,8)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1ac는 위치 (3,9)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1ad는 위치 (3,10)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1ae는 위치 (4,1)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1af는 위치 (4,2)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1ag는 위치 (4,3)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1ah는 위치 (4,4)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1ai는 위치 (4,5)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1aj는 위치 (4,6)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1ak는 위치 (4,7)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1al은 위치 (4,8)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1am은 위치 (4,9)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 1an은 위치 (4,10)에 위치된 때 여기에서 설명하는 기술의 환경 및/또는 구현의 부분 개략도의 적어도 일부를 형성하는 도이다.
도 2a는 하나 이상의 실시형태에 따른, 이미지 장치(220)를 포함한 예시적인 환경(200)의 상위 레벨 블록도이다.
도 2b는 하나 이상의 실시형태에 따른, 예시적인 환경(200)에서 동작하는 서버 장치(230)와 같은 컴퓨팅 장치의 상위 레벨 블록도이다.
도 3a는 실시형태에 따른, 예시적인 환경(300A)에서 장치(220A)의 예시적인 동작의 상위 레벨 블록도이다.
도 3b는 실시형태에 따른, 예시적인 환경(300B)에서 장치(220B)의 예시적인 동작의 상위 레벨 블록도이다.
도 3c는 실시형태에 따른, 예시적인 환경(300C)에서 장치(220C)의 예시적인 동작의 상위 레벨 블록도이다.
도 4a는 실시형태에 따른, 예시적인 환경(400A)에서 이미지 장치(420)의 예시적인 동작의 상위 레벨 블록도이다.
도 4b는 실시형태에 따른, 예시적인 환경(400B)에서 이미지 장치(420B)의 예시적인 동작의 상위 레벨 블록도이다.
도 5a는 실시형태에 따른, 예시적인 환경(500A)에서 서버 장치(530A)의 예시적인 동작의 상위 레벨 블록도이다.
도 5b는 실시형태에 따른, 예시적인 환경(500B)에서 서버 장치(530B)의 예시적인 동작의 상위 레벨 블록도이다.
도 6은 도 6a 내지 도 6g를 포함하고, 실시형태에 따른, 도 2b의 서버 장치(230)의 처리 모듈(250) 중 장면의 일부인 특정 이미지 데이터에 대한 요청 획득 모듈(252)의 특정 상관관계를 보인 도이다.
도 7은 도 7a 내지 도 7e를 포함하고, 실시형태에 따른, 도 2b의 서버 장치(230)의 처리 모듈(250) 중 이미지 센서 어레이에 특정 이미지 데이터에 대한 요청 전송 모듈(254)의 특정 상관관계를 보인 도이다.
도 8은 도 8a 내지 도 8c를 포함하고, 실시형태에 따른, 도 2b의 서버 장치(230)의 처리 모듈(250) 중 이미지 센서 어레이로부터 특정 이미지 데이터 배타적 수신 모듈(256)의 특정 상관관계를 보인 도이다.
도 9는 도 9a 내지 도 9e를 포함하고, 실시형태에 따른, 도 2b의 서버 장치(230)의 처리 모듈(250) 중 적어도 하나의 요청자에 수신된 특정 이미지 데이터 전송 모듈(258)의 특정 상관관계를 보인 도이다.
도 10은 실시형태에 따른, 장면의 일부인 특정 이미지 데이터에 대한 요청을 획득하는 동작과, 특정 이미지 데이터에 대한 요청을 이미지 센서 어레이에 전송하는 동작과, 이미지 센서 어레이으로부터 특정 이미지 데이터만을 수신하는 동작과, 수신된 특정 이미지 데이터를 적어도 하나의 요청자에게 전송하는 동작 중의 하나 이상의 동작을 포함한 프로세스, 예를 들면, 동작 흐름(1000)의 상위 레벨 논리 흐름도이다.
도 11a는 하나 이상의 실시형태에 따른, 장면의 일부인 특정 이미지 데이터에 대한 요청을 획득하는 동작(1002)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 11b는 하나 이상의 실시형태에 따른, 장면의 일부인 특정 이미지 데이터에 대한 요청을 획득하는 동작(1002)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 11c는 하나 이상의 실시형태에 따른, 장면의 일부인 특정 이미지 데이터에 대한 요청을 획득하는 동작(1002)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 11d는 하나 이상의 실시형태에 따른, 장면의 일부인 특정 이미지 데이터에 대한 요청을 획득하는 동작(1002)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 11e는 하나 이상의 실시형태에 따른, 장면의 일부인 특정 이미지 데이터에 대한 요청을 획득하는 동작(1002)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 11f는 하나 이상의 실시형태에 따른, 장면의 일부인 특정 이미지 데이터에 대한 요청을 획득하는 동작(1002)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 11g는 하나 이상의 실시형태에 따른, 장면의 일부인 특정 이미지 데이터에 대한 요청을 획득하는 동작(1002)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 12a는 하나 이상의 실시형태에 따른, 특정 이미지 데이터에 대한 요청을 이미지 센서 어레이에 전송하는 동작(1004)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 12b는 하나 이상의 실시형태에 따른, 특정 이미지 데이터에 대한 요청을 이미지 센서 어레이에 전송하는 동작(1004)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 12c는 하나 이상의 실시형태에 따른, 특정 이미지 데이터에 대한 요청을 이미지 센서 어레이에 전송하는 동작(1004)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 12d는 하나 이상의 실시형태에 따른, 특정 이미지 데이터에 대한 요청을 이미지 센서 어레이에 전송하는 동작(1004)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 12e는 하나 이상의 실시형태에 따른, 특정 이미지 데이터에 대한 요청을 이미지 센서 어레이에 전송하는 동작(1004)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 13a는 하나 이상의 실시형태에 따른, 이미지 센서 어레이로부터 특정 이미지 데이터만을 수신하는 동작(1006)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 13b는 하나 이상의 실시형태에 따른, 이미지 센서 어레이로부터 특정 이미지 데이터만을 수신하는 동작(1006)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 13c는 하나 이상의 실시형태에 따른, 이미지 센서 어레이로부터 특정 이미지 데이터만을 수신하는 동작(1006)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 14a는 하나 이상의 실시형태에 따른, 수신된 특정 이미지 데이터를 적어도 하나의 요청자에게 전송하는 동작(1008)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 14b는 하나 이상의 실시형태에 따른, 수신된 특정 이미지 데이터를 적어도 하나의 요청자에게 전송하는 동작(1008)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 14c는 하나 이상의 실시형태에 따른, 수신된 특정 이미지 데이터를 적어도 하나의 요청자에게 전송하는 동작(1008)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 14d는 하나 이상의 실시형태에 따른, 수신된 특정 이미지 데이터를 적어도 하나의 요청자에게 전송하는 동작(1008)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.
도 14e는 하나 이상의 실시형태에 따른, 수신된 특정 이미지 데이터를 적어도 하나의 요청자에게 전송하는 동작(1008)의 대안적 구현예를 보인 프로세스의 상위 레벨 논리 흐름도이다.BRIEF DESCRIPTION OF THE DRAWINGS For a more complete understanding of the embodiments, reference is now made to the following description taken in conjunction with the accompanying drawings, in which: Fig. The use of the same symbol in different drawings typically indicates similar or identical items unless dictated otherwise in the context. The illustrative embodiments set forth in the description, drawings, and claims are not intended to be limiting. Other embodiments may be utilized and other changes may be made without departing from the spirit or scope of the subject matter presented herein.
1 is a high-level system diagram of one or more exemplary embodiments in which transactions and potential transactions may be performed in accordance with one or more embodiments. FIG. 1 forms a partial schematic diagram of the environment and / or implementation of the technique described herein when attached together in the manner shown in FIG.
In accordance with 37 CFR § 1.84 (h) (2), Figure 1 is a schematic diagram of a "whole machine" (Drawing pages 1-40). Are arranged to connect the edges to the edges so that the visible or visible on two or more pages form a substantially complete single figure, and the complete drawing is assembled from the partial views shown on several pages or on other pages. Thus, a partial view of FIG. 1A to FIG. 1A in FIG. 1 is arranged alphabetically by increasing the column from left to right and increasing the row from top to bottom as shown in Table 1 below.

A table showing the alignment of the accompanying drawings forming a partial schematic of one or more environments
According to 37 CFR §1.84 (h) (2), Figure 1 shows "without loss of ease of understanding the diagram ... spreading across several pages ... divided into sections ... showing a large machine or device as a whole Quot; The partial diagrams shown on the number pages shown in the table above can connect the edges to the edges so that the partial diagram does not include other partial diagram parts. Here, "when a figure shown on two or more pages forms a single complete figure in fact, a figure of a page is arranged so that a complete figure can be assembled without hiding any part of any figure appearing on each page. 37 CFR §1.84 (h) (2).
Note that one or more of the diagrams in the figures may be blank or there may be no entity (e.g., only lines, joints, arrows, etc.). These drawings are included to assist the reader of the present application when assembling a single complete figure from a partial drawing form necessary for submission to the USPTO, and are not to be construed as a limitation of the present invention, May be omitted from this application or from another application, but the inclusion of the drawings should be considered and deemed appropriate and intentional.
Figure la is a diagram forming at least part of a partial schematic of the environment and / or implementation of the technique described herein when located at position (1,1).
1B is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 1, 2;
1C is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located in position 1, 3.
FIG. 1D is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position (1, 4).
Fig. 1e is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position (1,5).
1F is a diagram forming at least part of a partial schematic of the environment and / or implementation of the technique described herein when located at position 1, 6;
FIG. 1G is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the technology described herein when located at position (1,7).
Figure 1h is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 1, 8.
FIG. 1I is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 1, 9.
1J is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 1, 10.
1k is a diagram forming at least part of a partial schematic of an environment and / or implementation of the technique described herein when located at position 2,1.
FIG. 11 is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position (2,2).
1 m is a diagram forming at least part of a partial schematic of the environment and / or implementation of the technique described herein when located at position 2, 3.
1n is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 2,4.
Fig. 1o is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 2,5.
1 P is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 2,6.
Fig. 1q forms at least part of a partial schematic of the environment and / or implementation of the technique described herein when located at position 2,7.
FIG. 1 r is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the technology described herein when located at position 2, 8.
Fig. 1s is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 2, 9;
Figure 1 t is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 2, 10.
Fig. 1u is a diagram forming at least part of a partial schematic of the environment and / or implementation of the technique described herein when located at position 3,1.
Figure lv is a diagram forming at least part of a partial schematic of the environment and / or implementation of the technique described herein when located at position 3,2.
Fig. 1w is a diagram forming at least part of a partial schematic of the environment and / or implementation of the technology described herein when located at position 3, 3;
1x is a diagram forming at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 3,4.
Fig. 1 (i) is a diagram forming at least part of a partial schematic of the environment and / or implementation of the technique described herein when located at position (3, 5).
1 z is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located in position 3, 6.
Figure laa is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located in position 3,7.
Figure 1 ab is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located in position 3, 8.
Figure 1c is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 3,9.
Fig. 1ad is a diagram forming at least part of a partial schematic of the environment and / or implementation of the technique described herein when located at position 3,10.
1 a la form at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 4, 1.
Figure 1 af is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at location 4,2.
Figure 1ag is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at position 4,3.
Figure 1ah is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at locations 4,4.
Fig. 1 ai forms at least part of a partial schematic of the environment and / or implementation of the technique described herein when located at position (4, 5).
Figure laj forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at location 4,6.
1 ak is a diagram that forms at least part of a partial schematic of the environment and / or implementation of the techniques described herein when located at locations 4,7.
FIG. 1 (a) is a view that forms at least a part of a partial schematic of the environment and / or implementation of the techniques described herein when located at locations 4, 8.
Figure lam illustrates at least a portion of a partial schematic of the environment and / or implementation of the techniques described herein when located at locations 4,9.
Fig. 1 (a) shows at least part of a partial schematic of the environment and / or implementation of the technique described herein when located at position 4, 10.
2A is a high-level block diagram of an exemplary environment 200 including an imaging device 220, in accordance with one or more embodiments.
FIG. 2B is a high-level block diagram of a computing device, such as server device 230, operating in an exemplary environment 200, in accordance with one or more embodiments.
FIG. 3A is a high-level block diagram of an exemplary operation of device 220A in an exemplary environment 300A, in accordance with an embodiment.
FIG. 3B is a high-level block diagram of an exemplary operation of device 220B in an exemplary environment 300B, in accordance with an embodiment.
3C is a high-level block diagram of an exemplary operation of device 220C in an exemplary environment 300C, in accordance with an embodiment.
4A is a high-level block diagram of an exemplary operation of imaging device 420 in an exemplary environment 400A, in accordance with an embodiment.
4B is a high-level block diagram of an exemplary operation of imaging device 420B in an exemplary environment 400B, in accordance with an embodiment.
5A is a high-level block diagram of an exemplary operation of a server device 530A in an exemplary environment 500A, in accordance with an embodiment.
FIG. 5B is a high-level block diagram of an exemplary operation of a server device 530B in an exemplary environment 500B, in accordance with an embodiment.
FIG. 6 includes FIGS. 6A-6G and illustrates a specific correlation of the request acquisition module 252 for specific image data that is part of the scene of the processing module 250 of the server device 230 of FIG. 2B, Fig.
7 illustrates an exemplary embodiment of the present invention that includes Figures 7A through 7E and illustrates a specific relationship of the request transfer module 254 to specific image data to the image sensor array of the processing module 250 of the server device 230 of Figure 2B, The relationship is shown in Fig.
8 illustrates a specific correlation of a particular image data exclusive receiving module 256 from the image sensor array of the processing module 250 of the server device 230 of FIG. 2B, according to an embodiment, It is also shown.
Figure 9 includes Figures 9A through 9E and illustrates a specific correlation of the specific image data transfer module 258 received at the requestor of at least one of the processing modules 250 of the server device 230 of Figure 2B according to an embodiment The relationship is shown in Fig.
10 is a flowchart illustrating an operation of obtaining a request for specific image data that is part of a scene, sending a request for specific image data to an image sensor array, receiving an image data only from the image sensor array And a process including one or more operations of transmitting the received specific image data to at least one requester, for example, a high-level logic flow of the operation flow 1000.
FIG. 11A is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1002 for obtaining a request for specific image data that is part of a scene, in accordance with one or more embodiments.
11B is a high-level logic flow diagram of a process that illustrates an alternative implementation of act 1002 to obtain a request for specific image data that is part of a scene, in accordance with one or more embodiments.
FIG. 11C is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1002 for obtaining a request for specific image data that is part of a scene, in accordance with one or more embodiments.
FIG. 11D is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1002 for obtaining a request for specific image data that is part of a scene, in accordance with one or more embodiments.
FIG. 11E is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1002 for obtaining a request for specific image data that is part of a scene, in accordance with one or more embodiments.
11F is a high-level logic flow diagram of a process that illustrates an alternative implementation of act 1002 to obtain a request for specific image data that is part of a scene, in accordance with one or more embodiments.
FIG. 11G is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1002 for obtaining a request for specific image data that is part of a scene, in accordance with one or more embodiments.
12A is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1004 for sending a request for specific image data to an image sensor array, in accordance with one or more embodiments.
12B is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1004 for sending a request for specific image data to an image sensor array, in accordance with one or more embodiments.
12C is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1004 for sending a request for specific image data to an image sensor array, in accordance with one or more embodiments.
12D is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1004 for sending a request for specific image data to an image sensor array, in accordance with one or more embodiments.
FIG. 12E is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1004 for sending a request for specific image data to an image sensor array, in accordance with one or more embodiments.
13A is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1006 of receiving only specific image data from an image sensor array, according to one or more embodiments.
13B is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1006 of receiving only specific image data from an image sensor array, according to one or more embodiments.
13C is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1006 of receiving only specific image data from an image sensor array, according to one or more embodiments.
14A is a high-level logic flow diagram of a process illustrating an alternative implementation of operation 1008 for sending received specific image data to at least one requester, in accordance with one or more embodiments.
FIG. 14B is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1008 for sending received specific image data to at least one requestor, in accordance with one or more embodiments.
14C is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1008 of transmitting received specific image data to at least one requestor, in accordance with one or more embodiments.
FIG. 14D is a high-level logic flow diagram of a process illustrating an alternative implementation of operation 1008 for sending received specific image data to at least one requestor, in accordance with one or more embodiments.
FIG. 14E is a high-level logic flow diagram of a process that illustrates an alternative implementation of operation 1008 of transmitting received specific image data to at least one requestor, in accordance with one or more embodiments.

survey

In the following description, reference is made to the accompanying drawings which form a part hereof. In the drawings, like symbols typically denote similar or identical components or items, unless the context dictates otherwise. The illustrative embodiments set forth in the description, drawings, and claims are not intended to be limiting. Other embodiments may be utilized and other changes may be made without departing from the spirit or scope of the subject matter presented herein.

Thus, in accordance with various embodiments, a computer-implemented method, system, circuit, article of manufacture, ordered chains of matter, and computer program product may be used to determine, among other things, Send a request for the particular image data to an image sensor array configured to capture a request and to capture a scene that is larger than the specific image data requested, including two or more image sensors, Lt; / RTI >

The claims, description, and drawings of the present application can describe one or more current techniques in an operational / functional language, for example, as a collection of operations performed by a computer. In most cases, such operational / functional descriptions will be understood by those skilled in the art as specially configured hardware (because a general purpose computer may have certain functions depending on the instructions from the program software (e.g., a high level computer program that serves as a hardware specification) If it is programmed to do so it will in effect become a special purpose computer).

The claims, description, and drawings of the present application can describe one or more current techniques in an operational / functional language, for example, as a collection of operations performed by a computer. Such behavioral / functional description in most cases will be understood by those skilled in the art as specially configured hardware (because a general purpose computer is effectively a special purpose computer if programmed to perform a particular function according to an instruction from the program software) .

Operational / The functional language is specific to the physical implementation Spec

In particular, even though the operational / functional description set forth herein is understandable by the human mind, such an explanation is not an abstract idea of an operation / function separate from the computerized implementation of that operation / function. Rather, the operation / function represents a specification of a highly complex computer machine or other means. As will be described in detail later, the operational / functional language should be read as its appropriate technical context, that is, as a concrete specification of the physical implementation.

The logical operations / functions described herein are distillations of mechanical specifications or other physical mechanisms specified by operations / functions such that otherwise incomprehensible mechanical specifications can be understood by humans. Extracts also allow a skilled artisan to adapt operational / functional descriptions of the technology over a wide variety of specific vendor hardware configurations or platforms, including but not limited to the hardware configuration or platform of a particular vendor.

Some technical description (e.g., detailed description, drawings, claims, etc.) herein may be described as a logical operation / function. As will be explained in more detail in the following sections, logical operations / functions are not indicative of abstract concepts, but rather represent static or ordered specifications of various hardware elements. In other words, it will be understood by those skilled in the art that logical operations / functions are representative of static or ordered specifications of various hardware elements, unless otherwise indicated in the context. This is a tool available to those skilled in the art to implement a technical publication disclosed in an operational / functional format, a tool in the form of a high level programming language (e.g., C, Java, VB), or a high speed hardware description language "VHDL", which is a language that uses text to describe logic circuits) is a tool - a constructor of static or ordered specifications of various hardware configurations. This fact is sometimes obscured by the broader term "software ". As will be appreciated from the following description, those skilled in the art will appreciate that what is termed" software "is a highly complex interconnection / specification of ordered- I will understand that it is shorthand. The term "orderly elements" can refer to physical computing components such as an assembly of electronic logic gates, molecular computing logic components, quantum computing mechanisms, and the like.

For example, a high-level programming language is a programming language with strong abstractions, such as multi-level abstractions, from the details of the sequential organization, state, input, output, etc. of the machines that the high-level programming language actually specifies. To aid human comprehension, in many cases higher-level programming languages resemble each other or share natural language and symbols.

Level programming languages have been argued to be "pure mental constructs" (eg, "software") because high-level programming languages use strong abstractions (eg, they resemble each other or share natural language and symbols) - a computer program or computer programming - is a mental construct that can not be described anyway because it is thought and understood as a human mind at a higher level of abstraction. This discussion was, after all, used to characterize the technical description in the form of function / action as an "abstract concept". In fact, this is not true in the technical field (eg information and communication technology).

The fact that higher-level programming languages use strong abstractions to help human comprehension should not be taken as an indication of abstraction. In fact, one of ordinary skill in the art understands that the opposite is true. If a high-level programming language is a tool used to implement a technical specification in the form of a function / action, then those skilled in the art will recognize that in any significant semantic sense, abstract, indefinite, fuzzy, , But rather that such a tool is an almost incomprehensibly accurate sequential specification of a particular computer machine, some of which is typically built by operating / selecting that portion from a more general computer machine depending on time (e.g., clock time) - will recognize. This fact is sometimes obscured by the superficial similarity between high-level programming languages and natural languages. This superficial similarity can also cause a glossing over of the fact that a high-level programming language implementation ultimately performs valuable work by creating / controlling many other computer machines.

Many other computer machines that are specified by high level programming languages are so complex that they can hardly be imaged. Basically, the hardware used in a computer machine typically includes some type of orderly object (e.g., a conventional electronic device (e.g., transistor), a deoxyribonucleic acid (DNA) Mechanical switches, optics, fluid mechanics, gas mechanics, optical elements (e.g., optical interferometers), molecules, etc.). A logic gate is typically a physical device that can be driven electrically, mechanically, chemically or otherwise to change the physical state to produce the physical reality of the Boolean logic.

Logic gates may be arranged to form logic circuitry, which is typically a physical device that may be driven electrically, mechanically, chemically or otherwise to produce physical reality of a given logic function. The type of logic circuitry includes devices such as a multiplexer, a register, an arithmetic logic unit (ALU), a computer memory, etc., and each type of logic circuit can be combined to form other types of physical devices, such as a central processing unit The most well known of these are microprocessors. Modern microprocessors will contain hundreds of millions of logic gates (and sometimes billions of transistors) in their many logic circuits.

The logic circuitry forming the microprocessor is arranged to provide a microstructure for executing the instructions specified by the defined instruction set structure of the microprocessor. Instruction set structures are part of the microprocessor architecture associated with programming, including natural data types, instructions, registers, addressing modes, memory structures, interrupt and exception handling, and external input / output.

The instruction set structure contains the specifications of the machine language that the programmer can use to control / use the microprocessor. Because machine instruction words can be directly executed by a microprocessor, they are typically composed of binary numbers or bit strings. For example, typical machine language instructions can be of many bit lengths (e.g., 32, 64 or 128 bit strings are currently common). A typical machine language instruction can take the form of "11110000101011110000111100111111" (32-bit instruction).

Here, although machine instruction is written as a sequence of binary numbers, it is important that these binary numbers actually identify the physical reality. For example, if a given semiconductor is used for the operation of Boolean logic in a physical reality, the obvious mathematical bits "1" and "0" of the machine language instruction actually constitute a shorthand that specifies the application of a particular voltage to a particular wiring do. For example, in some semiconductor technologies, the binary number " 1 "(e.g., logic" 1 ") of the machine language instruction is approximately +5 volts applied to a particular" wiring " And a binary number "0" (e.g., logic "0") specifies about -5 volts applied to a particular "wiring ". In addition to specifying the voltage of the machine configuration, these machine language instructions also select and activate specific groupings of logic gates from the millions of logic gates of the more general machine. Thus, rather than abstracting arithmetic expressions, a machine language instruction program specifies many configured physical machines or physical machine states, even if they are written as strings of 0's and 1's.

Machine language is typically not understood by most humans (e.g., the example above is just one instruction, and some personal computers execute more than 2 billion instructions per second). Therefore, programs written in machine language that can be tens of millions of machine instruction lengths can not be understood. In this regard, an initial assembly was developed using a mnemonic code, called a machine instruction, rather than directly using the numerical value of the machine instruction (for example, to perform a multiplication operation, the programmer generates a binary number "011000 "Is encoded). Although assemblies were initially helpful to humans controlling microprocessors to perform tasks, the complexity of the tasks that must be performed by humans over time has surpassed human ability to control microprocessors using only assemblies Respectively.

At this point, we have found that the same tasks that must be done multiple times and the machine words that need to perform their respective tasks are the same. From this perspective, a compiler was created. The compiler takes statements that are more understandable to humans than machine or assemblies, such as "add 2 + 2 and output" ("add 2 + 2 and output the result" It is a device that translates complex, verbose, and vast machine code (for example, millions of 32-, 64-, or 128-bit length strings). Thus, the compiler translates the high-level programming language into machine language.

As described above, the compiled machine language is then used as a technical specification for sequentially configuring and interworking with many other computer machines so as to be useful to human beings and to carry out specific tasks. For example, as described above, this machine language, which is a compiled version of a higher level language, functions as a technical specification for selecting a hardware logic gate, a specific voltage level, a voltage transition timing, etc. so that a task useful to a human being is achieved by hardware .

Thus, the functional / operational description of the technology is far from the abstract concept as one skilled in the art will appreciate. Rather, a functional / operational description of the technology, when understood through tools available in the industry as described above, is a human understandable indication of hardware specifications, complexity, and specificity that far exceed most human comprehension I understand. With this in mind, those skilled in the art will appreciate that any such operational / functional description of the technique may be used in the context of the description herein and those of ordinary skill in the art to (a) display one or more interconnected physical machines, (b) display sequential / (C) a logic gate (e.g., interconnected electronic devices (e.g., transistors), a DNA, a quantum device, a machine Or (d) substantially any combination of the above, which constitute a physical structure, such as a switch, an optics, a fluid mechanics, a gas mechanics, a molecule, etc. In fact, any physical object having a stable, measurable, and changeable state can be used to construct the machine based on the description of the technique. Charles Babbage, for example, built his first computer with wood and turned his steering wheel to gain power.

Thus, rather than being understood as an abstract concept, those skilled in the art will recognize the functional / operational description of the technology as a human understandable indication of one or more nearly imperceptibly complex time ordered hardware instructions. The fact that a functional / behavioral description is easily adapted to a high-level computing language (or a high-level block diagram of the problem) that shares some words, structures, clauses, etc. with the natural language implies that such functional / It can not simply be taken as an expression that is an expression of an abstract concept or a simple abstract concept. In fact, as outlined here, this is simply not true in the art. Given the tools available to those skilled in the art, such functional / operational description of the technique is shown as specifying a hardware configuration of a complexity that can hardly be imaged.

As outlined above, there are at least two reasons for using the functional / operational description. First, the use of functional / operational descriptive descriptions suggests that machine operations arising from complex machines and interconnected hardware elements at near infinite levels can be achieved by the human mind (for example, by mimicking natural language and narrative flow) To be described in such a way that it can be processed. Second, the use of functional / operational technical descriptions helps understand the subject matter described by those skilled in the art by providing a more or less independent description of the hardware pieces of any particular merchant.

The use of the functional / operational technical description, as will be apparent from the above description, is based on the technical description disclosed in this document in terms of a set of trillions of 1 and 0, billions of assembly line level machine code, hundreds of logic gates, Or transcribe, but not expeditiously, as an arbitrary number of intermediate levels of abstraction, thereby helping those skilled in the art understand the described subject matter. However, if any such low-level description of the technology has replaced the current description of the technology, those skilled in the art will appreciate that such a low-level description may be useful (for example, by explaining the subject utilizing the convention of one or more vendor- There is a high possibility of adding the complexity without a corresponding benefit, so that it may face serious difficulties in implementing the present invention. Thus, the use of functional / operational technical descriptions assists those skilled in the art by separating the technical description from the rules of any vendor specific piece of hardware.

In view of the foregoing, the logical operations / functions disclosed in this description of the present invention represent static or ordered specifications of various orderly elements, making such specifications understandable to humans and adaptable to generate many different hardware configurations. The logical operations / functions disclosed herein should be so treated and simply deviated as abstract concepts because the specifications they represent are presented in a manner that is easily understood by those skilled in the art and applied in a manner independent of the specific vendor hardware implementation Should not.

Those skilled in the art will appreciate that the state of the art has advanced to the point where there is little remaining distinction between hardware, software (e. G., A high level computer program that serves as a hardware specification) and / Or the use of firmware is generally a design option that represents a cost versus efficiency tradeoff (which is not always the case in some circumstances where the choice between hardware and software is important). Those skilled in the art will recognize that the processes and / or systems and / or other mediums in which the techniques described herein may be implemented (e.g., hardware, software (e.g., high level computer programs availabe as hardware specifications) and / Or firmware), it will be appreciated that the preferred medium will vary depending on the circumstances in which the process and / or system and / or other technology is deployed. For example, if the implementer determines that speed and accuracy are important, the implementer can chose mainly the hardware and / or firmware medium; Alternatively, if flexibility is important, the implementer may choose to implement software (e.g., a high-level computer program that serves as a hardware specification); As another alternative, the implementer may use hardware, software (e.g., a high-level computer program avail- able as a hardware specification) and / or firmware in one or more machines, composites, and articles of manufacture limited to a patentable subject under 35 USC 101 Any combination can be selected. Thus, there are several possible medias that can be used to implement the processes and / or apparatus and / or other techniques described herein, and any mediator utilized will depend upon the circumstances dependent upon the circumstances in which the mediator is deployed and the particular interests of the implementer None of them are inherently superior to others in terms of speed, flexibility, or predictability, all of which can vary. Those skilled in the art will appreciate that optical implementations typically utilize optical-oriented hardware, software (e.g., high-level computer programs avail- able as hardware specifications), and / or firmware.

In some implementations described herein, logic and similar implementations may include computer programs or other control structures. For example, an electronic circuit may have one or more current paths configured and arranged to implement the various functions described herein. In some implementations, one or more media may be configured to include a device detectable implementation when maintaining or transmitting device detection instructions that cause such media to perform as described herein. In some variations, for example, an implementation may be implemented using existing software (e.g., a high-level computer program avail- able as a hardware specification) or firmware , Or updating or modifying a gate array or programmable hardware. Alternatively, or in addition, in some variations, an implementation may be implemented by executing or otherwise invoking special purpose hardware, software (e.g., a high-level computer program that serves as a hardware specification), a firmware component, and / May comprise a general purpose component. Specifications or other implementations may be transmitted by one or more instances of the tactical transmission medium as described herein, optionally by packet transmission or by passing the distributed media at various times.

Alternatively or additionally, an implementation may be implemented by executing a special purpose instruction sequence or by invoking a circuit that substantially activates, triggers, integrates, requests, or otherwise causes any functional operation described herein . In some variations, the operations herein or other logical descriptions may be expressed as source code, and may be invoked as a sequence of executable instructions compiled or otherwise. For example, in some situations, an implementation may be provided, in whole or in part, by source code, such as C ++ or other code sequences. As another example, source code or other code implementations using commercially available techniques in the industry can be compiled / implemented / translated / translated into a high level description language (e.g., the initial implementation is a C or C ++ programming language Technology has been described and then translated into a programmable language implementation, a hardware description language implementation, a hardware design simulation implementation, and / or other similar representation modes). For example, some or all of the logical representations (e.g., computer programming language implementations) may be implemented in a verilog type hardware description (e.g., a hardware description language (HDL) and / or a high speed integrated circuit hardware description language ) Or other circuit model used to create a physical implementation with hardware (e.g., application specific integrated circuit). Those skilled in the art will understand how to obtain, configure and optimize appropriate transmission or computation elements, material feeds, actuators or other structures in light of this teaching.

As used herein, the term module refers to a collection of one or more components arranged in a particular manner, or a combination of one or more components arranged to operate in a particular manner at one or more specific time points and / This is a set of general purpose components. For example, the same portion of the same hardware or hardware may be a module of a first type (for example, initially), a module of a second type (e.g., in some cases, the first match or overlap, , A third type of module (e. G., In some cases, the first and / or second, or the third one that overlaps or follows), and so on. A reconfigurable and / or controllable component (e.g., a general purpose processor, a digital signal processor, a field programmable gate array, etc.) is a first module having a first purpose and then a second module having a second purpose, A third module having a third purpose, and the like. Transition of the reconfigurable and / or controllable component may occur at times as small as a few nanoseconds, or may occur over a period of minutes, hours, or days.

In some such instances, when the component is configured to execute the second object, the component may fail to perform its first purpose until it is reconfigured. The component can switch between configurations as other modules at a time that is as small as a few nanoseconds. Components can be reconfigured on-the-fly. For example, reconfiguration of a component from a first module to a second module may occur when a second module is needed. The component can be reconfigured on the stage. For example, a first module part that is no longer needed can be reconfigured into a second module even before the first module has completed its operation. Such reconstruction may occur automatically or through prompting by an external source, which may be other components, commands, signals, conditions, external stimuli, or the like.

For example, a central processing unit of a personal computer is a module for displaying a graphic on a screen by configuring its logic gate in accordance with its command at various times, and is a module for writing data to a storage medium, And as a module for multiplying two large prime numbers. Such reconstruction is not visible to the naked eye and may in some embodiments include activation, deactivation and / or rerouting of various parts of the component, e.g., switches, logic gates, inputs and / or outputs. Thus, in the various examples disclosed herein, if a given example includes or references a plurality of modules, the example includes the possibility that the same hardware may implement two or more of the cited modules at the same time or at different times. Whether using more components, using fewer components, or using the same number of components, the implementation of multiple modules is simply an implementation choice and generally does not affect the behavior of the module itself. Thus, citing a plurality of separate modules herein refers to a single component that reconfigures itself over time to perform functions of multiple modules, and / or a plurality of components that similarly reconfigure and / It should be understood that this includes implementing the modules as any number of subcomponents, including reconfigurable components for use.

Those skilled in the art will recognize that engineering and / or control systems may be implemented to implement devices and / or processes and / or systems and then integrate the implemented devices and / or processes and / or systems into more comprehensive devices and / or processes and / Or other practice is common in the industry. That is, at least some of the devices and / or processes and / or systems described herein may be integrated into other devices and / or processes and / or systems through appropriate quantities of experimentation. Those skilled in the art will appreciate that such other devices and / or examples of processes and / or systems may be suitable for the context and application, including (a) air transport (e.g., airplanes, rockets, helicopters, etc.), (b) (C) building (eg house, warehouse, office, etc.), (d) household appliances (eg refrigerator, washing machine, dryer, etc.), (e) (E. G., An Internet service provider (ISP) entity such as a comcast cable, a quest, a South Western Bell, etc.) ), Or (g) a wired / wireless service entity (e.g., Sprint, Cingular, Nextel, etc.) and / or a process and / or system.

In some cases, the use of a system or method may occur within a territory even if the component is located outside the territory. For example, in a distributed computing context, the use of a distributed computing system may occur within a territory, even though some of the systems may be located outside the territory (e.g., relays, servers, processors, Receiving medium, a transmitting computer, a receiving computer, etc.).

The sale of a system or method may also occur within a territory when the components of the system are located and / or used outside the territory. Also, the implementation of at least some of the systems performing the method in one territory does not preclude the use of the system in other territories.

In the general sense, those skilled in the art will appreciate that the various embodiments described herein are not limited to those described in U.S. Pat. A wide range of electrical components, such as hardware, software, firmware and / or substantially any combination thereof, which is limited to a patentable subject under the IETF 101, and a rigid body, spring or torsion body, hydraulics, electromagnetic actuators, and / And may be implemented individually and / or collectively by various types of electromechanical systems having a wide range of components that can affect mechanical forces or motions, such as any combination. As a result, the term "electromechanical system" as used herein includes, but is not limited to, electrical circuits (e. G., Actuators, motors, piezoelectric crystals, MEMS, etc.) operatively coupled to a transducer ), An electrical circuit having at least one discrete electrical circuit, an electrical circuit having at least one integrated circuit, an electrical circuit having at least one application specific integrated circuit, an electrical circuit forming a general purpose computing device configured by a computer program For example, a general purpose computer configured by a computer program that at least partially executes the process and / or apparatus described herein, or a microprocessor configured by a computer program that at least partially executes the process and / or apparatus described herein ), An electric circuit (for example, a memory type (E.g., modem, communication switch, opto-electrical equipment, etc.) and / or optical or other analog (e.g., For example, a graphene based circuit). Those skilled in the art will appreciate that examples of electromechanical systems include, but are not limited to, various home appliances, medical devices, as well as other systems such as motorized transport systems, factory automation systems, security systems and / Will also be included. Those skilled in the art will appreciate that the electrical machine used herein need not necessarily be limited to a system having both electrical and mechanical operation, except where otherwise described in the context.

In general terms, those skilled in the art will appreciate that the various aspects described herein, which may be implemented individually and / or collectively by a wide variety of hardware, software, firmware, and / or any combination thereof, ≪ / RTI > Consequently, "electrical circuit" as used herein includes, but is not limited to, an electrical circuit having at least one discrete electrical circuit, an electrical circuit having at least one integrated circuit, at least one application specific integrated circuit (E.g., a general purpose computer configured by a computer program that at least partially executes the processes and / or apparatus described herein, or any other circuitry described herein, (E. G., In the form of memory (e.g., random access, flash, read-only, etc.)) that form a memory device, , And / or an electrical circuit (e.g., a modem, a communications switch, an optical-electrical Equipment, etc.). Those skilled in the art will appreciate that the subject matter described herein may be implemented in analog or digital form, or any combination thereof.

Those skilled in the art will recognize that at least some of the devices and / or processes described herein may be incorporated into an image processing system. Those skilled in the art will appreciate that a typical image processing system generally includes a system-wide housing, a video display device, a memory such as volatile or nonvolatile memory, a processor such as a microprocessor or digital signal processor, a computer entity such as an operating system, a driver, A control system (e.g., feedback to sense the lens position and / or velocity; feedback, such as a touch pad, touch screen, antenna, etc.) ≪ / RTI > moving / distorting control motors). The image processing system may typically be implemented using suitable commercially available components such as those found in digital still systems and / or digital motion systems.

Those skilled in the art will recognize that at least some of the devices and / or processes described herein may be integrated into a data processing system. Those skilled in the art will appreciate that typical data processing systems generally include a processor, such as a system-level housing, a video display device, a memory such as volatile or nonvolatile memory, a microprocessor or digital signal processor, a computer entity such as an operating system, , A control system (e.g., position and / or velocity sensing feedback; components and / or components) including one or more interacting devices (e.g., touch pad, touch screen, antenna, etc.) / RTI > and / or a control motor that moves and / or adjusts the amount). Data processing systems may typically be implemented using suitable commercially available components such as those found in data computing / communications and / or network computing / communications systems.

Those skilled in the art will recognize that at least some of the devices and / or processes described herein may be integrated into a mote system. Those skilled in the art will recognize that a typical Mott system typically includes a memory such as a volatile or non-volatile memory, a processor such as a microprocessor or digital signal processor, a computer entity such as an operating system, user interface, driver, sensor, actuator, A control system (e.g., feedback and sensing and estimating position and / or velocity), including components (e.g., USB ports, audio ports, etc.), feedback loops and control motors; A control motor that adjusts the speed of the motor). The Mott system may be implemented using suitable components such as in a Mott computing / communication system. Specific examples of such components include Intel and / or Crossbow Mott components and supporting hardware, software and / or firmware.

For purposes of this application, "cloud" computing may be understood as being described in the cloud computing literature. For example, cloud computing may be a method and / or system that delivers computational and / or memory capabilities as a service. The term "cloud" includes, without limitation, one or more hardware and / or software components that support the delivery or transfer of computing and / or storage capabilities, including one or more of a client, an application, a platform, an infrastructure and / I can tell. The cloud may refer to any hardware and / or software associated with a client, application, platform, infrastructure and / or server. For example, cloud and cloud computing may be implemented in a computer, processor, storage medium, router, switch, modem, virtual machine (e.g., virtual server), data center, operating system, middleware, firmware, hardware backend, One or more of the software applications. A cloud can refer to a private cloud, a public cloud, a hybrid cloud, and / or a community cloud. A cloud can be a pool of configurable computing resources that can be public, personal, semi-personal, distributable, scalable, flexible, temporary, virtual and / or physical. A cloud or cloud service may be delivered over one or more types of networks, such as a mobile communication network and the Internet.

As used in this application, a cloud or a cloud service may be defined as an infrastructure-as-a-service (IaaS), a platform-as-a-service (PaaS) Software-as-a-service (SaaS), and / or desktop-as-a-service ("DaaS"). As a non-exclusive example, IaaS may include, for example, a virtual server and / or a storage center (e.g., providing one or more processors, storage space and / or on-demand network resources such as EMC and rack space) And / or one or more virtual server instantiations that can be configured. A PaaS may include, for example, one or more software and / or development tools hosted in an infrastructure (e.g., a computing platform and / or solution stack in which a client may create software interfaces and applications, e.g., Microsoft Azure). SaaS may include, for example, software that is hosted by a service provider and accessible over a network (e.g., software for an application and / or data associated with the software application may be maintained in a network. For example, Google Apps, Salesforce). The DasS may include, for example, providing desktops, applications, data and / or services to users over the network (e.g., multiple application frameworks, applications of frameworks, data associated with applications, and / For example, via Citrix). ≪ / RTI > The foregoing are examples of systems and / or method types referred to in this application as "cloud" or "cloud computing " and should not be considered complete or exhaustive.

Those skilled in the art will recognize that the components (e.g., operations), apparatuses, objects, and descriptions accompanying them set forth herein are used as examples for conceptual clarity and that various configuration changes are contemplated. As a result, the specific examples described herein and their accompanying descriptions are intended to represent their more general classes. In general, the use of any particular example is intended to be representative of that class and should not be construed as limiting the inclusion of a particular component (e.g., an operation), a device, and an object.

The subject matter described herein is illustrative of other components that are sometimes associated with different components that are nested within or different from other components. It is to be understood that such illustrated structures are merely examples, and that many other structures that achieve substantially the same function may be implemented. In the conceptual sense, any arrangement of components that achieve the same functionality is effectively "associated " to achieve the desired functionality. Thus, any two components herein combined to achieve a particular function may be viewed as being "related" to one another to achieve the desired functionality regardless of structure or intermediate component. Likewise, any two components so associated may be viewed as being "operatively connected" or "operatively coupled" to one another to achieve the desired functionality, &Quot; operably associable "with each other to achieve the desired effect. Specific examples of operably linkable include, but are not limited to, components that are physically coupleable and / or physically interact and / or components that interact wirelessly and / or wirelessly, and / Or logically interacting and / or logically interactable components.

It should be understood that the outline title is for presentation purposes and that other types of subject matter may be described throughout the specification (e.g., the device / structure may be referred to as the process / And / or a process / action may be described under the structure / process title; and / or a description of a single topic may extend to two or more topic titles). Therefore, any use of the title of the formula summary in this specification is for the purpose of presentation and is not intended to be limiting in any way.

Throughout this specification, an example or list is given with parentheses, with abbreviations such as "e.g. " or with both parentheses and abbreviations. Unless expressly stated otherwise, these examples and lists are illustrative only and not exhaustive. In most cases, it will not be possible to list all examples and all combinations. Thus, rather than limiting the scope of such terms, use smaller illustrative lists and examples, focusing on understanding the claims.

As used herein with respect to the use of any substantially plural and / or singular terms, those skilled in the art will recognize that plural forms may be singly and / or singular forms may be plurally substituted for the context and / or application. Various singular / plural substitutions are not explicitly described herein for clarity.

Those skilled in the art will recognize that the components (e.g., operations), apparatuses, objects, and descriptions accompanying them set forth herein are used as examples for conceptual clarity and that various configuration changes are contemplated. As a result, the specific examples described herein and their accompanying descriptions are intended to represent their more general classes. In general, the use of any particular example is intended to be representative of that class and should not be construed as limiting the inclusion of a particular component (e.g., an operation), a device, and an object.

Although one or more users may be illustrated and / or illustrated in FIG. 1 and elsewhere as a single illustrative drawing, one or more users of ordinary skill in the art will understand that one or more human users, (E.g., a computing entity), and / or any combination thereof (e.g., a user may be assisted by one or more robotic agents). Those skilled in the art will generally recognize that a user may speak of a "sender ", and / or such terms, when used herein, may refer to other entity-oriented terms, unless the context otherwise requires.

In some cases, one or more components may be referred to herein as " configured to ", "configured by ... ", &Quot; adaptable ", "capable ", " adaptable to / adaptable ", and the like. Those skilled in the art will recognize that such terms (e.g., "configured to") generally include an active state component and / or an inactive state component and / or a ready state component, unless otherwise required in the context will be.

High-level system structure

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1, including FIGS. 1A-1 A, shows partial views that, when assembled, form a complete view of the overall system, at least a portion of which will be described in greater detail. An overview of the overall system of FIG. 1 will now be described herein, and more specific details of the at least one subsystem of FIG. 1 are described below with respect to FIGS. 2 through 14D.

Figure 1 shows various implementations of the overall system. At a high level, Figure 1 shows various implementations of a multiple user video imaging array (hereinafter "MUVIA" used interchangeably). The designation "MUVIA" is merely a shorthand and describes an exemplary embodiment, and is not a limiting term. Although "multi-user" appears in the name MUVIA, multi-user or single-user is not required. Also, while "video" is used in the name "MUVIA ", the MUVIA system can also capture still images, multiple images, audio data, electromagnetic waves outside the visible spectrum, and other data as described herein. Also, although an "imaging array" is used in the MUVIA designation, the MUVIA image sensor does not necessarily require an array or multiple sensors (although generally implemented as a larger image sensor group, Array "does not necessarily imply any particular structure but refers to any grouping of one or more sensors.

In general, although not necessarily required, the MUVIA system may include a user device (e.g., used interchangeably with a "client device" hereinbelow, the user need not necessarily be a human, ≪ / RTI > A "server" in the context of the present application may refer to any device, program or module that is not directly connected to an image sensor array or client device, including some or all "cloud" storage, applications and /

For example, in an embodiment such as that shown in Figs. 1A, 1K, 1U, IA, and 1 AF, the system includes an image sensor array 3200, an array local storage and processing module 3300, a server 4000 And a user device 5200. The user device 5200 may be any of a variety of devices. Each of these parts will be described in detail here.

Referring now to FIG. 1A, FIG. 1A illustrates a user device 5200 that is an apparatus that may be operated or controlled by a user of the MUVIA system. Here, the term "user" is provided only as a name for easy understanding and does not imply control by human or other organisms, sentient or otherwise. In one embodiment, for example, in a secure embodiment, the user device 5200 may be largely or completely unmonitored, or may not be monitored by artificial intelligence, or artificial intelligence and quasi-artificial intelligence It can be monitored by a combination of intelligence.

The user device 5200 may include, but is not limited to, a wearable device (e.g., a spectacle, a goggle, a headgear, a wrist watch, a garment), an implant (e.g., a retina- Such as a laptop computer, a desktop computer, a mainframe, a server, etc.), a tablet or other portable device, a phone or other like device (e.g., a smart phone, a personal digital assistant), a personal electronic device , A CD player), a consumer electronics device (e.g., a television, a refrigerator or any other so-called "smart" device), an office device (eg, a copier, a scanner, a facsimile device, A gaming system, an entertainment / media center, or any other electrical equipment capable of presenting images (visual or other means, such as a screen, No matter what caused the other sensory simulation).

The user device 5200 may present an image, which will be said to display the image for clarity and brevity purposes. Even though images do not always have to be presented or need to be presented at all, communication through them forms something other than light wave generation through the visible spectrum. For example, in one embodiment, the user device 5200 may receive the image from the server 4000 (or directly from the image sensor array 3200 as described herein) , Or for any other reason.

Referring again to FIG. 1A, in one embodiment, the user device 5200 may include a user selection acceptance module 5210. FIG. The user selection acceptance module 5210 may be configured to receive user input for what the user would like to see. For example, as shown in FIG. 1A, in the exemplary interface 5212, the user selection accepting module 5210 may view an image from the image sensor array 3200, and a user may select, Any known interface including a mouse, a touch, a haptic, an augmented reality interface, a voice command, a non-linguistic motion command (e.g., as part of a video game system interface, e.g., Microsoft Kinect) Fan "and" zoom ". Note that the camera itself does not "zoom" or "pan" because the camera does not move, as will be described in greater detail below. What happens is that other pixels captured by the image sensor array 3200 are held by the image sensor array 3200 and transmitted to the server 4000. [

In one embodiment, the user-selectable acceptance module may accept a selection of a particular object, e.g., a building, animal, or any other object to present the display on the screen. Moreover, the user can use the text box to "search" the image of a particular object and the processing performed at the user device 5200 or in the server 4000, and determine the image and the zoom level for viewing the object . The search for a particular object may be performed by a general search, for example, "search for a person" or "search for a penguin ", or for more specific searches, such as" search for a space needle " Quot; search "for < / RTI > The search for a particular object may be taken for any known context search, e.g., an address, a text string, or any other input.

In one embodiment, "user selection" facilitated by the user selection acceptance module 5210 may not involve the user at all. For example, in one embodiment, in a secure embodiment, the user selection is handled exclusively by the machine and is referred to as "selection of any portion of the moving image" or " Or "selection of any part of the image to be perceived by a particular person, e.g., a person on the FBI nominated witness list ".

Referring again to FIG. 1A, in one embodiment, the user device 5200 may include a user-selected transmission module 5220. The user selection transmission module 5220 may take a user selection from the user selection transmission module 5220 and send the selection to the server 4000. The transmission may include some preprocessing. For example, the user device 5200 may determine the size and parameters of the image before sending the request to the server 4000, or the processing may be handled by the server 4000. Along the bold line arrows shown left from the user select transmission module 5220 to Figure 1k, the transmission goes to the server 4000 as described herein. The transmission to the server 4000 may include data for the user device, e.g., screen resolution, window size, device type, user identity, level of service the user pays (such service is prioritized by the camera / (E.g., in an embodiment), other capabilities of the device, such as frame rate, and the like.

Referring again to FIG. 1A, FIG. 1A also includes a selected image receiving module 5230 and a user selection and presentation module 5240, which are described in more detail below with respect to the data flow of this embodiment.

Referring now to FIG. 1K, FIGS. 1K and 1U illustrate an embodiment of a server 4000 that communicates with either or both of user device 5200 and array local storage and processing module 3300. The server 4000 may be a single computing device, or it may be a plurality of computing devices that may or may not be proximate to each other.

Referring again to Figure 1K, the server 4000 may include a user request receiving module 4010. [ The user request receiving module 4010 may receive the request transmitted from the user selection transmitting module 5220. [ The user request receiving module 4010 may then take over the processing to the user request validation checking module 4020 and the user request validation checking module 4020 may be able to process the user request validation checking module 4020 at a higher A check can be made to ensure that the resolution is not required by the user. For example, if the server knows that the user requires a 1900x1080 resolution image and that the maximum resolution of the device is 1334x750 (e.g., through the collected information, or on a user request or in the same session as the user request) Through the transmitted information), the request will be modified to only be requested to the maximum resolution the device can handle. In one embodiment, this may preserve the bandwidth required for transmission from MUVIA to server 4000 and / or user device 3200. [

Referring again to Figure 1K, in an embodiment, server 4000 may include a user request latency management module 4030. [ The user request latency management module 4030 may determine, along with the user device 3200, the latency from the time that a particular image was requested by the user device 3200 to the time the request was activated and data was sent to the user latency of the system. The details of this latency management will be discussed in more detail below with various techniques that may be performed by some or all of the devices in the chain (e.g., user devices, camera arrays, and servers). As an example, in one embodiment, a lower resolution version of an image, e.g., locally stored or stored on a server, may be immediately sent to the user upon request, and then the image is updated with the actual image taken by the camera do. In one embodiment, the user requested latency management module 4030 may also handle static gap-filling. That is, if the image captured by the camera is invariant, i. E. Does not change during a particular time period, there is no need to capture a new image, and for example, the old image stored in the server 4000 can be transferred to the user device 3200 have. This process is also described in more detail below.

Referring now to Figure 1U showing another portion of the server 4000, in one embodiment, the server 4000 incorporates all of the user requests, performs any necessary preprocessing for that request, And an integrated user request transmission module 4040 configured to send a request to the array local storage and processing module 3300. [ The process of integrating user requests and performing preprocessing is described in more detail below with respect to some other exemplary embodiments. However, in this embodiment, the server-integrated user request transmission module 4040 sends a request from the remote server 3515 via the path shown in FIG. 1A as a lower bandwidth communication (left to the left in FIG. ). Here, "lower bandwidth communication" does not necessarily imply "low bandwidth" or imply any particular number of bandwidths, Which is lower than the higher bandwidth communication, which is discussed in more detail below.

Referring again to Figure 1U, the server 4000 may also include a requested pixel receive module 4050, a user request prepare module 4060 and a user request transmit module 4070 (shown in Figure 1K) These will be described later in more detail with respect to the data flow of this embodiment.

Referring now to Figures 1ae and 1af, Figures 1ae and 1af illustrate an image sensor array ("ISA") 3200 and array local storage and processing module 3300, each of which will now be described in more detail.

The image sensor array 3200 may include one or more image sensors that statically point to a particular object or scene in one embodiment. The image sensor array 3200 may be a single image sensor, or may be a group of individual image sensors 3201 combined to produce a generally, generally larger view. For example, in one embodiment, a 10-megapixel sensor may be used for each individual image sensor 3201. [ With these twelve sensors, the effective field of view, low-loss zoom, and the like can be substantially increased. The numbers are exemplary only and any number of sensors and / or any number of megapixel image sensor capabilities may be used.

The use of many individual sensors can produce a very large number of pixels that are captured for each exposure of the image sensor array 3200. Accordingly, these pixels are transmitted to the array local storage and processing module 3300 through the higher bandwidth communication 3505. In one embodiment, the array local storage and processing module 3300 is incorporated into the image sensor array 3200. In an alternative embodiment, the array local storage and processing module 3300 is separate from the image sensor array 3200, but is directly connected (e.g., via a USB 3.0 cable) to the image sensor array 3200. Although the "higher bandwidth communication 3505" does not require a certain amount of bandwidth, the bandwidth for this communication may be located remotely from the array local storage and processing module 3300 ≪ / RTI > none) than the bandwidth communication of up to < RTI ID = 0.0 >

Note that due to the large number of pixels captured by the image sensor array 3200, no mechanical change is generally required for the image sensor array, but such a mechanical change is not excluded in this embodiment. For example, because the array has a very large field of view, due to its very high resolution, the "pan" and "zoom" functions are more optically handled . This can reduce the complexity required by the device and can also improve the speed at which different views are generated by the image sensor array 3200. [

Referring again to FIG. IA, the image sensor array 3300 may capture the image received by the image capture module 3305. FIG. The image capture module 3305 may take the captured image and compare it to, for example, an integrated user request provided by the integrated user request receiving module 3310. [ Integrated user request receiving module 3310 may receive communication from server 4000 about which pixels in the image are requested. By using the integrated user request and the captured image, the pixel selection module 3320 can select pixels explicitly requested by the user and display the pixels to be transmitted back to the server.

After the pixels to be retained are identified, other pixels that do not need to be retained are removed, e.g., decimated in the unused pixel decimation module 3330. In one embodiment, these pixels are simply discarded, e.g., not stored in long term memory. The digital trash can (3317). In another embodiment, some or all of these pixels are stored in a local memory, e.g., local memory 3315. [ From there on, these pixels may be sent to various locations at off-peak times, maintained for image processing by the array local processing module 3300, or otherwise manipulated or processed separately from user requests have.

Referring again to FIG. IA, the selected pixels may then be transmitted to the server 4000 using the selected pixel transmission module 3340. [ The selected pixel transmission module 3340 may include any necessary transmission equipment, such as a cellular radio, a wireless adapter, etc., depending on the communication format. In one embodiment, only the requested pixels are transmitted to the server via lower bandwidth communication 3510. [ Similar to the lower bandwidth communication 3515, the lower bandwidth communication 3510 does not refer to a particular amount of bandwidth, but refers to only a relatively lower amount of bandwidth than the higher bandwidth communication 3505.

It should be noted that, in some embodiments, more pixels may be transmitted than are explicitly requested by the user. For example, the array local processing module 3300 may transmit pixels that border the user request area but are outside the user request area. In one embodiment, as described below, such pixels may be transmitted at different resolutions or transmitted using other types of compression. In another embodiment, additional pixels may simply be transmitted the same as the requested pixels. In another embodiment, the server 4000 may extend the user request area so that the array local processing module 3300 only transmits the requested pixels, but the requested pixels are larger than the area originally requested by the user . These additional pixels may be transmitted and "cached " by a server or local device that may be used to reduce latency in a process described in more detail below.

Referring again to Figure 1u, the pixels to be transmitted transmitted from the selected pixel transmission module 3340 of the array local processing module 3300 are received by the server 4000, for example, at the requested pixel receiving module 4050 . The requested pixel receiving module 4050 may receive the requested pixels and pass them to the user request preparation module 4060 and the user request preparation module 4060 may "unpack " For example, with certain post-processing, including image adjustment, addition to missing cache data, or addition of additional data (eg, advertising or other data) to the image, . In one embodiment, the server 4000 may also include a user request transmission module 4070 configured to send the requested pixel to the user device 5200.

1A, user device 5200 includes a selected image receiving module 5230 that receives pixels transmitted by server 4000, and a user selection module 5230 that displays the requested pixels on the screen of the device, And a presentation module 5240. FIG. In one embodiment, the display of an image may be performed through an exemplary interface that causes a new image to be displayed and a period of a user's request when the user navigates through what is shown in MUVIA, for example, as shown in FIG. 1A .

1b, 1c, 1m, 1w, 1ag, and 1ah illustrate another embodiment of a MUVIA system in which a plurality of user devices 5510, 5520, 5530 capture images captured by the same image sensor array 3200 Can be requested.

Referring now to Figures 1B and 1C, a user device 5510, a user device 5520 and a user device 5530 are shown. In one embodiment, user devices 5510, 5520, 5530 may have some or all of the same components as user device 5200, but are omitted here for clarity and ease of drawing. For each user device 5510, 5520, 5530, an exemplary screen resolution has been selected. However, there is nothing special about these numbers selected, they are presented for illustrative purposes only, and any other number may be selected instead.

For example, in one embodiment, referring to FIG. 1B, user device 5510 may have a screen resolution of 1920 × 1080 (eg, colloquially referred to as "HD picture quality"). User device 5510 may send an image request to server 4000 and also send data regarding the screen resolution of the device.

Referring now to 1c, user device 5520 may have a screen resolution of 1334x750. The user device 5520 may send a different image request to the server 4000 and may, in one embodiment, not send data about the device's screen resolution, Of a smartphone). The server 4000 may use this data to determine the screen resolution for the user device 5520 through the internal database or through contact with an external source, e.g., a third party provider of data to the device manufacturer or device .

Again referring to 1c, the user device 5530 may have a screen resolution of 640x480 and may send only the request to the server 4000 without any additional data. In addition, the server 4000 may receive independent requests from various users to change their current viewing area in the device.

Referring now to FIG. 1M, the server 4000 may include a user request receiving module 4110. The user request receiving module 4110 may receive a request from a plurality of user devices, for example, user devices 5510, 5520 and 5530. The server 4000 may also be an independent user view that may be part of the user request receiving module 4110 in one embodiment and may be configured to receive requests from users who have already accessed the system to change the view that the user is currently viewing And a change request receiving module 4115.

Referring again to FIG. 1M, the server 4000 may include an associated pixel selection module 4120 configured to combine user selections into a single region, as shown in FIG. 1m. Note that, in one embodiment, other user devices may request overlapping areas. In this case, there may be more than one overlap region, for example, overlap region 4122. In one embodiment, the overlap region is transmitted only once to save data / transmission cost and increase efficiency.

Now, referring to FIG. 1w, the server 4000 may include a selected pixel transfer module 4130 in the ISA. Module 4130 can take the associated selected pixels and send them to array local processing module 3400 of image sensor array 3200. [ The selected pixel transmission module 4130 at the ISA may include communication components that may be shared with other transmission and / or reception modules.

Referring now to Figure 1ag, the array local processing module 3400 may communicate with the image sensor array 3200. [ Similar to Figures 1ae and 1af, Figures 1ag and 1ah show the array local processing module 3400 and the image sensor array 3200, respectively.

The image sensor array 3200 may include one or more image sensors that statically point to a particular object or scene in one embodiment. The image sensor array 3200 may be a single image sensor, or may be a group of individual image sensors 3201 combined to produce a generally, generally larger view. For example, in one embodiment, a 10-megapixel sensor may be used for each individual image sensor 3201. [ With these twelve sensors, the effective field of view, low-loss zoom, and the like can be substantially increased. The numbers are exemplary only and any number of sensors and / or any number of megapixel image sensor capabilities may be used.

The use of many individual sensors can produce a very large number of pixels that are captured for each exposure of the image sensor array 3200. Accordingly, these pixels are transmitted to the array local storage and processing module 3400 via the higher bandwidth communication 3505. In one embodiment, the array local storage and processing module 3400 is integrated into the image sensor array. In another embodiment, the array local storage and processing module 3400 is separate from the image sensor array 3200, but is directly connected (e.g., via a USB 3.0 cable) to the image sensor array 3200. Although the "higher bandwidth communication 3505" does not require a certain amount of bandwidth, the bandwidth for this communication may be located remotely from the array local storage and processing module 3300 ≪ / RTI > none) than the bandwidth communication of up to < RTI ID = 0.0 >

Note that due to the large number of pixels captured by the image sensor array 3200, no mechanical change is generally required for the image sensor array, but such a mechanical change is not excluded in this embodiment. For example, because the array has a very large field of view, due to its very high resolution, the "pan" and "zoom" functions are more optically handled . This can reduce the complexity required by the device and can also improve the speed at which different views are generated by the image sensor array 3200. [

Referring again to Figure 1ag, the image sensor array 3200 may capture the image and compare it to an integrated user request, for example, provided by the integrated user request receiving module 3410. [ Integrated user request receiving module 3410 may receive communication from server 4000 about which pixels in the image have been requested. By using the integrated user request and the captured image, the pixel selection module 3420 can select explicitly requested pixels by the user and display them for transmission back to the server.

After the pixels to be retained are identified, other pixels that do not need to be retained are removed, e.g., decimated in the unused pixel decimation module 3430. In one embodiment, these pixels are simply discarded, e.g., not stored in long term memory. That is, to the digital trash can 3417. In another embodiment, some or all of these pixels are stored in a local memory, e.g., local memory 3415. [ From there, these pixels may be transmitted to various locations at idle times, maintained for image processing by the array local processing module 3400, or otherwise manipulated or processed separately from user requests.

Referring again to Figure 1ag, the array local processing module 3400 generates a flagged selected pixel (s) that takes the identified pixels as requested (e.g., "flagged") and transmits them back to the server 4000 for further processing And a transmission module 3440. Similar to the foregoing, this transmission may utilize a lower bandwidth channel and module 3440 may include all the necessary hardware to implement a lower bandwidth transmission to server 4000. [

Referring again to FIG. 1w, the flagged selected pixel transmission module 3440 of the array local processing module 3400 may send the flagged pixels to the server 4000. [ Specifically, the flagged selected pixel transfer module 3440 can transfer pixels to the selected pixel receive module 4140 flagged from the ISA as shown in FIG. 1w.

Referring again to FIG. 1w, the server 4000 may combine the pixels from various selections, duplicate the overlap region as needed, and generate a requested image for each user device that requested the image, And may also include a pixel separation and duplication module 4150. The flagged selected pixel separation and cloning module 4150 may also perform image adjustment based on processing, device preference and / or user preference, and any other image post-processing after being performed on the image, including filling the cached image version, .

Now, with reference to FIG. 1M (where data flows from module 4150 to "north" in FIG. 1W), server 4000 sends a pixel to a user device configured to send separated and processed pixels to a particular user requesting an image. And a transmission module 4160. Pixel transmission module 4160 at the user device may handle image transmission to user device 5510, 5520, 5530. In one embodiment, the pixel transmission module 4160 at the user device may have some or all of the components in common with the user request receiving module 4110.

Along the arrows representing the data flow from the module 4160 of the server 4000 to the right and up, the requested user image is displayed on the user device 5510, the user device 5520, and the user device 5520 shown in Figures 1B and 1C 5530). User devices 5510, 5520, 5530 may present the received image as described above and / or as described below.

Again, referring to FIG. 1, FIGS. 1e, 1o, 1y, 1ah, and 1ai illustrate a MUVIA implementation according to an embodiment. 1E, the user device 5600 may include a target selection receiving module 5610. In one embodiment, The target selection receiving module 5610 may be a component that allows a user to select a "target ", i.e., a point of interest, from an image. For example, in the illustrated example, the MUVIA array indicates a football field, e.g., the CenturyLink field. As an example, the user may select one of the football players shown in the field as "goal ". This may be facilitated by a goal presentation module, e.g., goal presenting module 5612, which may present one or more images (e.g., which may have different resolutions or may be various image versions from the latest MUVIA) From which a user can select a goal, for example, a football player.

In one embodiment, the target selection receiving module 5610 may include an audible target selection module 5614 configured to allow a user to select a target using an audible command without having to physically interact with the device.

Referring again to FIG. 1, for example, FIG. 1E, in one embodiment, user device 5600 may include a selected target transmission module 5620. The selected target transmission module 5620 can be configured to take the target selected by the user and transmit the selected target to the server 4000. [

Now, referring to FIG. 1O, FIG. 1O (and FIG. 1J immediately below FIG. 1O) shows an embodiment of server 4000. FIG. For example, in one embodiment, server 4000 may include a selected target receiving module 4210. In one embodiment, the selected target receiving module 4210 of the server 4000 may receive the selected target from the user device 5600. [ The selected target data can take various forms. For example, the selected target data may be image data, may be metadata identifying the selected target, or may include some other name such as an ID number, a tracking number or an information piece (e.g., Social security number). The selected target data may be an address or a physical description, or it may be any other instance of data that can be used to identify something.

Referring again to Figure 1O, in one embodiment, the server 4000 receives the target data received by the selected target receiving module 4210 and receives the selected target (e.g., a football player in the example shown) And a selected target identification module 4220 configured to determine an image that needs to be captured to obtain an image. In one embodiment, the selected target identification module 4220 can utilize the previously received image (or current image in one embodiment) from the image sensor array 3200 to determine the parameters of the image containing the selected target have. For example, in one embodiment, a lower resolution image from the image sensor array 3200 may be sent to the server 4000 to determine where the target is located in the image, and then a portion of the image May be transmitted to the image sensor array 3200 as described below.

In one embodiment, the server 4000 may perform processing on selected target data and / or received image data to generate a request to be sent to the image sensor array 3200. For example, in the given example, the selected target data is a football player. The server 4000, i.e., the selected target identification module 4220, can perform image recognition for one or more images captured from the image sensor array to determine the "sector" of the entire scene containing the selected target. In another embodiment, the selected target identification module 4220 may use a different external data source to determine where the target is. In yet another embodiment, the selected target data has been selected by the user from the scene displayed by the image sensor array, and such processing is unnecessary.

Referring again to Figure 1O, in one embodiment, the server 4000 includes a pixel information selection module 4230 that can select the pixels needed to capture a target and determine the size of the image to be transmitted from the image sensor array . The size of the image may be determined based on the type of the selected target, one or more parameters (set by the user, device or server, which may or may not be based on the selected target), by the resolution of the device, Lt; / RTI > The pixel information selection module 4230 may determine the pixels to be captured to represent the target and update based on the change in state of the target (e.g., if the target moves, e.g., in the football example, When moving in a predetermined direction).

Referring now to FIG. 1 Y, FIG. 1 Y includes another of server 4000 according to the embodiment. In one embodiment, the server 4000 includes a pixel information transfer module 4240 in the ISA. The pixel information transfer module 4240 at the ISA may transfer the selected pixels to the array local processing module 3500 associated with the image sensor array 3200. [

Referring now to Figures 1ah and 1ai, Figure 1ah shows an image sensor array 3200 that points to a football field, e. G., A CenturyLink field, in this example. The image sensor array 3200 may include one or more image sensors that statically point to a particular object or scene in one embodiment. The image sensor array 3200 may be a single image sensor, or may be a group of individual image sensors 3201 combined to produce a generally, generally larger view. For example, in one embodiment, a 10-megapixel sensor may be used for each individual image sensor 3201. [ With these twelve sensors, the effective field of view, low-loss zoom, and the like can be substantially increased. The numbers are exemplary only and any number of sensors and / or any number of megapixel image sensor capabilities may be used.

The use of many individual sensors can produce a very large number of pixels that are captured for each exposure of the image sensor array 3200. Accordingly, these pixels are transmitted to the array local storage and processing module 3500 through the higher bandwidth communication 3505. In one embodiment, the array local storage and processing module 3500 is integrated into the image sensor array. In another embodiment, the array local storage and processing module 3500 is detached from the image sensor array 3200, but is directly connected (e.g., via a USB 3.0 cable) to the image sensor array 3200. Although the "higher bandwidth communication 3505" does not require a certain amount of bandwidth, the bandwidth for this communication may be located remotely from the array local storage and processing module 3500 ≪ / RTI > none) than the bandwidth communication of up to < RTI ID = 0.0 >

Note that due to the large number of pixels captured by the image sensor array 3200, no mechanical change is generally required for the image sensor array, but such a mechanical change is not excluded in this embodiment. For example, because the array has a very large field of view, due to its very high resolution, the "pan" and "zoom" functions are more optically handled . This can reduce the complexity required by the device and can also improve the speed at which different views are generated by the image sensor array 3200. [

Referring again to FIG. IA, the image sensor array 3200 may capture the image received by the image capture module 3305. FIG. The image capture module 3305 may take the captured image and compare it to, for example, an integrated user request provided by the integrated user request receiving module 3510. [ Integrated user request receiving module 3510 may receive communication from server 4000 about which pixels in the image are requested. By using the integrated user request and the captured image, the pixel selection module 3320 can select pixels explicitly requested by the user and display the pixels to be transmitted back to the server.

After the pixels to be retained are identified, other pixels that do not need to be retained are removed, e.g., decimated in the unused pixel decimation module 3330. In one embodiment, these pixels are simply discarded, e.g., not stored in long term memory. The digital trash can (3317). In another embodiment, some or all of these pixels are stored in a local memory, e.g., local memory 3315. [ From there, these pixels may be transmitted to various locations at idle times, maintained for image processing by array local processing module 3300, or otherwise manipulated or processed separately from user requests. In one embodiment, the unused pixel decimation module 3330 may be used to determine whether more of the image (e.g., an image) is to be displayed, such that in some embodiments the server 4000 can accurately determine which image is needed to capture the target selected by the user Resolution module 3314 that may be used to transmit a low-resolution version of the entire scene, or many of the views surrounding the target, to the server 4000, or may communicate with the low-resolution module 3314.

Referring again to FIG. IA, the selected pixels may then be transmitted to the server 4000 using the selected pixel transmission module 3340. [ The selected pixel transmission module 3340 may include any necessary transmission equipment, such as a cellular radio, a wireless adapter, etc., depending on the communication format. In one embodiment, only the requested pixels are transmitted to the server via lower bandwidth communication 3510. [ Similar to the lower bandwidth communication 3515, the lower bandwidth communication 3510 does not refer to a particular amount of bandwidth, but refers to only a relatively lower amount of bandwidth than the higher bandwidth communication 3505.

Referring again to Figure 1y, the server 4000 may include an image receiving module 4250 as requested by the ISA. The image receiving module 4250 requested by the ISA may receive image data from the array local processing module 3500 (e.g., by arrow from "north" This image may include a target (e.g., a football player) as well as some surrounding area (e.g., a field area around the football player) as shown in FIG. The details of the "enclosing area" and the inclusion / transmission from the array local processing module may be specified by the user (e.g., directly or indirectly via a set of preferences), or by the server, May be determined in the selection module 4230 (shown in Fig.

Referring again to FIG. 1 Y, the server 4000 may include the requested image transmission module 4260 to the user device. The image transfer module 4260 requested by the user device may send the requested image to the user device 5600. [ The image transfer module 4260 requested to the user device may include components necessary for communicating with the user device 5600 and may in some embodiments include one or more other modules of the server 4000, Wireless antennas and components can be shared.

Referring again to FIG. 1 Y, the server 4000 may include a server cache image update module 4270. The server cache image update module 4270 takes an image received from the array local processing module 3500 (e.g., it may include an image that is sent to the user) and stores the received image in a server, Lt; RTI ID = 0.0 > cached < / RTI > image should be updated. This process can occur frequently or infrequently according to the embodiment, and in some embodiments, as long as there is a data connection, it can continue. In some embodiments, the frequency of the processing may depend on the available bandwidth for the array local processing module 3500. That is, for example, the frequency may increase at idle times. In one embodiment, the server cache image update module 4270 compares the received image from the array local processing module 3500 and, if the image is changed, replaces the cached image version with the new image.

Referring now again to FIG. 1e, FIG. 1e illustrates a user device 5600. FIG. In one embodiment, user device 5600 is configured to receive an image from server 4000, for example, from an image transfer module 4260 (shown in FIG. 1y) requested to a user device of server 4000 (For example, the data transmission is indicated by a right-up arrow passing through Figs 1Y and 1O before arriving in Fig. 1E (north)) and an image receiving module 5630 .

Referring again to FIG. 1e, FIG. 1e shows a received image presenting module 5640 that displays requested pixels including the selected target to the user by, for example, viewing the requested pixels including the selected target on the screen of the device. In one embodiment, the display of the image may be performed through an exemplary interface that allows a user to monitor the target, which may also display information about the target (e.g., in one embodiment, The game statistics of the football player can also be shown), the display of the image can be displayed on the MUVIA as shown in FIG. ≪ RTI ID = 0.0 > 1A, Images can be displayed.

Referring again to Figure 1, Figures 1f, 1p, 1z, and 1aj illustrate a MUVIA implementation in accordance with an embodiment. This embodiment is similar to a well known Google brand map (or Google Street), except for a camera that operates in real time, in a "live street view" live street view). For example, in one embodiment, referring now to FIG. 1F, user device 5700 may include a target selection receive module 5710. [ The target selection receiving module 5710 may be a component that allows a user to select a "target ", i.e., a point of interest, from an image. For example, in the illustrated example, the MUVIA is focused on the city, and the goal may be an address, building, car or person within the city. As an example, the user may select a street address as "target ". This may be accomplished by providing a target presentation module capable of presenting one or more images that allow the user to select a target, e. G., A street address (e. G., May be various image versions from MUVIA, For example, it may be facilitated by an image selection and presentation module 5712. In one embodiment, the image selection and presentation module 5712 may utilize static images that may or may not be provided by the MUVIA system, and in other embodiments, You can use views or cached views.

In one embodiment, the image selection and presentation module 5712 may include an audible target selection module 5714 configured to allow a user to select a target using audible commands without having to physically interact with the device.

1, for example, FIG. 1F, in one embodiment, user device 5700 may include a selected target transmission module 5720. The selected target transmission module 5720 may be configured to take a target selected by the user and transmit the selected target to the server 4000. [

Referring now to FIG. 1P, FIG. 1P illustrates a server 4000 of a MUVIA system according to an embodiment. In one embodiment, the server 4000 may include a selected target receiving module 4310. The selected target receiving module 4310 may receive the selected target from the user device 3700. In one embodiment, the server 4000 may provide all or most of the data that facilitates the selection of an object, e.g., an image and an interface, which may be provided via a web portal, for example.

Referring again to FIG. 1P, in one embodiment, server 4000 may include a selected image preprocessing module 4320. The selected image preprocessing module 4320 may perform one or more tasks to preprocess the image, some of which are described herein for illustrative purposes. For example, in one embodiment, the selected image preprocessing module 4320 may include a resolution determination module 4322 configured to determine the resolution of the image to show the target (where the resolution may be any Facets, such as color depth, size, shadows, pixilations, filters, etc.). In one embodiment, the selected image preprocessing module 4320 may include a cached pixel fill module 4324. The cached pixel fill module 4324 can be configured to manage which portions of the requested image are recovered from the cache and which portions are updated to improve performance. For example, if a view of the distance is requested, then a particular feature of the distance (e.g., a building, a tree, etc.) does not have to be retrieved each time, filled in with a cached version, . You can perform a check to see if the parked red car is still at the same spot as where it was parked one hour ago, and if so, that part of the image need not be updated. Using the low resolution / conventional image stored in memory 4215 as well as other image processing techniques, the cached pixel fill module determines which portions of the image need not be searched and, accordingly, the array local processing module 3600 and the server (4000). ≪ / RTI >

1P, in one embodiment, the selected image preprocessing module 4320 of the server 4000 includes a static object acquisition module 4326 that operates similarly to the cached pixel filling module 4324 . For example, as in the example shown in FIG. 1B, the static object acquisition module 4326 is a static object that can save bandwidth load on the connection between the array local processing module 3600 and the server 4000, For example, you can obtain previous versions of buildings, trees, fixtures, landmarks, and so on.

1P, in one embodiment, the pixel information transfer module 4330 at the ISA may send a request to the array local processing module 3600 for a pixel (e.g., a pre-processed image) For example, data flow arrows extending downward as shown in Figs. 1Z and 1ai).

Referring now to Figures 1 Z and 1 IA, in one embodiment, an array local processing module 3600, which may be connected by a higher bandwidth connection to the image sensor array 3200, may be presented.

The image sensor array 3200 may include one or more image sensors that statically indicate a particular object or scene in one embodiment. The image sensor array 3200 can be a single image sensor, or, more generally, can be a group of individual image sensors 3201 combined to produce a larger field of view. For example, in one embodiment, a 10-megapixel sensor may be used for each individual image sensor 3201. [ With these twelve sensors, the effective field of view, low-loss zoom, and the like can be substantially increased. The numbers are exemplary only and any number of sensors and / or any number of megapixel image sensor capabilities may be used.

The use of many individual sensors can produce a very large number of pixels that are captured for each exposure of the image sensor array 3200. Accordingly, these pixels are transmitted to the array local storage and processing module 3600 via the higher bandwidth communication 3505. In one embodiment, the array local storage and processing module 3600 is integrated into the image sensor array. In another embodiment, the array local storage and processing module 3600 is separate from the image sensor array 3200, but is directly connected (e.g., via a USB 3.0 cable) to the image sensor array 3200. Although the "higher bandwidth communication 3505" does not require a certain amount of bandwidth, the bandwidth for this communication may be located remotely from the array local storage and processing module 3600 ≪ / RTI > none) than the bandwidth communication of up to < RTI ID = 0.0 >

Note that due to the large number of pixels captured by the image sensor array 3200, no mechanical change is generally required for the image sensor array, but such a mechanical change is not excluded in this embodiment. For example, because the array has a very large field of view, due to its very high resolution, the "pan" and "zoom" functions are more optically handled . This can reduce the complexity required by the device and can also improve the speed at which different views are generated by the image sensor array 3200. [

Referring again to Figures 1 A 1 and 1 Z, the image sensor array 3200 can capture the image received by the image capture module 3605. The image capture module 3605 may take the captured image and compare it to, for example, an integrated user request provided by the integrated user request receiving module 3610. [ Integrated user request receiving module 3610 may receive communication from server 4000 about which pixels in the image are requested. By using the integrated user request and the captured image, the pixel selection module 3620 can select explicitly requested pixels by the user and display the pixels for reverse transmission to the server.

After the pixels to be maintained are identified, other pixels that do not need to be retained are removed, e.g., decimated in the unused pixel decimation module 3630. In one embodiment, these pixels are simply discarded, e.g., not stored in long term memory. That is, to the digital trash box 3617. In another embodiment, some or all of these pixels are stored in a local memory, e.g., local memory 3615. [ From there on, these pixels may be transmitted to various locations at idle times, maintained for image processing by the array local processing module 3600, or otherwise manipulated or processed separately from user requests. In one embodiment, the unused pixel decimation module is configured to allow more of the image (e. G., ≪ RTI ID = 0.0 > Resolution module 3614 that may be used to transmit a low-resolution version of the entire scene, or many of the views surrounding the target, to the server 4000, or may communicate with the low-resolution module 3614.

Referring again to FIG. 1 a, the selected pixels may be transmitted to the server 4000 using the next selected pixel transmission module 3640. The selected pixel transmission module 3640 may include any necessary transmission equipment, such as a cellular radio, a wireless adapter, etc., depending on the communication format. In one embodiment, only the requested pixels are transmitted to the server via lower bandwidth communication 3510. [ Similar to the lower bandwidth communication 3515, the lower bandwidth communication 3510 does not refer to a particular amount of bandwidth, but refers to only a relatively lower amount of bandwidth than the higher bandwidth communication 3505.

It should be noted that, in some embodiments, more pixels may be transmitted than are explicitly requested by the user. For example, the array local processing module 3600 may transmit pixels that border the user request area but are outside the user request area. In one embodiment, as described below, such pixels may be transmitted at different resolutions or transmitted using other types of compression. In another embodiment, the additional pixels may simply be transmitted the same as the requested pixels. In another embodiment, the server 4000 may extend the user requested area so that the array local processing module 3600 only transmits the requested pixels, but the requested pixels are larger than the area originally requested by the user . These additional pixels may be transmitted and "cached " by a server or local device that may be used to reduce latency in a process described in more detail below.

Referring again to FIG. 1P, in one embodiment, the server 4000 may include an image receiving module 4340 from the ISA. From the ISA, the image receiving module 4340 may receive image data from the array local processing module 3600 (e.g., by arrows from " north " The image may include the requested pixels from the image sensor array 3200. In one embodiment, the server 4000 may also include a received image post-processing module 4350, and the received image post-processing module 4350 may include other post-processing tasks, The image preprocessing module 4320 may fill the object or pixels with an image that is determined to be unnecessary. In one embodiment, the server 4000 may include a receive image transmission module 4360 in a user device configured to send the requested image to the user device 5700. The image transfer module 4360 requested to the user device may include components necessary for communicating with the user device 5700 and may in some embodiments include one or more other modules of the server 4000, Wireless antennas and components can be shared.

Referring now back to FIG. 1F, the user device 5700 may include a server image receiving module 5730. The server image receiving module 5730 can receive the image transmitted by the server 4000. [ The user device 5700 may also include a user selection presentation module 5240 that displays the requested pixels to the user by displaying them on the screen of the device. In one embodiment, the display of the image may be performed through an exemplary interface that allows a new image to be displayed and a period of user requests when the user navigates through what is shown in MUVIA, for example, as shown in FIG. 1F .

In one embodiment, as shown in Figures 1F and Ig, the server image receiving module 5730 may include an audio stream receiving module 5732 and a video stream receiving module 5734. [ In one embodiment, as described throughout this disclosure, a MUVIA system may capture still images, video and sound as well as other electromagnetic waves and other signals and data. In one embodiment, the audio and video signals may be handled together, or they may be handled separately as separate streams. Note that although not all modules in this drawing are shown separating the audio and video streams, all implementations of MUVIA expect both audio and video coverage as well as still images and other data sets.

1G, which now shows another portion of the user device 5700, FIG. 1G may include a display 5755 and a memory 5765 that may be used to facilitate presentation and / or storage of the received image. have.

Figures 1h, 1r, 1aa and 1ab show embodiments of the MUVIA implementation. For example, referring now to FIG. 1H, FIG. 1h shows an embodiment of a user device 5800. In FIG. For purposes of illustration, user device 5800 may be an augmented reality device that indicates that the user is looking down at a "distance ", e.g.," virtual sight, " (E.g., a Google, e.g., an oculus lift type headgear device) can be used. Note that this embodiment is not limited to a wearable computer or augmented reality, and may be any device as in all embodiments described in this specification. The use of a wearable enhancement / virtual reality device is used for illustrative and illustrative purposes only.

In one embodiment, user device 5800 may have field of view 5810 as shown in FIG. 1h. The user ' s field of view 5810 can be illustrated in Fig. 1h as follows. The innermost rectangle indicated by the dot hatch represents the user ' s ' sight ' when viewed in their "virtual world ". The second inside rectangle, marked by a straight line hatching, represents the object closest to the user, ie, the range the user can see next by turning their heads or moving their eyes. In one embodiment, this image area may have already been loaded into the device using a special codec that will be described in more detail below. The outermost rectangle, which is an image without hatching, represents the outer side of the user viewpoint. This area may also have already been loaded into the device. By loading areas that the user ultimately can see, the system can reduce latency and make the motion of the user, e.g., head, eye, and body, appear natural to the system.

Referring now to Figures IAA and IB, these figures show an array local processing module 3700 connected to an image sensor array 3200 (e.g., as shown in Figure 1 ak, and as shown in Figure IA, (see city). The image sensor array 3200 can operate as described above. In one embodiment, the array local processing module 3700 includes a captured image receiving module 3710 capable of receiving the entire scene captured by the image sensor array 3200 via a higher bandwidth communication channel 3505 . As described above, these pixels may be "cropped" to the relevant portion of the captured image as depicted by one or more of the processes performed in user device 5800, server 4000, and array local processing module 3700 crop or "decimate ". This processing can occur as described above. The relevant pixels may be handled by the relevant part receiving module 3720 of the captured image.

Referring now to Figure 1ab, in one embodiment, the relevant pixels of the image processed by the relevant portion receiving module 3720 of the captured image are encoded in a relevant portion encoding module 3730 using a special codec . In one embodiment, the codec is configured to encode the innermost rectangle, e.g., the portion (e.g., 3716) that represents the current user view, at a higher resolution, or in another compression, or a combination thereof . The codec may also be configured to encode a second rectangle (e.g., portion 3714) hashed to a vertical line with a different resolution and / or other (e.g., higher) compression. Likewise, the outermost portion of the image (e.g., clean portion 3712) may also be encoded with another resolution and / or other compression. In one embodiment, the codec itself handles an algorithm for encoding an image, and so, in one embodiment, the codec may include information about the user device 5800.

As shown in FIG. 1ab, the encoded portion of the image, including portions 3716, 3714, and 3712, may be transmitted using the encoded relevant portion transmission module 3740. Quot; low compression ", "high compression ", and" higher compression "are simply used as an example for the kind of processing performed by the codec. For example, other sampling algorithms or compaction algorithms may be used instead of lower compression, or a more lossier algorithm may be implemented for each part of the encoded relevant portion.

Referring now to FIG. 1 r, FIG. 1 r shows a server 4000 of the MUVIA system according to an embodiment. For example, as shown in FIG. 1 r, the server 4000 may include an encoded image receiving module 4410 in addition to the above-mentioned portions. The encoded image receiving module 4410 may receive the encoded image encoded as described above from the encoded relevant portion transmitting module 3740 of the array local processing module 3700. [

Referring again to FIG. 1 r, the server 4000 may include an encoded image transmission control module 4420. Encoded image transmission control module 4420 may transmit each portion of the image to user device 5800. [ In one embodiment, depending at least in part on the bandwidth and detail of the user device, the server sends all encoded images to the user device, and the user device decodes the portions as needed, decodes the image, The portions may be transmitted one by one, or as a complexity that can be handled by other encoding and user equipment as required by the user equipment.

1 H, the user device 5800 may include an encoded image transmission receiving module 5720, and the encoded image transmission receiving module 5720 may include, for example, And may be configured to receive the encoded image in a similar manner. 1h may also include an encoded image processing module 5830 that may handle processing of the image, i. E., Encoding and decoding each portion of the image, or other processing needed to provide the image to the user.

Referring now to FIG. 1 a, FIG. 1 a shows an implementation of an application programming interface (API) for various MUVIA components. In particular, the image sensor array API 7800 includes a programming specification 7810 that includes, among other things, a library, class, specification, template, or other encoding elements that typically comprise an API, And an access authentication module 7820 that controls API access to the sensor array. The API allows a third party developer to access the operations of the image sensor array and array local processing module 3700 so that third party developers can create applications of the array local processing module 3700, It may be determined that any data captured by sensor array 3200 (which may sometimes be a plurality of gigabytes per second or more data) should be maintained, stored or transmitted. In one embodiment, API access to a given function may be restricted. For example, a monolithic system may allow a predetermined number of API calls for MUVIA data per second, minute, hour, or day. In one embodiment, the third party may perform a registration that pays a fee or allows more or less access to the MUVIA data. In one embodiment, the third party may host their application on a separate web site and allow the web site to access the image sensor array 3200 and / or the array local processing module 3700 directly.

Again, referring to FIG. 1, FIG. 1i, 1j, 1s, 1t, 1ac, 1ad, 1am, and 1an may allow the user to insert an advertisement (or other context dependent data) MUVIA implementation.

Referring again to Figure 1i, in one embodiment, user device 5900 may include a user selection acceptance module 5910. [ The user selection acceptance module 5910 may be configured to receive user input for what the user would like to see. For example, as shown in FIG. ≪ RTI ID = 0.0 > 1i, the user selection acceptance module 5910 may view an image from the image sensor array 3200 and the user may select, Quot; pan "and" zoom " using any known interface, including a real-world interface, a voice command, a non-language motion command (e.g., as part of a video game system interface, "can do. Note that the camera itself does not "zoom" or "pan" because the camera does not move, as will be described in greater detail below. What happens is that other pixels captured by the image sensor array 3200 are held by the image sensor array 3200 and transmitted to the server 4000. [

In one embodiment, "user selection" facilitated by user selection acceptance module 5910 may not involve the user at all. For example, in one embodiment, in a secure embodiment, the user selection is handled exclusively by the machine and is referred to as "selection of any portion of the moving image" or " Or "selection of any part of the image to be perceived by a particular person, e.g., a person on the FBI nominated witness list ".

Referring again to Figure 1i, in one embodiment, the user device 5900 may include a user selection transfer module 5920. [ The user selection transmission module 5920 can take the user selection from the user selection transmission module 5920 and send the selection to the server 4000. [ The transmission may include some preprocessing. For example, the user device 5900 may determine the size and parameters of the image before sending the request to the server 4000, or the processing may be handled by the server 4000. Following the bold line arrows to the left from the user select transmission module 5920 up to FIG. 1k, the transmission goes to the server 4000 as described herein. The transmission to the server 4000 may include data for the user device, e.g., screen resolution, window size, device type, user identity, level of service the user pays (such service is prioritized by the camera / (E.g., in an embodiment), other capabilities of the device, such as frame rate, and the like.

Referring again to FIG. 1i, FIG. 1i also includes a selected image receiving module 5930 and a user selection presenting module 5940, which are described in more detail below with respect to the data flow of this embodiment.

Now, with reference to Figure 1t (graphically represented as "downward" and "rightward" in Figure 1i), in one embodiment, server 4000 may include a selected image receiving module 4510. In one embodiment, the selected image receiving module 4510 of the server 4000 may receive the selected target from the user device 5900. [ The selected target data can take various forms. For example, the selected target data may be image data, may be metadata identifying the selected target, or may include some other name such as an ID number, a tracking number or an information piece (e.g., Social security number). The selected target data may be an address or a physical description, or it may be any other instance of data that can be used to identify something.

Referring again to Figure 1t, in one embodiment, server 4000 may include a selected image preprocessing module 4520. [ The selected image preprocessing module 4520 may perform one or more tasks to preprocess the image, some of which have been described above with respect to other embodiments. In one embodiment, server 4000 may also include an ISA-to-pixel information transfer module 4330 configured to transfer image request data to image retrieval array 3200, as described above.

1ad and 1an, the array local processing module 3700 may be connected to the image sensor array 3200 via a higher bandwidth communication link 3505, e.g., a USB or PCI port. In one embodiment, the image sensor array 3200 may include a request receiving module 3710. [ The request receiving module 3710 may receive a request for an image from the server 4000 as described above. The request receiving module 3710 may send data to the pixel selection module 3720 and the pixel selection module 3720 may receive the pixels captured from the image sensor array 3200 and select the pixels to be maintained. That is, in one embodiment, by using (sometimes integrated) user requests and captured images, the pixel selection module 3720 selects the pixels explicitly requested by the user and sends those pixels back to the server Can be displayed.

After the pixels to be retained are identified, other pixels that do not need to be retained are removed, e.g., decimated in the unused pixel decimation module 3730. In one embodiment, these pixels are simply discarded, e.g., not stored in long term memory. That is, to the digital trash can 3717. In other embodiments, some or all of these pixels are stored in a local memory, e.g., local memory 3715. [ From there on, these pixels may be transmitted to various locations at idle times, as described in the previous embodiments, maintained for image processing by array local processing module 3300, or other operations or processes separate from user requests . In one embodiment, the unused pixel decimation module 3730 is configured to allow more of the image (e.g., the entire scene, the entire scene, etc.) to be used so that the server 4000 can accurately determine what image Or many of the field of view surrounding the target) to the server 4000.

Referring again to FIG. 1 a, the selected pixels may be transmitted to the server 4000 using the next selected pixel transmission module 3740. The selected pixel transmission module 3740 may include any necessary transmission equipment, such as a cellular radio, a wireless adapter, etc., depending on the communication format. In one embodiment, only the requested pixels are transmitted to the server via lower bandwidth communication 3710. [ Similar to the lower bandwidth communication 3715, the lower bandwidth communication 3710 does not refer to a particular amount of bandwidth, but only to a lower bandwidth communication 3505 than the higher bandwidth communication 3505.

It should be noted that more pixels may be sent in certain embodiments than are explicitly requested by the user. For example, the array local processing module 3700 may transmit pixels that border the user request area but are outside the user request area. In one embodiment, as described herein, such pixels may be transmitted at different resolutions or transmitted using different types of compression. In another embodiment, additional pixels may simply be transmitted the same as the requested pixels. In another embodiment, the server 4000 may extend the user requested area so that the array local processing module 3600 only transmits the requested pixels, but the requested pixels are larger than the area originally requested by the user . These additional pixels may be transmitted and "cached " by a server or local device that may be used to reduce latency in a process described in more detail below.

Referring now back to Figure 1t, in one embodiment, the server 4000 may include a received image post-processing module 4550. [ The received image post-processing module 4550 may receive image data from the array local processing module 3600 (e.g., via arrows from Figure 1an to "north " This image may include the pixels requested from the image sensor array 3200.

In one embodiment, the server 4000 may also include an advertisement insertion module 4560. The advertisement insertion module 4560 may insert an advertisement into the received image. The advertisement may be based on one or more of the content of the image, the characteristics of the user or user device, or the settings of the ad server component 7700 (e.g., see FIG. The ad insertion module 4560 may place the ad on the image using any known image combination technique, or in other embodiments, the ad image may be in a separate layer, overlaid, or have any other data structure . In one embodiment, the ad insertion module 4560 may include a contextual ad insertion module 4562 configured to add ads based on the context of the image. For example, if the image is a live street view of a department store, the context of the image may show advertisements related to products sold in that department store, for example, clothing, cosmetics or electrical appliances.

Again, referring to FIG. 1t, the server 4000 may include a received image transmission module 4570 that includes advertisements in a user device configured to send an image 5900. The receive image transmission module 4570, which includes advertisements on the user device, may include components needed to communicate with the user device 5900, and in some embodiments may include one or more other modules of the server 4000, Or wireless antennas and components.

Referring again to Figure 1i, the user device 5900 includes a selected image receiving module 5930 for receiving pixels transmitted by the server 4000 and, for example, by displaying the requested pixels on the screen of the device, And a user selection presentation module 5940 for displaying the pixels that have been selected by the user to the user. In one embodiment, the display of an image may be performed through an exemplary interface that causes a new image to be displayed and a period of the user's request when the user navigates through what is shown in MUVIA, for example, as shown in Figure 1i .

Referring now to FIG. 1ac, FIG. 1ac shows an ad server component 7700 configured to deliver an advertisement to server 4000 for insertion into an image prior to delivery to a user. In one embodiment, the ad server component 7700 may be integrated with the server 4000. In another embodiment, the ad server component may be separate from the server 4000 and communicate with the server 4000. In another embodiment, instead of interacting with the server 4000, the ad server component 7700 may interact directly with the user device 5900, insert an advertisement into the image after receiving the image, In an embodiment, a user device may be allowed to display advertisements concurrently with the image (e.g., overlapping or adjacent). In such an embodiment, some of the modules described above of the server 4000 may be integrated into the user device 5900, but the functionality of such modules will operate similarly to that described above.

Referring again to Figure 1ac, in one embodiment, the ad server component 7700 may include a user data collection module 7705. [ The user data collection module 7705 may collect data from the user device 5900 and use the data to drive the placement of the advertisement (e.g., based on the user browser history, etc. for the sports site).

Referring again to Figure 1ac, in one embodiment, the ad server component 7700 may include an ad database 7715 containing ads ready to be inserted into the image. In one embodiment, such advertisements may be generated hastily.

Referring again to Figure 1ac, in one embodiment, the ad server component 7700 may include an ad request receiving module 7710 that receives a request to add an ad to the drawing For the sake of easy understanding). In one embodiment, the ad server component 7700 may include an ad selection module 7720, and the ad selection module 7720 may include an image configured to analyze the image to determine the best context- Analysis module 7722. [ In one embodiment, the determination may be made by the server 4000, or some of it may be done at the server 4000 and some at the ad server component 7700 (e.g., A component may have a set of ads that can select a particular ad). In one embodiment, various third parties can compensate the ad server component 7700, the server 4000, or the operator of any other component of the system for receiving preferential treatment.

Referring again to Figure 1ac, in one embodiment, the ad server component 7700 may include a selected ad transfer module 7730 that sends the selected ad (or a collection of selected ads) to the server 4000 . In one embodiment, the selected advertisement transmission module 7730 may send a complete image with the overlaid advertisement in an implementation where, for example, the ad server component 7700 also handles the placement of the advertisement. In embodiments where the ad server component 7700 is integrated with the server 4000, the module may be an internal transport module, such as in all such transmit / receive modules.

In exemplary environment 200,

2A, a method, system, circuit, article of manufacture, and computer program product and structure in accordance with various embodiments may be implemented in an exemplary environment 200, which may be implemented by at least one server device 230, . The imaging device 220 may include a plurality of individual sensors for capturing data. Although generally referred to throughout this specification as "image data ", this is simply a shorthand for data that can be collected by the sensor. Other data, including video data, audio data, electromagnetic spectrum data (e.g., infrared, extreme ultraviolet, radio, microwave data), thermal data, etc., may be collected by the sensor.

2A, in one embodiment, the imaging device 220 may operate within the environment 200. In one embodiment, Specifically, in one embodiment, imaging device 220 may capture scene 215. Scene 215 may be captured by multiple sensors 243. Scene 243 may be grouped into an array, which in this context means that the sensors can be grouped in any pattern in any plane, but have a fixed position relative to each other. The sensor 243 may capture the image as a portion, and the partial images may be attached together by the processor 222. Of the images captured by the sensor 243 of the scene 215, there may be overlap and the overlapping images may be removed.

When a scene is captured in the imaging device 220, the requested pixels are selected in a process and system that will be described in more detail below. Specifically, a program that is created by a remote user, by a server, by a local device, by another device, by a program written by an external user with an API, by a component communicating with the image device, Pixels may be transmitted over the communication network 240 to a remote location. The pixels to be transmitted are illustrated as the selected portion 255 in FIG. 2A, but this is merely a simplified representation of the purpose of illustration.

2A, in one embodiment, the server device 230 may be any device or group of devices connected to a communications network. Although in some embodiments the server device 230 is separate from the imaging device 220, this is not a requirement. The server device 230 may be "remote" from the imaging device 220, which is a separate component, but does not necessarily imply a particular distance. The communication network may be a local transmission component, for example a PCI bus. The server device 230 may include a request handling module 232 that handles requests for images from a user device, e.g., a user device 250A, 240B. The request handling module 232 may also handle other remote computers and / or users that wish to take active control of the imaging device, e.g., via an API or through more direct control.

The server device 230 may also include an imaging device management module that may perform some of the processing to determine which of the captured pixels of the imaging device 220 is maintained. For example, the imaging device management module 234 may perform some pattern recognition to recognize objects of interest in the scene, such as a particular football player, as shown in the example of FIG. 2A. In another embodiment, the processing may be handled at the imaging device 220 or at the user device 250. In one embodiment, the server device 230 limits the size of the portion selected by the screen resolution of the requesting user device.

The server device 230 may then send the requested portion to the user device, e.g., the user device 250A and the user device 250B. In another embodiment, the user device may communicate directly with the imaging device 220 and separate the server device 230 from the system.

In one embodiment, although user devices 250A and 250B are shown, a user device may be any electronic device or combination of devices that may be co-located or distributed across multiple devices and / or locations. The imaging device 220 may be a server device or may be a user level device such as, but not limited to, a cellular phone, a network phone, a smartphone, a tablet, a music player, a walkie- talkie, (E.g., augmented reality glasses and / or headphones), wearable electronic devices (e.g., wrist watches, belts, earphones or "smart" clothing), earphones, headphones, audio / visual devices, media players, (For example, a global positioning system ("GPS") system), a medical alarm device, a remote control Devices, peripherals, electronic safes, electronic locks, electronic security systems, video cameras, personal video recorders, personal audio recorders, and the like. The device 220 allows the device 220 to output data to the client in the form of a sensory (e.g., visual or any other sensory) form, and / or allows the device 220 to display, for example, And a device interface 243 that allows data to be received via a typing or pointing device (e.g., mouse) movement. The user device 250 may include a viewfinder or viewport that allows the user to view through the lens of the imaging device 220 regardless of whether the user device 250 is spatially close to the imaging device 220. [

2A, in various embodiments, communication network 240 may be a local area network (LAN), a wide area network (WAN), a metropolitan area network (MAN), a wireless local area network (WLAN) , Worldwide Interoperability for Microwave Access (WiMAX), Public Switched Telephone Network (PTSN), General Packet Radio Service (GPRS) network, cellular network, and the like. The communication network 240 may be a wired communication network, a wireless communication network, or a combination of a wired communication network and a wireless communication network. Note that "communication network" when used in this specification refers to one or more communication networks that may or may not interact with each other.

Referring now to FIG. 2B, FIG. 2B shows a more specific version of the server device 230 according to the embodiment. The server device 230 may include a device memory 245. In one embodiment, the device memory 245 may be a memory, a random access memory ("RAM"), a read only memory ("ROM"), a flash memory, a hard drive, a disk- Media, magnetic storage, optical storage, volatile memory, non-volatile memory, and any combination thereof. In one embodiment, the device memory 245 may be separate from the device. For example, the device memory 245 may be available on other devices in the network or wirelessly. For example, in a network system, the device memory 245 may be located at a central server several feet away or there may be more than one server device 230 that may be located across the sea. In one embodiment, the device memory 245 includes one or more mass storage devices, read only memory (ROM), programmable read only memory (PROM), erasable programmable read only memory (EPROM), random access memory , Flash memory, synchronous random access memory (SRAM), dynamic random access memory (DRAM), and / or other types of memory devices. In one embodiment, the memory 245 may be located at a single network site. In one embodiment, the memory 245 may be located at a plurality of network sites including sites that are spaced from one another. In one embodiment, the device memory 245 may include one or more of a cache image 245A and previously held image data 245B, as described in more detail below.

Referring again to FIG. 2B, in one embodiment, server device 230 may include an optional viewport 247 that may be used to view images captured by server device 230. This optional viewport 247 may be physically (e.g., glasses) or electrically (e.g., an LCD screen) or may be remote from the server device 230.

Referring again to FIG. 2B, FIG. 2B shows a more detailed description of the server device 230. In one embodiment, the device 220 may include a processor 222. The processor 222 may include one or more microprocessors, a central processing unit ("CPU"), a graphics processing unit ("GPU"), a physical processor, a digital signal processor, In one embodiment, the processor 222 may be a server. In one embodiment, processor 222 may be a distributed core processor. Although processor 222 is depicted as a single processor that is part of a single device 220, processor 222 may be a plurality of processors distributed in one or more devices 220, which may or may not be configured to operate together. have.

The processor 222 may be configured to execute one or more of the operations described above and computer readable instructions to execute the operations illustrated in Figures 10, 11A-11G, 12A-12E, 13A-13C, and 14A-14E . In one embodiment, the processor 222 is designed to be configured to operate as a processing module 250, and the processing module 250 includes a module 252 for obtaining a request for specific image data that is part of a scene, A module (254) for sending a request for specific image data to the image sensor array, the module (254) comprising a plurality of image sensors and configured to transmit a request to an image sensor array configured to capture a scene larger than the specific image data requested, Configured to receive specific image data exclusively from an image sensor array configured to transmit a selected particular portion of a scene to a remote location; One or more of modules 258 for sending specific image data to at least one requestor .

In the exemplary environment 300A,

Referring now to FIG. 3A, FIG. 3A illustrates an exemplary embodiment of an imaging device, for example, an imaging device 220A operating in an environment 300A. In one embodiment, the imaging device 220A may comprise an array 310 of image sensors 312 as shown in FIG. In this image, the array of image sensors is shown in a rectangular grid, but this is a simple example to show that the image sensor 312 can be arranged in any format. In one embodiment, each image sensor 312 captures a portion of the scene 315, and the captured portion is then processed by the processor 350. Although the processor 350 is shown as being local to the imaging device 220A, the processor 350 is capable of providing a sufficiently high bandwidth connection (e.g., multiple USB 3.0 lines) to receive all data from the array of image sensors, Lt; RTI ID = 0.0 > 220A. ≪ / RTI > In one embodiment, a selected portion from a scene (e.g., a portion shown in a shaded box, e.g., a selected portion 315) may be transmitted to the remote device 330, (330) may be a user device or a server device as described above. In one embodiment, pixels that are not transmitted to the remote device 330 may be stored or discarded in the local memory 340.

In the exemplary environment 300B,

Referring now to FIG. 3B, FIG. 3B illustrates an exemplary embodiment of an imaging device, for example, an imaging device 320B operating in environment 300B. In one embodiment, the imaging device 320B may include an array of image sensors arrayed around the image sensor array 340B, e.g., a polygon to increase the viewable field of view in this example. That is, they can capture the scene 315 shown in FIG. 3B as a natural landmark that can be seen at the time of virtual tour setting. The processor 322 receives the scene 315B and selects pixels from the requested scene 315B, e.g., the requested portion 317B as requested by the user. The requested portion 317B is transmitted only once, (324B). In one embodiment, the requested portion 317B may be transmitted over a communication network 240 to a remote location.

In the exemplary environment 300C,

Referring now to FIG. 3C, FIG. 3C shows an exemplary embodiment of an imaging device, for example, an imaging device 320C operating in environment 300C. In one embodiment, the imaging device 320C may capture the scene portion 315C described above in connection with a scene, particularly a portion of the scene, e.g., another embodiment (e.g., an image device 320C) have been omitted for clarity of illustration). In one embodiment, for example, the scene portion 315C may represent a street level view of a busy road, for example, for a virtual tour or virtual reality simulator. In one embodiment, other portions of the scene portion 315C may be transmitted at different resolutions or at different times. For example, in one embodiment, a central portion of the scene portion 315C, e.g., a portion 316 corresponding to what the user's eye is seeing, may have a first resolution or " Quot; full " resolution. In one embodiment, the outer boundary, e.g., portion 314, outside portion 316 may be transmitted at a second resolution lower than the first resolution. In other embodiments, the outer portion, e.g., portion 312, may be discarded, transmitted at a lower rate, or transmitted asynchronously.

In an exemplary environment 400A,

Referring now to FIG. 4A, FIG. 4A shows an exemplary embodiment of a server device, for example, a server device 430A. In one embodiment, the imaging device, e.g., imaging device 420A, captures scene 415. [ Scene 415 may be stored in local memory 440. A portion of the scene 415 requested by the server device 430A may be transmitted to the requested pixel receive module 432 of the server device 430A (e.g., via the requested image transfer 465) . In one embodiment, the requested pixel sent to the requested pixel receive module 432 may correspond to an image requested by various users and / or devices (not shown) in communication with the server device 430A.

4A, in one embodiment, pixels not transmitted from the local memory 440 of the imaging device 420A may be stored in the non-transferred pixel temporary storage 440B. These untransmitted pixels may be stored and transmitted to the server device 430A at a later time, for example, at a free time in the request for an image of the scene 415. [ For example, in one embodiment, the pixels stored in the non-transferred pixel temporary storage 440B may be read at night, or when another user is disconnected from the system, or between the image device 420A and the server device 430A Requested pixel reception module 434 of the server device 430A when the available bandwidth for transferring the pixel reaches a predetermined threshold value.

In one embodiment, the server device 430A may analyze the pixels received by, for example, the unsolicited pixel receive module 434, so that whenever a portion of the scene 415 is requested, from the image device 420A May provide a repository of static images from scene 415 that need not be transmitted.

In exemplary environment 400B,

Referring now to FIG. 4B, FIG. 4B shows an exemplary embodiment of a server device, e.g., server device 430B. In one embodiment, the imaging device, e.g., imaging device 420B, captures scene 415B. Scene 415B may be stored in local memory 440B. In one embodiment, imaging device 420B may capture the same scene 415B multiple times. In one embodiment, scene 415B may include a constant area 416A that is part of an image that has not changed since the last time that scene 415B was captured by imaging device 420B. In one embodiment, scene 415B may also include a change area 416B where scene 415B may be part of the changed image after the last time it was captured by imaging device 420B. Although the modified area 416B is illustrated as being polygonal and continuous in Fig. 4B, this is for illustrative purposes only and the modified area 416B may be non-polygonal and / or non-contiguous in some embodiments.

In one embodiment, the imaging device 420B, when capturing the scene 415B, uses the image previously stored in the local memory 440B to reconstruct the previous image, e.g., the previous image 441B, For example, it may compare with the current image 442B and determine which area of the scene 415B has changed. The changed area may be transmitted to the server device 430B, for example, to the change area receiving module 432B. This may occur via change area transmission 465 as shown in FIG. 4B.

Referring again to FIG. 4B, in one embodiment, the server device 430B receives the change area from the change area reception module 432B. The server device 430B may also include a constant area addition module 434B that adds a previously stored constant area to the memory (not shown) of the server device 430B from the previous transfer from the imaging device 420B. In one embodiment, server device 430B may also include a completed image transfer module 436B configured to send the completed image to a user device, e.g., user device 450B, that has requested the image.

In the exemplary environment 500A,

Referring now to FIG. 5A, FIG. 5A shows an exemplary embodiment of a server device, e.g., server device 530A. In one embodiment, imaging device 520A may capture scene 515 using image sensor array 540 as described above. The image can be temporarily stored in the local memory 540 (when it is photographed) or partially or totally stored in the local memory before being transmitted to the server apparatus 530A. In one embodiment, the server device 530A may include an image data receiving module 532A. The image data receiving module 532A may receive the image from the imaging device 520A. In one embodiment, the server device 530A may include a data appending module 534A that may append additional data to the received image data. In one embodiment, the additional data may or may not be visible and may be, for example, pixel data or metadata. In one embodiment, the additional data may be advertisement data. In one embodiment, the additional data may be context dependent image data. For example, if the image data is from a football player, the additional data may be statistics for that player, or an advertisement for an online shop that sells the player's uniform.

In one embodiment, the additional data may be stored in a memory (not shown) of the server device 530A. In another embodiment, the additional data may be retrieved from an ad server or other data server. In one embodiment, the additional data may be tailored to one or more characteristics of the user or user equipment. For example, the user can set each player displayed on the screen to add the player's last name. Referring again to Figure 5A, in one embodiment, the server device 530A receives modified data from the data appending module 534A and later stores the modified data in a request for an image of, for example, scene 415 May include a modified data transfer module 536A for transferring to a user device at, for example, a user device requesting image data, for example, to user device 550A or to server device 430A at idle times have. For example, in one embodiment, the pixels stored in non-transferred pixel temporary storage 440B may be stored at night, or when another user is disconnected from the system, or between image device 420A and server device 430A Requested pixel reception module 434 of the server device 430A when the available bandwidth for transferring the pixel reaches a predetermined threshold value.

In one embodiment, the server device 430A may analyze the faxes received by, for example, the unsolicited pixel receive module 434 to retrieve the faxes from the image device 420A whenever a predetermined portion of the scene 415 is requested. It may provide a repository of static images from scene 415 that need not be transmitted.

In the exemplary environment 500B,

Referring now to FIG. 5B, FIG. 5B shows an exemplary embodiment of a server device, e.g., server device 530B. In one embodiment, a plurality of user devices, e.g., user device 502A, user device 502B, and user device 502C can each send a request for image data from a scene, e.g., scene 515B have. Each user device may send a request to a server device, e.g., server device 530B. The server device 530B may integrate requests into a single combined request 570 that may be for various resolutions, shapes, sizes, and other features. The overlapping portions of the request can be combined, for example, as shown in the overlap region 572. [

In one embodiment, the server device 530B sends the combined request 570 to the imaging device 520B. In one embodiment, the imaging device 520B uses the combined request to specify the selected pixels 574, the selected pixels 574 may then be transmitted back to the server device 530B, Here, the process of combining requests is reversed and each user device 502A, 502B, 502C can receive the requested image. This process is described in more detail below.

Exemplary embodiments of various modules of each portion of processor 250

6-9 show an exemplary embodiment of the various modules forming each part of the processor 250. [ In one embodiment, the modules include hardware that is hard coded, such as, for example, in an application specific integrated circuit ("ASIC") or hardware that is physically reconfigured through gate activation depicted by computer instructions, Display.

Referring now to FIG. 6, FIG. 6 illustrates an exemplary implementation of module 252 for obtaining a request for specific image data that is part of a scene. As shown in FIG. 6, a module for obtaining a request for specific image data that is part of a scene may include one or more sub-logic modules in various alternative implementations and embodiments. For example, as shown in FIG. 6, e.g., FIG. 6A, in an embodiment module 252 includes a module 602 that is part of a scene and obtains a request for specific image data that includes one or more images, And a module 604 for receiving a request for specific image data that is part of the scene. In one embodiment, module 604 may include a module 606 for receiving a request for specific image data that is part of a scene from a client device. In one embodiment, module 606 includes a module 608 for receiving a request for specific image data that is part of a scene from a client device configured to display at least a portion of a scene, And a module 612 for receiving a request for specific image data that is part of the scene from the server. In one embodiment, module 608 may include a module 610 for receiving a request for specific image data that is part of a scene from a client device configured to display at least a portion of a scene in a viewfinder. Module 612 includes a module 614 for receiving a request for specific image data that is part of a scene from a client device configured to receive a scene based selection of a particular image, And a module (616) for receiving a request for specific image data that is part of a scene from one or more various devices configured to process the image.

Referring again to FIG. 6, e. G., FIG. 6B, as described above, in one embodiment, the module 252 may include image data that is part of a scene that is image data collected by an array of two or more image sensors A module 620 for obtaining a request for specific image data that is part of a scene that is a representation of image data collected by an array of two or more image sensors, have. In one embodiment, the module 620 includes a module 622 for obtaining a request for specific image data that is part of a scene that is a sampling of image data collected by an array of two or more image sensors, A module 624 that obtains a request for specific image data that is part of a scene that is a subset of the image data collected by the array of image sensors 622 and a portion of the scene that is a low resolution version of the image data collected by the array of two or more image sensors And a module 626 for obtaining a request for specific image data.

Referring again to FIG. 6, for example, FIG. 6C, in one embodiment module 252 includes a module 628 for obtaining a request for specific image data that is part of a scene being a football game, A module 632 for obtaining a request for specific image data that is part of a scenery that is a tourist spot, and a request for specific image data that is part of a scene that is a home inside And a module 634 for performing the functions described herein.

Referring again to Figure 6, e.g., Figure 6d, in one embodiment module 252 may include a module 636 for obtaining a request for specific image data that is an image of a portion of a scene. In one embodiment, the module 636 includes a module 638 for obtaining a request for specific image data that is a scene of a particular football player and a football field, a module 638 for retrieving the image of the license plate and the specific image data And a module 640 for obtaining a request for a request for a service request.

Referring again to Figure 6, for example, Figure 6E, in an embodiment module 252 includes a module 642 for obtaining a request for a particular image object located in a scene, a scene And a module 644 for determining specific image data of the image data. In one embodiment, the module 642 includes a module 646 for obtaining a request for a particular person located in the scene, a module 648 for obtaining a request for a basketball located in the scene, A module 650 for obtaining a request for a human object representation located in a scene, and a module 652 for obtaining a request for a human object representation located in a scene.

Referring again to FIG. 6, e.g., FIG. 6F, in one embodiment module 252 includes a module 662 for receiving a first request for first specific image data from a first requestor, A module 664 for receiving a second request for the first specific image data from the requester and a second received request for the first specific image data and a second received request for the second specific image data A module 670 for receiving a first request for the first specific image data and a second request for the second specific image data, a module 666 for combining the received first request and the received second request, And a module 672 for performing the functions described herein. Module 666 combines a first received request for the first specific image data and a second received request for the second specific image data into a request for specific image data (step < RTI ID = 0.0 > 668 < / RTI > In one embodiment, the module 672 may include a module 674 for replicating a common pixel of the received first request and the received second request.

Referring again to FIG. 6, e.g., FIG. 6G, in an embodiment module 252 includes a module 676 for obtaining a request for specific video data that is part of a scene, A module 680 for receiving a request for specific image data that is part of a scene from a user device having an audio interface, and a module 680 for receiving specific image data that is part of the scene from a microphone- And a module 682 for receiving a request for a request for a service request.

Referring now to FIG. 7, FIG. 7 shows an exemplary implementation of module 254 for sending a request for specific image data to an image sensor array. As shown in FIG. 7, the module 254 for sending a request for specific image data to the image sensor array may include one or more sub-logical modules in various alternative implementations and embodiments. For example, as shown in FIG. 7, e.g., FIG. 7A, in an embodiment module 254 includes an image sensor array < RTI ID = 0.0 > A module 702 for sending a request for specific image data to the image sensor array, the image sensor array being configured to send a request to the image sensor array, the image sensor array comprising two angular image sensors and configured to capture a scene larger than the specific image data requested; A module 704 for sending a request for specific image data to the image sensor array configured to send a request to the image sensor array to send a request to the image sensor array, Configured to send a request to a configured image sensor array Configured to send a request to an image sensor array that includes two or more image sensors arranged in a line and is configured to capture a scene larger than the specific image data requested, the module (706) A module 708 for sending a request for specific image data to the sensor array, and a module 708 for sending a request to the image sensor array that includes two or more nonlinearly arranged fixed image sensors and is configured to capture a scene larger than the specific image data requested. And a module 710 configured to transmit a request for specific image data to the image sensor array.

7, for example, FIG. 7B, in one embodiment module 254 includes a module 712 for sending a request for specific image data to an image sensor array including an array of static image sensors, A module 716 for sending a request for specific image data to an image sensor array including an array of image sensors installed in the movable platform, A module 718 configured to send a request for specific image data to the image sensor array configured to send a request to an image sensor array configured to capture an image, The image sensor array configured to capture a scene indicative of an image of the subject, Of the module 724 for sending a request for a specific image data in the image sensor array can include one or more. In one embodiment, the module 712 may include a module 714 that transmits a request for specific image data to an image sensor array that includes an array of static image sensors having a fixed focal length and a fixed field of view. In one embodiment, module 718 is configured to send a request to an image sensor array that is configured to capture a scene that includes two or more image sensors and displays ten times as much data as the requested specific image data, A module 720 for sending a request for specific image data to the array, a request for an image sensor array configured to capture a scene containing two or more image sensors and displaying at least 100 times as much data as the requested specific image data And a module 722 configured to transmit a request for specific image data to the image sensor array configured to transmit the image data.

Referring again to FIG. 7, for example, FIG. 7C, in one embodiment module 254 includes a module 726 for modifying a request for specific image data, And a module 728 for sending a request. In one embodiment, the module 726 may include a module 730 for removing designated image data from a request for specific image data. In one embodiment, the module 730 may include a module 732 for removing designated image data from a request for specific image data based on pre-stored image data. In one embodiment, the module 732 includes a module 734 that removes the specified image data from the request for specific image data based on the pre-stored image data retrieved from the image sensor array, And a module 736 for removing designated image data from the request for specific image data based on the stored image data. In one embodiment, the module 736 may include a module 738 for removing designated image data from a request for specific image data based on pre-stored image data that is an early version of the specified image data that is a static object .

7, for example, Fig. 7d, in one embodiment module 254 may include module 726 and module 728 as described above. In one embodiment, the module 726 includes a module 740 for removing specified image data from a request for specific image data based on pixel data interpolation / extrapolation, a portion of the request for specific image data previously stored in memory A module 744 that identifies the particular image data, and a module 746 that removes the identified portion of the request for specific image data. In one embodiment, the module 740 may include a module 742 that removes designated image data corresponding to one or more static image objects from a request for specific image data based on pixel data interpolation / extrapolation. In one embodiment, the module 744 includes a module 748 that identifies a portion of the request for specific image data previously captured by the image sensor array, and at least one static image object And a module 750 that identifies a portion of the request for specific image data, including the image data. In one embodiment, the module 750 includes a module 752 that identifies a portion of a request for specific image data, including at least one static image object of a rock outcropping previously captured by the image sensor array .

Referring again to Figure 7, for example, Figure 7E, in an embodiment module 254 includes a module 754 for determining the size of the request for specific image data, And a module 756 for sending a request of a determined size. In one embodiment, the module 754 includes a module 758 that determines the size of the request for a particular image, at least in part, based on the user device attributes, and a module 758 that determines, for at least in part, A module 764 for determining the size of the request, a module 764 for determining the size of the request for a particular image based at least in part on the available bandwidth, a request for a particular image based at least in part on the device usage time, A module 766 for determining the size of the request, and a module 768 for determining the size of the request for the particular image based at least in part on the device usable bandwidth. In one embodiment, the module 758 may include a module 760 that at least partially determines the size of the request for a particular image based on the user device resolution.

Referring now to FIG. 8, FIG. 8 shows an exemplary implementation of module 256 for exclusively receiving specific image data from an image sensor array. As shown in FIG. 8A, the module 256 for exclusively receiving specific image data from the image sensor array may include one or more sub-logical modules in various alternative implementations and embodiments. For example, as shown in FIG. 8, e.g., FIG. 8A, in one embodiment, the module 256 includes a module 802 for receiving specific image data from an image sensor array where other image data is discarded, A module 804 for receiving specific image data from an image sensor array in which data is stored in the image sensor array and a module 806 for receiving specific image data exclusively in near real time from the image sensor array have.

Referring again to FIG. 8, for example, FIG. 8B, in one embodiment, the module 256 includes a module 808 for receiving specific image data exclusively in near real time from the image sensor array, And a module 810 for later retrieving data from the scene. In one embodiment, the module 810 includes a module 812 for retrieving data from a scene that is not specific image data at a time of available bandwidth, a module 812 for retrieving data from a scene other than the specific image data, A module 816 for retrieving data from a scene other than the specific image data at a time when a specific image data request is not in the image sensor array, a module 816 for retrieving data from a scene other than the specific image data, And a module 818 for retrieving at a time of the sensor array capacity.

Referring again to FIG. 8, for example, FIG. 8C, in one embodiment module 256 includes a module 820 for exclusively receiving specific image data, including audio data, from the image sensor array, And a module 822 exclusively receiving specific image data from the image sensor array determined to be embedded in the image object. In one embodiment, the module 822 may include a module 824 for exclusively receiving specific image data determined by the image sensor array to contain a particular requested image object.

Referring now to FIG. 9, FIG. 9 illustrates an exemplary implementation of module 258 for transmitting received specific image data to at least one requestor. As shown in FIG. 9A, the module 258 for transmitting the received specific image data to at least one requester may include one or more sub logic modules in various alternative implementations and embodiments. For example, as shown in FIG. 9, e.g., FIG. 9A, in an embodiment module 258 includes a module 902 for transmitting the received specific image data to at least one user device requester, A module (906) for performing operations to separate data into a set of one or more requested images, a module (912) for sending the received specific image data to at least one user device requesting image data that is part of the received specific image data ). ≪ / RTI > In one embodiment, the module 902 may include a module 904 that transmits the received specific image data to at least one user device that requested at least a portion of the particular image data requestor received. In one embodiment, the module 906 may include a module 910 that performs operations to separate received specific data into a first requested image and a second requested image.

Referring again to FIG. 9, for example, FIG. 9B, in one embodiment module 258 includes a module 914 for transmitting a first portion of the received specific image data to a first requestor, A module 916 for sending a second portion of the data to the second requester, and a module 926 for sending the unaltered received specific image data to at least one requester. In one embodiment, the module 914 may include a module 918 for sending a first portion of the received specific image data to a first requester requesting the first portion. In one embodiment, the module 918 may include a module 920 for sending certain pieces of received image data, including certain football players, from the football game to the requesting television device. In one embodiment, the module 916 may include a module 922 for sending a second portion of the received specific image data to a second requestor requesting the second portion. In one embodiment, the module 922 may include a module 924 that transmits the portion of the car's view to the second requestor, which is a tablet device requesting a view of the car.

Referring again to FIG. 9, for example, FIG. 9C, in one embodiment module 258 includes a module 928 that facilitates adding supplemental data to at least a portion of the particular image data received to generate transmit image data. And a module 930 for transmitting the generated transmission image data to at least one requestor. In one embodiment, the module 928 includes a module 932 that facilitates the addition of advertising data to at least a portion of the particular image data received to generate the transmitted image data, And modules 938 that facilitate the addition of related visual data to at least a portion of the data. In an embodiment, the module 932 may include a module 934 that facilitates adding context-based advertising data to at least a portion of the particular image data received to generate the transmitted image data. In one embodiment, the module 934 may include a module 936 that facilitates adding animal rights donation advertising data to at least a portion of the received specific image data, including jungle tigers, in an oasis to generate transfer image data. have. In one embodiment, the module 938 may include a module 940 that facilitates adding associated fancy statistical data to at least a portion of the received specific image data of the quarterback data to generate transmitted image data.

Referring again to FIG. 9, e.g., FIG. 9D, in one embodiment module 258 includes a module 942 that facilitates modification of a portion of the particular image data received to generate the transmitted image data, And a module 944 for transferring the transmitted image data to at least one requestor. In one embodiment, the module 942 includes a module 946 to facilitate image manipulation modification of a portion of the particular image data received to generate the transfer image data, And a module 952 that facilitates redaction of a portion of the signal. In one embodiment, the module 946 includes a module 948 to facilitate contrast harmonization modification of a portion of the particular image data received to generate the transfer image data, And a module 950 for facilitating the color correction harmonization of a portion of the image. In one embodiment, the module 952 may include a module 954 that facilitates the calibration of a portion of the particular image data received to generate the transmit image data based on the requestor's security clearance level. In an embodiment, the module 954 may include a module 956 that facilitates the calibration of a portion of the received satellite image data, including the tank, to generate transmit image data based on the requestor's security permission level .

Referring again to Figure 9, for example, Figure 9E, in one embodiment module 258 includes a module 958 for transmitting a low-resolution version of the received specific image data to at least one requester, And a module 960 that transmits an alternate version of the data to at least one requestor.

In some implementations described herein, logical implementations and similar implementations may include software or other control structures. For example, an electronic circuit may have one or more current paths configured and arranged to implement the various functions described herein. In some implementations, the one or more media may be configured to include a device detectable implementation when maintaining or transmitting device detectable instructions operable to perform such media as described herein. In some variations, for example, an implementation includes updating or modifying existing software or firmware, or updating or modifying a gate array or programmable hardware by performing receiving or transferring one or more operations relating to one or more of the operations described herein can do. Alternatively or additionally, in some variations, an implementation may include general purpose components that execute or otherwise invoke special purpose hardware, software, firmware components, and / or special purpose components. Specifications or other implementations may be transmitted by one or more instances of the tactical transmission medium described herein by selectively passing the distributed media at various times by packet transmission or otherwise.

A series of flowcharts depicting the implementation are described below. For ease of understanding, a flow diagram illustrates how an initial flow diagram presents an implementation through an exemplary implementation, and then the following flowchart illustrates a subcomponent operation or addition that builds an alternative implementation and / or extension of the initial flow diagram in one or more early- As a component operation. Those skilled in the art will appreciate that the presentation schemes used herein (e.g., presentation schemes starting with a flow diagram presentation of an exemplary implementation and then providing additional and / or detail to subsequent flowcharts) Easy understanding is possible. It will also be appreciated by those skilled in the art that the presentation scheme used herein is also well suited to a modular and / or object oriented programming design paradigm.

Exemplary operational implementations of the processor 250 and exemplary Variation example

In Fig. 10 and the figures thereafter, various operations can be described in an in-box manner. Such a description may indicate that the operation within the inner box includes an optional embodiment of the operation steps described in one or more outer boxes. It should be understood, however, that the operation of the inner box may be viewed as an independent operation separated from any associated outer box, performed in any order with respect to all other illustrated operations, or concurrently. Further, the operations illustrated in FIG. 10 as well as other operations described herein may be performed by at least one of a machine, an article of manufacture, or a composition.

Those skilled in the art will appreciate that state-of-the-art technology has advanced to the point where there is little distinction between hardware, software, and / or firmware implementations of the system aspects; It will be appreciated that the use of hardware, software, and / or firmware is typically a design option that represents a cost-to-efficiency trade-off (not always because the choice between hardware and software in some circumstances may be important). Those skilled in the art will appreciate that the processes and / or systems and / or other techniques described herein may be practiced with various mediums (e.g., hardware, software and / or firmware) and that the preferred medium may be a process and / or system and / It will be understood that other techniques may vary depending on the situation in which they are developed. For example, if the implementer determines that speed and accuracy are important, the implementer can chose mainly the hardware and / or firmware medium; Alternatively, if flexibility is important, the implementer can chose mainly the software implementation; Alternatively, as an alternative, the implementer may select any combination of hardware, software, and / or firmware. Thus, there are several possible medias that can be used to implement the processes and / or apparatus and / or other techniques described herein, and any mediator utilized will depend upon the circumstances dependent upon the circumstances in which the mediator is deployed and the particular interests of the implementer None of them are inherently superior to others in terms of speed, flexibility, or predictability, all of which can vary. Those skilled in the art will appreciate that optical implementations typically utilize optically oriented hardware, software, and / or firmware.

Throughout this specification, an example or list is given with parentheses, with abbreviations such as "e.g. " or with both parentheses and abbreviations. Unless expressly stated otherwise, these examples and lists are illustrative only and not exhaustive. In most cases, it will not be possible to list all examples and all combinations. Thus, rather than limiting the scope of such terms, use smaller illustrative lists and examples, focusing on understanding the claims.

10, there is shown an exemplary operation of a message processing device 230 operating in an operation 1000, e.g., environment 200. Referring now to FIG. In one embodiment, operation 1000 may include obtaining (1002) a request for specific image data that is part of a scene. For example, FIG. 6, e.g., FIG. 6B, illustrates a scene (e.g., data comprising graphical data, audio data, and actual / derived data) (E. G., A collection of image data, e. G., Pixels or other electronic data) that is part of a sensor array or image sensor array, which may be both data captured, pixel data, A graphic representation of configured objects or other data such as data captured by an image sensor, such as a CCM or CMOS sensor, or audio data and other data in the electromagnetic spectrum, such as infrared data, microwave data, etc. Such as image data from an arbitrary source (Which may come from a communication network or port, or an input / output port, or from a human or other entity, or from any device) From a collection of any device or device capable of operating on an image, such as a television, a computer, a laptop, a smartphone, etc., for displaying, storing, analyzing, or imaging an image, (E.g., receiving from an entity requesting an image, such as a video or a computer designed to view a person appearing in a still shot), or otherwise acquiring (e.g., receiving, receiving, Request for specific image data that is part of a scene (including receiving, accessing commands, receiving passwords, etc.) Module 252 is shown.

A device, component, or system configured to collect two or more image sensors (e.g., light, acoustic or other electromagnetic spectrum data, and / or convert the collected data into digital data or perform at least a portion of the operations described above) (E. G., Composed of pixels or other electronic data, such as an image (e. G., A set of components)) through the use of an array of components (e. G., An array, symmetry or any grouping configured to work together harmonically regardless of appearance) (E.g., a collection of data including visual data such as pixel data, acoustic data, electromagnetic data, invisible spectral data, etc.) that includes a sensor, e.g., a graphic representation of objects captured by a CCM or CMOS sensor.

Referring again to FIG. 10, operation 1000 includes an operation 1004 (FIG. 10) for sending a request for specific image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested. ). For example, FIG. 2, e.g., FIG. 2B, is a graphical representation of objects made up of specific image data (e.g., a collection of image data, e.g., pixels or other electronic data) Other data, such as infrared data, microwave data, etc., which may or may not contain data from a plurality of sensors of an array of two or more image sensors, (Which may be a subset of the entire scene, including some pixel data that is not related to preprocessing or post-processing)) (arbitrarily representing a computer-based request for data, such as image data from any source, Data, which may be a communication network or Port, or input / output port, or from a human or other entity, or from any device) to at least two image sensors (e.g., optical, acoustic or other electromagnetic spectrum data, and / (E.g., a device, component, or set of components configured to convert the processed data into digital data or to perform at least a portion of the operations described above) (E.g., having any processing step, preprocessing step, or step) that has a higher or larger value, such as size, resolution, color depth, pixel data grain size, number of colors, hue, saturation, Data captured by an array of two or more image sensors, such as image data or other data, (E. G., Acoustic or electromagnetic data captured by an array of two or more image sensors, which may be combined or attached together in any processing step, preprocessing step or post-processing step) to an image sensor array A module 254 for sending a request for specific image data to the image sensor array.

Referring again to FIG. 10, operation 1000 may include operation 1006 of receiving only specific image data from the image sensor array. For example, FIG. 2, such as FIG. 2B, illustrates an image sensor array (e.g., continuous or non-continuous, whether patterned or not, and whether the image sensor is uniformly distributed throughout the array, (E.g., the specified pixel data sent from the image sensor array) from a set of one or more image sensors that are grouped together regardless of whether they are spatially grouped or connected And does not transmit portions of the scene that are not part of the image).

Referring again to FIG. 10, operation 1000 may include operation 1008 of transmitting the received specific image data to at least one requestor. For example, FIG. 2, e.g., FIG. 2B, depicts a particular image data received (e.g., at least partially, but not exclusively), designated pixel data sent from the image sensor array, (The requesting entity requesting the data separated by the requested data into specific image data may be a device, a person, an artificial intelligence, or a part of a computer routine or system, etc.) To the at least one requester, the particular image data received, which may be sent to the requester (s).

Figures 11A-11G illustrate various implementations of an operation 1002 for obtaining a request for specific image data that is part of a scene, in accordance with an embodiment. Referring now to FIG. 11A, operation 1002 may include an operation 1102 of obtaining a request for specific image data of a scene including one or more images. For example, FIG. 6, e.g., FIG. 6A, illustrates a scene including one or more images (e.g., a scene including one or more images, such as an image of a wristwatch worn by a person crossing a street corner, Such as a television, a computer, a laptop, a smart phone, or the like) for a particular image data item (e.g., a street corner) From a collection of any device or device capable of operating on a display, storage, analysis, or image, or from a set of devices, for example, a person, an automatic monitoring system, an artificial intelligence, intelligent amplification (e.g., (E.g., from a requesting entity, such as a computer designed), and one or more They show a module 602 for obtaining a request for a specific image data including the image.

Referring again to FIG. 11A, operation 1002 may include an operation 1104 of receiving a request for specific image data of a scene. For example, FIG. 6, e.g., FIG. 6A, receives a request for specific image data (e.g., a particular player from a game) of a scene (e.g., a game portion captured by an image sensor array) (E.g., from a device, such as a user's personal laptop device), for a particular image data that is part of a scene.

Referring again to FIG. 11A, operation 1104 may include an operation 1106 of receiving a request for specific image data of a scene from a user device. For example, FIG. 6, e.g., FIG. 6A, receives a request for specific image data of a scene (e.g., a still shot of an area outside the building where all motion is detected, (E.g., receiving a call from an API that accesses a remote server that sends a command to an image sensor array) from a client device.

Referring again to FIG. 11A, operation 1106 may include an operation 1108 of receiving a request for specific image data of a scene from a user device configured to display at least a portion of the scene. For example, FIG. 6, e.g., FIG. 6A, illustrates a scene (e.g., a scene) from a user device (e.g., a smart television) configured to display at least a portion of a scene (e.g., data captured by an image sensor array of an animal oasis) From a client device configured to display at least a portion of a scene, receiving a request for specific image data (e.g., image data of a particular animal) of the scene (e.g., image data including sound and video from an animal oasis) And module 608 for receiving a request for specific image data.

Referring again to FIG. 11A, operation 1108 may include receiving (1110) a request for specific image data of a scene from a user device configured to display at least a portion of the scene in a viewfinder. For example, FIG. 6, e.g., FIG. 6A, depicts a scene in a viewfinder (e.g., a scene or a set of screens that can display and / or process image data, (E.g., the image data captured by the image sensor array of the Vatican) from a user device (e.g., a smartphone device) configured to display at least a portion of a virtual camera A module for receiving a request for specific image data of a scene from a client device configured to display at least a portion of a scene in a viewfinder, receiving a request for specific image data of the scene (an image of a St. Petersburg basilica in Rome, Italy) 610). Note that the viewfinder may be away from where the image is captured.

Referring again to FIG. 11A, operation 1106 may include receiving (1112) a request for specific image data of a scene from a user device configured to receive a selection of a particular image. For example, Figure 6, e.g., Figure 6a, illustrates a user device (e.g., a user device, e.g., a computer device, configured to receive a selection of a particular image) Quot; demo "version, which may involve, for example, presenting a low-resolution old version of the scene), and the device receives the selection and sends a request for specific image data to the server device) A module 612 receiving a request for specific image data of a scene from a client device configured to receive a selection of a particular image to receive a request for specific image data of the scene.

Referring again to FIG. 11A, operation 1112 includes receiving (1114) a request for specific image data of a scene from a user device configured to receive a selection of a particular image, the selection being based on a view of the scene ). For example, FIG. 6, e.g., FIG. 6A, illustrates a method for receiving a request for specific image data of a scene from a user device configured to receive a selection of a particular image, the selection being based on a view of the scene. A module 614 for receiving a request for specific image data that is part of a scene from a client device configured to receive a scene based selection.

Referring again to FIG. 11A, operation 1112 includes receiving (1116) a request for specific image data of a scene from a user receiving a request for specific image data of a scene from a user device configured to receive a selection of a particular image ), Wherein the user device is one or more of a smart phone, a television, a computer screen, a tablet, a camera, a consumer electronics device, and an augmented reality device. For example, FIG. 6, e.g., FIG. 6A, illustrates a method for receiving a request for specific image data of a scene from a user receiving a request for specific image data of a scene from a user device configured to receive a selection of a particular image A module 616 that receives a request for specific image data that is part of a scene from one or more various devices configured to receive scene based selections, wherein the user device is a smartphone, a television, a computer screen, a tablet, , A home appliance, and an augmented reality device.

Referring now to FIG. 11B, operation 1002 may include an act 1118 of obtaining a request for specific image data of a scene, wherein the scene is acquired by an array of two or more image sensors Image data. For example, FIG. 6, e.g., FIG. 6B, depicts an exemplary embodiment of an array of two or more image sensors that obtains a request for specific image data of a scene (e.g., a live street view of a corner in New York City near Madison Square Garden) A module 618 for obtaining a request for specific image data that is part of a scene that is image data collected by a processor (not shown), wherein the scene is an array of two or more image sensors (E. G., Video and audio data) collected by a set of twenty-five 10-megapixel CMOS sensors arranged at an angle.

Referring again to FIG. 11B, operation 1002 may include an act 1120 of obtaining a request for specific image data of a scene, wherein the scene is an image (e.g., an image) collected by an array of two or more image sensors It is an indication of data. For example, Figure 6, e.g., Figure 6b, illustrates a method for obtaining a request for a particular image data (e.g., an image on a particular street spot) of a scene (e.g., a city street in Alexandria, Virginia) A module 620 for obtaining a request for specific image data that is part of a scene that is a representation of image data collected by an array of two or more image sensors (e.g., a UAV (For example, data on image data, for example, image data, for example, sampling data), which is acquired by image data (e.g., 1000 pixel sensors each consisting of two megapixels , Subset, description, search location).

Referring again to FIG. 11B, operation 1120 may include an act 1122 of obtaining a request for specific image data of a scene, wherein the scene is an image (e.g., an image) collected by an array of two or more image sensors Sampling of data. For example, FIG. 6, e.g., FIG. 6B, obtains a request for specific image data that is part of a scene that is a sampling of image data collected by an array of two or more image sensors, Wherein the scene is acquired by an array of two or more image sensors (e.g., an array of two 30-megapixel sensors angled towards each other) (For example, a randomly selected or selected subset of patterns) of image data (e.g., collected, read, stored) image data (e.g., images of checkout lines at discount points).

Referring again to FIG. 11B, operation 1120 may include an act of obtaining a request for specific image data of a scene 1124, wherein the scene is captured by an image of an array of two or more image sensors It is a subset of data. For example, FIG. 6, e.g., FIG. 6B, illustrates a method for obtaining a request for a particular image data (e.g., a particular object in the house, for example a refrigerator) A module 624 for obtaining a request for specific image data that is part of a scene that is a subset of the image data collected by the array of two or more image sensors (e.g., (E.g., a half of the image data, a whole sampling, or a selected region of the image data, or only the contrast data) collected by the three-megapixel image sensors .

Referring again to FIG. 11B, operation 1120 may include an act 1126 of obtaining a request for specific image data of a scene, wherein the scene is an image (e.g., an image) collected by an array of two or more image sensors It is a low-resolution version of the data. For example, FIG. 6, FIG. 6B illustrates an embodiment of a method for obtaining a request for a particular image data (e.g., an image of a particular car passing through a bridge) of a scene (e.g., a highway bridge) A module 626 for obtaining a request for specific image data that is part of a scene that is a low-resolution version of the image data collected by the array, wherein the scene includes image data (E. G., "Low " herein means" lower than the possible resolution provided by the apparatus that captured the image ").

Referring now to FIG. 11C, operation 1002 may include operation 1128 to obtain a request for specific image data of a scene being a football game. For example, FIG. 6, e.g., FIG. 6C, illustrates a module 628 for obtaining a request for specific image data that is part of a scene being a football game, obtaining a request for specific image data of a scene being a football game.

Referring again to FIG. 11C, operation 1002 may include an operation 1130 to obtain a request for specific image data of a scene, which is a distance view of an area. For example, Figure 6, e.g., Figure 6c, shows a request for specific image data that is a distance view (e.g., live or slightly delayed view) of a region (e.g., a street corner, a garden oasis, a mountain top, And acquires a request for specific image data that is part of the scene, which is a local view of the area to be acquired.

Referring again to FIG. 11C, operation 1002 may include an operation 1132 to obtain a request for specific image data in scenes that are sightseeing. For example, Figure 6, e.g., Figure 6c, depicts a request for specific image data that is part of a scene that is a tourist spot, obtaining a request for specific image data of a scene that is a tourist scene (e.g., a giant pyramid of Giza) Gt; 632 < / RTI >

Referring again to FIG. 11C, operation 1002 may include an act of obtaining a request for specific image data of a scene that is internal to the house (act 1134). For example, Figure 6, e.g., Figure 6c, obtains a request for specific image data that is part of a scene that is internal to the house, obtaining a request for specific image data of a scene that is internal (e.g., inside the house) Lt; RTI ID = 0.0 > 634 < / RTI >

Referring now to FIG. 11D, operation 1002 may include an act of obtaining a request for particular image data of a scene 1136, wherein the particular image data is an image that is part of a scene. For example, Figure 6, e.g., Figure 6d, may be used to obtain a request for specific image data that is an image of a portion of a scene, which obtains a request for specific image data (e.g., an image of a tiger in a wildlife reserve) Module 636 where the particular image data is an image (e.g., an image of a tiger) that is part of the scene (e.g., image data of a wildlife reserve).

Referring again to FIG. 11D, operation 1136 may include obtaining a request for particular image data of a scene 1138, wherein the particular image data includes image data of a particular football player, The scene is a football field. For example, FIG. 6, FIG. 6D illustrates a module 638 for obtaining a request for a scene, which is a particular image data and a football field, which is an image of a particular football player, obtaining a request for specific image data of the scene Wherein the specific image data includes image data of a particular football player, and the scene is a football field.

Referring again to FIG. 11D, operation 1138 may include an act of obtaining a request for particular image data of a scene 1140, wherein the particular image data includes image data of a license plate, The scene is an image representation of a highway bridge. For example, FIG. 6 illustrates a module 640 for obtaining a request for a scene, which is a highway bridge, and specific image data, which is an image of a license plate, which obtains a request for specific image data of a scene , Wherein the specific image data includes image data of a license plate, the scene being a highway bridge (e.g., an image of a highway bridge).

Referring now to FIG. 11E, operation 1002 may include an operation 1142 to obtain a request for a particular image object located in the scene. For example, Figure 6, e. G., Figure 6e, illustrates a method for obtaining a request for a particular image object (e.g., a particular type of bird) located within a scene And a module 642 for obtaining a request for an object.

Referring again to FIG. 11E, operation 1002 may include operation 1144 (which may occur with operation 1142) of determining specific image data of a scene containing a particular image object. For example, FIG. 6, e.g., FIG. 6E, may be used to identify specific image data of a scene (e. G., An image of a bird sanctuary) that contains a particular image object (e. G. (E.g., a 1920x1080 image containing a bird of a particular image object).

Referring again to FIG. 11E, operation 1142 may include an operation 1146 to obtain a request for a particular person located in the scene. For example, FIG. 6, e.g., FIG. 6E, may be used to identify a particular person (e.g., a person who walks in a certain manner or wanders outside the store, or a particular celebrity or athlete , Or a business that tracks a particular worker), in response to a request for a particular person located in the scene.

Referring again to FIG. 11E, operation 1142 may include an operation 1148 to obtain a request for a basketball located in a scene that is a basketball court. For example, FIG. 6, e.g., FIG. 6E, illustrates a module for obtaining a request for a basketball located in a scene, obtaining a request for a basketball (e.g., image data corresponding to a basketball) 648 < / RTI >

Referring again to FIG. 11E, operation 1142 may include an operation 1150 to obtain a request for a vehicle located in the scene. For example, FIG. 6, e. G., FIG. 6e, illustrates a module 650 for obtaining a request for a car located in a scene to obtain a request for a car located in the scene.

Referring again to FIG. 11E, operation 1142 may include an operation 1152 to obtain a request for any human object representation located in the scene. For example, Fig. 6, e. G., Fig. 6E, illustrates a display of any human object located within a scene (e.g., any image data corresponding to a human being, (E.g., when walking for an application to take), a request for a human object representation located in the scene.

Referring again to FIG. 11E, operation 1144 may include an operation 1153 of determining specific image data of a scene containing a particular image object through application of automatic pattern recognition to scene image data. For example, FIG. 6, e. G., FIG. 6E, illustrates a method for automatically recognizing a human image through automatic pattern recognition (e. G., Machine recognition, e.g., shape based classification, head-shoulder detection, motion- (E.g., a tennis match) through the application of a particular image object (e.g., a tennis player) through the application of a particular image object And a module 653 for determining specific image data of the nested scene.

Referring again to FIG. 11E, operation 1144 includes determining the specific image data of the scene containing the particular image object through identification of a particular image object in the previous scene data, which is image data of the scene from at least one previous point in time Lt; RTI ID = 0.0 > 1154 < / RTI > For example, FIG. 6, e.g., FIG. 6E, illustrates a method for determining specific image data of a scene that contains a particular image object through identification of a particular image object in the previous scene data that is image data of the scene from at least one previous point in time. And module 654 for determining specific image data of a scene containing a particular image object through object identification in scene data.

Referring again to FIG. 11E, operation 1144 may include an operation 1156 of determining specific image data of a scene containing a particular image object through identification of a particular image object in the cached scene data. For example, FIG. 6, e.g., FIG. 6E, illustrates module 656 for determining specific image data of a scene containing a particular image object through object identification in cached previous scene data.

Referring again to FIG. 11E, operation 1156 may be performed to identify specific image data of a scene containing a particular image object through identification of a particular image object in cached scene data previously transmitted from an image sensor array containing two or more image sensors (Step 1158). ≪ / RTI > For example, FIG. 6, e. G., FIG. 6e, illustrates a pre-transmitted cache from an image sensor array (e. G., A set of 25 image sensors) containing two or more image sensors (e. G., 3-megapixel CMOS sensors) Specific image data of a scene containing a specific image object (for example, a specific landmark, or a lion in a water hole) through identification of a specific image object (for example, a lion in a water supply hole) The module 658 determines the particular image data of the scene containing the particular image object through object identification in the cached previous scene data previously transmitted from the image sensor array.

Referring again to FIG. 11E, operation 1156 may be performed within the cached scene data previously transmitted from the image sensor array containing two or more image sensors, when the bandwidth is available for connection to the image sensor array including two or more image sensors. And determining (1160) the particular image data of the scene containing the particular image object through identification of the particular image object. For example, Figure 6, e. G., Figure 6e, illustrates how cached scene data (e. G., ≪ RTI ID = 0.0 > e. For example, even though the cached scene data in this example came from the previous frame for less than one second, for example, the data stored in the server from the previous time point, regardless of whether it came a millionth of a second ago or a few years ago (E.g., a shopping cart that does not match the cash register occurrence list among those purchased by the person who turned off the shopping cart) through identification of the image object (e.g., a particular item, e.g., a toaster oven) From the image sensor array at a particular time to determine specific image data of the scene containing the particular item And module 660 for determining specific image data of a scene containing a particular image object through object identification in previously transmitted cached previous scene data.

Now, referring to FIG. 11F, operation 1002 may include an operation 1162 of receiving a first request for a first specific image data from a scene from a first requestor. For example, FIG. 6, e.g., FIG. 6f, illustrates a first request (e.g., a tiger) for a first particular image data from a scene (e.g., a watering hole) (E.g., a request for a 1920x180 "HD" view) from a first requestor (e.g., a family viewing a watering hole from an Internet access television) Lt; RTI ID = 0.0 > 662 < / RTI >

Referring again to FIG. 11F, operation 1002 may include receiving (at operation 1162) an operation 1164 of receiving from a first requestor a second request for a second specific image data from a scene, Lt; / RTI > For example, FIG. 6, e.g., FIG. 6f, depicts a second request for a second specific image data (e.g., a second animal such as a Pelican) from a scene (e.g., (E.g., a 640x480 view of the phone) from a second requestor (e.g., a person viewing a stream of water holes in his or her smartphone) from a second requestor Lt; RTI ID = 0.0 > 664 < / RTI >

Referring again to FIG. 11F, operation 1002 includes combining (1166) the received first request for the first specific image data from the scene and the received second request for the second specific image data from the scene, . ≪ / RTI > For example, FIG. 6, e.g., FIG. 6F, illustrates a first request for a first specific image data from a scene (e.g., a request to view a running back of a football team) (E.g., a request to view a quarterback of the same football team) for the second specific image data from the first particular image data (e.g., a request to view a quarterback of the same football team) And module 666 that combines a second received request for specific image data.

Referring again to FIG. 11F, operation 1166 includes comparing the received first request for the first specific image data from the scene with the received second request for the second specific image data from the scene, To a request for specific image data to merge (step < RTI ID = 0.0 > 1168). ≪ / RTI > For example, FIG. 6, e.g., FIG. 6F, illustrates a first request for a first specific image data from a scene (e.g., a request from a device 502A as shown in FIG. 5B) (E.g., a request from the device 502B as shown in FIG. 5B) for the particular image data (e. G., A request from the device 502B as shown in FIG. 5B) (E.g., a request for a particular image data that incorporates a first specific image data 574) and a second received request for a second specific image data Lt; RTI ID = 0.0 > 668 < / RTI >

Referring again to FIG. 11F, operation 1002 may include an act of receiving (1170) a first request for first specific image data from the scene and a second request for second specific image data from the scene have. For example, FIG. 6, e.g., FIG. 6f, illustrates a first particular image data (e.g., image data of a particular street corner from a Street View) from a scene (e.g., a live street view of DoG Street in Alexandria, VA) (E.g., image data at the opposite corner of the live street view) from a first request to a second request (e.g., a live street view of DoG Street in Alexandria, VA) A module 670 that receives a first request for first specific image data and a second request for second specific image data.

Referring again to FIG. 11F, operation 1002 includes an operation 1172 (which may appear with operation 1170) combining the received first request and the received second request into a request for specific image data can do. For example, FIG. 6, e.g., FIG. 6F, illustrates how a received first request (e.g., 1920x1080 requests in a Sphinx virtual tour view) and a received second request (e.g., (410 × 210 request of the virtual tour view) to a request for specific image data (eg, a request to be sent to the image sensor array as to which pixel to keep), the received first request and the received second request Lt; RTI ID = 0.0 > 672 < / RTI >

Referring again to FIG. 11F, operation 1172 may include an operation 1174 to remove common pixel data between the received first request and the received second request. For example, FIG. 6, e.g., FIG. 6F, illustrates how a received first request (e. G., A request to view a left field of a Washington National from a baseball game) and a received second request (E.g., delete, mark, flag, erase, store in a different format, request to view the right fielder of another pixel data) , A common pixel de-duplication module 674 between the received first request and the received second request, and a common pixel de-duplication module 674 between the received first request and the received second request, Respectively.

Referring now to FIG. 11G, operation 1002 may include an act 1176 of obtaining a request for specific image data that is part of a scene, wherein the particular image data includes video data. For example, FIG. 6, e.g., FIG. 6g, illustrates a module 676 for obtaining a request for specific video data that is part of a scene, obtaining a request for specific image data that is part of a scene, The data includes video data (e.g., streaming data such as in a live street view at a corner near the Berrizon Center in Washington, DC).

Referring again to FIG. 11G, operation 1002 may include an operation 1178 to obtain a request for specific image data that is part of a scene, wherein the particular image data includes audio data. For example, FIG. 6, e.g., FIG. 6g, illustrates a module 678 for obtaining a request for specific audio data that is part of a scene, obtaining a request for specific image data that is part of a scene, The data includes audio data (e.g., acoustic data in an oasis, or data of people in a story in an image).

Referring again to FIG. 11G, operation 1002 may include obtaining (1180) a request for specific image data that is part of a scene from a user device receiving a request for specific image data via an audio interface. For example, Figure 6, e.g., Figure 6g, illustrates a request for specific image data that is part of a scene (e.g., a scene of a football pitch during a game) (e.g., a request for viewing a particular person, Request) to a user device that receives a request for specific image data via an audio interface (for example, a person speaks to an interface built into the television to direct a television about which player is next) A television connected to the Internet), from a user device having an audio interface, for a particular image data that is part of a scene.

Referring again to FIG. 11G, operation 1002 includes an act 1182 of obtaining from a user a request for specific image data that is part of a scene from a user device having a microphone receiving a spoken request for specific image data can do. For example, Figure 6, e.g., Figure 6g, illustrates a request for a particular image data (e.g., an image of a cheetah in a jungle oasis) that is part of a scene (e.g., a jungle oasis) (E. G., "Zoomed in on the cheetah") for specific image data (e.g., an image of a cheetah in a jungle oasis) from a person A module 682 for receiving a request for specific image data that is part of a scene, obtained from a user device (e.g., a smartphone device), from a microphone-mounted user device having an audio interface.

Figures 12A-12E illustrate various aspects of operation 1004 for sending a request for specific image data to an image sensor array that includes two or more image sensors and is configured to capture a scene that is larger than the specific image data requested, This is an implementation example. Referring now to FIG. 12A, operation 1004 includes an operation to transmit a request for specific image data of a scene to an image sensor array that includes two or more image sensors and is configured to capture an image larger than the requested image data ( 1202 < / RTI > For example, FIG. 7, e.g., FIG. 7A, includes two or more image sensors and the requested image data (e.g., the requested image data is 1920 × 1080 (eg, about 2 million pixels) (E. G., An array of twelve sensors each consisting of 10-megapixels) configured to capture a larger image than an image (e.g., the region is subtracted from the overlap and is 12,000,000 pixels) A module 702 that includes two or more image sensors and transmits a request for specific image data to an image sensor array configured to capture a larger image.

Referring again to FIG. 12A, an operation 1004 includes two image sensors arranged side by side and angled toward each other, and to an image sensor array configured to capture an image larger than the requested image data, (Operation 1204). ≪ / RTI > For example, Figure 7, e.g., Figure 7a, illustrates an image sensor array that is arranged side by side and includes two image sensors angled towards each other and configured to capture an image larger than the requested image data (e.g., (For example, a chemical laboratory) that sends a request for specific image data to a scene (e.g., the camera captures 10.5 million pixels, although the data is a zoom-out view of the laboratory that can be represented by 170 million pixels) A module 704 that transmits a request for specific image data to an image sensor array that is configured to send the request to an image sensor array that includes a built-in image sensor and is configured to capture a scene that is larger than the specific image data requested have.

Referring again to FIG. 12A, operation 1004 includes sending a request for specific image data of a scene to an image sensor array that includes an array of image sensors arranged in a grid and is configured to capture an image larger than the requested image data Operation 1206 may be included. For example, Figure 7, e.g., Figure 7a, includes an array of image sensors arranged in a grid and includes the requested image data (e.g., the requested image data is divided into areas smaller than the image (e.g., the entire football field) (For example, the area around the football player), and transmits a request for specific image data of the scene to an image sensor array that is configured to capture a larger image than the image sensor And sending the request to the image sensor array for a particular image data configured to send the request to an image sensor array configured to capture a scene larger than the specific image data requested.

Referring again to FIG. 12A, operation 1004 includes an array of image sensors arranged in a line so that the field of view is greater than or equal to 120 degrees and includes an image sensor array configured to capture an image larger than the requested image data, And sending a request for data (operation 1208). For example, Figure 7, e.g., Figure 7a, includes an array of image sensors arranged in a line such that the field of view is greater than or equal to 120 degrees and includes a larger image than the requested image data (e.g., one or more cars in the highway) (For example, an image of a highway) to the image sensor array that is configured to capture a scene (e.g., an image of a highway) A module 708 for sending a request for specific image data to an image sensor array configured to send the request to an image sensor array configured to capture the image.

Referring again to FIG. 12A, operation 1004 includes a grouping of non-linear and non-sequentially arranged fixed image sensors, and includes a step of determining whether the image sensor array is configured to capture an image larger than the requested image data, And transmitting the request (operation 1210). For example, FIG. 7, e.g., FIG. 7A, includes a grouping of non-linear and non-sequentially arranged fixed image sensors (e.g., 5-pixel CCD sensors) To send the request to an image sensor array that includes two or more non-linearly arranged fixed image sensors that transmit requests for specific image data of the scene to the sensor array and that are configured to capture a scene larger than the specific image data requested A module 710 configured to send a request for specific image data to an image sensor array.

Referring now to FIG. 12B, operation 1004 includes an act of sending a request for specific image data of a scene to an image sensor array that includes an array of static image sensors and is configured to capture an image larger than the requested image data ( 1212). For example, FIG. 7, FIG. 7B illustrates a static image sensor, which includes an array of static image sensors and transmits a request for specific image data of a scene to an image sensor array configured to capture an image larger than the requested image data. Lt; RTI ID = 0.0 > 712 < / RTI >

Referring again to FIG. 12B, operation 1212 includes an array of image sensors having a fixed focal length and a fixed field of view, and includes an image sensor array configured to capture an image larger than the requested image data, (1214). ≪ / RTI > For example, FIG. 7, e.g., FIG. 7B, includes an array of image sensors (e. G., 25 megapixel CMOS sensors) having a fixed focal length and a fixed field of view and configured to capture images larger than the requested image data Specific image data of a scene (e.g., a mountain watering hole) to an image sensor array (e.g., the requested image has an ultra-high resolution, but displays an area smaller than that captured in the scene) , A request for specific image data to an image sensor array that includes an array of static image sensors having a fixed focal length and a fixed field of view, which transmits a request for an image of a black bear.

Referring again to FIG. 12B, operation 1004 includes sending a request for specific image data of a scene to an image sensor array that includes an array of image sensors installed in the movable platform and is configured to capture a scene larger than the requested image data Operation 1216 may be included. For example, Figure 7, e.g., Figure 7b, includes an array of image sensors installed in a moving platform (e.g., a movable dish or a UAV) and includes an array of image sensors (e.g., To an image sensor array that includes an array of image sensors installed in a movable platform that transmits a request for specific image data of a scene to an image sensor array configured to capture a larger scene (e.g., the scene is a wide view of the city) And module 716 for sending a request for specific image data.

Referring again to FIG. 12B, operation 1004 includes a request for a particular image data of a scene to an image sensor array that is configured to capture a scene containing two or more image sensors and displaying more image data than the requested specific image data Lt; RTI ID = 0.0 > 1218 < / RTI > For example, FIG. 7, e.g., FIG. 7B, depicts a request for specific image data of a scene to an image sensor array that is configured to capture a scene that includes two or more image sensors and displays more image data than the requested specific data Configured to send the request to an image sensor array configured to capture a scene containing two or more image sensors and displaying more data than requested specific image data, wherein the request to the image sensor array module for a particular image data Lt; RTI ID = 0.0 > 718 < / RTI >

Referring again to FIG. 12B, operation 1218 includes an image sensor array that includes two or more image sensors and is configured to capture a scene that displays more than ten times more image data than the requested image data, (1220) a request for specific image data of the image. For example, FIG. 7, FIG. 7B includes two or more image sensors and may include more than ten times more image data than a lot of image data (e.g., 1.8 million pixels) , ≪ / RTI > 20 million pixels), and transmits a request for specific image data of the scene to an image sensor array configured to capture a scene representing 10 times A module 720 for sending a request for specific image data to an image sensor array module configured to send the request to an image sensor array configured to capture a scene displaying image data.

Referring again to FIG. 12B, operation 1218 includes the steps of capturing a scene in an image sensor array that includes two or more image sensors and is configured to capture a scene that displays image data at least 100 times more image data than the requested specific image data And sending a request for image data (1222). For example, Figure 7, e.g., Figure 7b, includes two or more image sensors (e.g., 20 sensors each comprising 2 mega pixels, 4 mega pixels, 6 mega pixels, 8 mega pixels, and 10 mega pixels) An image sensor array (e.g., 100) configured to capture a scene displaying 100 times more image data (e.g., 600 million pixels versus 200 million pixels requested) than image data as much as the requested specific image data (E.g. a 1920x1080 image of a red truck passing through a bridge) of specific image data of a scene (e.g., a highway bridge) to a set of sensors Configured to capture the scene displaying image data at least 100 times more data than the requested specific image data, It shows a module 722 to send a request for a specific image data to the sensor array module.

Referring again to FIG. 12B, operation 1004 includes an operation 1224 for sending a request for specific image data of a scene to an image sensor array configured to capture a scene displaying a larger view than requested specific image data can do. For example, FIG. 7, FIG. 7B illustrates a scene showing a larger view (e.g., an entire corner) than the requested image data (e.g., a bakery only) (e.g., a live street at a crowded corner (E.g., an image of a bakery in a corner) to an image sensor array configured to capture a particular image (e.g., a view) of the scene, A module 724 for sending a request for specific image data to an image sensor array configured to send the request to an image sensor array configured to capture a scene indicative of a view.

Referring now to FIG. 12C, operation 1004 may include an operation 1226 of modifying a request for specific image data. For example, FIG. 7, e.g., FIG. 7C, may be used to modify (e.g., modify, alter, add, subtract, delete, supplement, (E.g., modify, change attributes, etc.) a particular image data.

Referring again to FIG. 12C, operation 1004 includes transmitting more than one image sensor and sending a modified request for specific image data to an image sensor array that is configured to capture a scene larger than the specific image data requested 1228 (which may appear with action 1226). For example, FIG. 7, e.g., FIG. 7C, illustrates an embodiment of an image sensor array that includes two or more image sensors and is configured to capture a scene (e.g., a baseball game in a baseball stadium) A module 728 for sending a modified request for specific image data to the image sensor array, sending a modified request for the data (e.g., this request increases the area around the requested baseball player) .

Referring again to FIG. 12C, operation 1226 may include operation 1230 of removing designated image data from a request for specific image data. For example, FIG. 7, FIG. 7C illustrates an example of a request for a particular image data (e.g., a request to view a portion of a live street view) The module 730 removes designated image data from a request for specific image data, removing the image data, e.g., a building from a live street view, or a car that has not moved since the last request.

Referring again to FIG. 12C, operation 1230 may include operation 1232 of removing designated image data from a request for specific image data based on pre-stored image data. For example, FIG. 7, e.g., FIG. 7C, illustrates a case where the pre-stored image data (e.g., the first requested image already has a car in it and so the car will not be checked again for another 60 frames of captured image data (E.g., a request for viewing a portion of a live street view) based on a particular image data (e.g., a request for viewing a portion of a live street view) The module 732 removes the designated image data from the request for specific image data based on the pre-stored image data, removing the building from the view, or the vehicle that has not moved since the last request.

Referring again to FIG. 12C, operation 1232 may include removing (1234) the designated image data from the request for specific image data based on the pre-stored image data retrieved from the image sensor array. For example, FIG. 7, FIG. 7C illustrates an image sensor array (e.g., a static object, e.g., an image sensor array that transmitted an old version of data, including a portion of a bridge when the scene is a highway bridge, That is to say, the request for a scene including part of the static bridge is removed) from the request for specific image data based on the pre-stored image data retrieved from the image sensor array Thereby removing the designated image data from the request for specific image data.

Referring again to FIG. 12C, operation 1232 may include operation 1236 of removing designated image data from a request for specific image data based on pre-stored image data, which is an early version of the designated image data. For example, FIG. 7, FIG. 7C is a diagram showing an example of a preliminarily stored image data (for example, image data of a stadium) that is an early version of designated image data (for example, image data of a stadium one hour before or one frame before) Stored image data, which is an early version of the designated image data, which removes the designated image data (for example, a part of the playing field) from the request for specific image data (request to view the player in the stadium for the game) A module 736 for removing designated image data from a request for specific image data based thereon.

Referring again to FIG. 12C, operation 1236 includes retrieving one or more static objects from a request for specific image data that is a form of distance based on pre-stored image data of one or more static objects from an early version captured by the image sensor array And removing the image data (operation 1238). For example, FIG. 7, FIG. 7C illustrates an image of one or more static objects from a request for specific image data that is a view of the distance based on pre-stored image data of one or more static objects from an early version captured by the image sensor array. A module 738 for removing designated image data from a request for specific image data based on pre-stored image data that is an early version of the designated image data that is a static object that removes the data.

Referring now to FIG. 12D, operation 1226 may include operation 1240 of removing a portion of the request for specific image data through pixel interpolation or extrapolation of a portion of the request for the particular image data. For example, FIG. 7, e.g., FIG. 7D, illustrates a pixel interpolation of a portion of a request for specific image data (e.g., a request for a live street view including a building) From a request for specific image data based on pixel data interpolation / extrapolation, which removes a portion of the request (e.g., a portion of the uniform building) And a module 740 for removing data.

Referring again to FIG. 12D, operation 1240 may include operation 1242 of removing one or more static objects from a request for specific image data through pixel interpolation of a portion of the request for specific image data. For example, FIG. 7, FIG. 7D illustrates a pixel interpolation of a portion of a request for a particular image data (e.g., a request for a live street view including a building) (e.g., extrapolation of a known pattern of a pyramid Corresponding to one or more static image objects from a request for specific image data based on pixel data interpolation / extrapolation, which removes one or more static objects (e.g., bricks of a pyramid) And a module 742 for removing designated image data.

Referring again to FIG. 12D, operation 1226 may include operation 1244, which identifies at least one portion of the request for specific image data already stored in memory. For example, FIG. 7, FIG. 7D illustrates a request for certain image data already stored in memory (e.g., memory in a server device, e.g., memory 245) (E.g., a request for a virtual tournament exhibit) that is already stored in the memory 742. The module 744 identifies at least a portion of the request for specific image data that is already stored in the memory.

Referring again to FIG. 12D, operation 1226 may include operation 1246 (which may occur with operation 1244) to remove the identified portion of the request for specific image data. For example, FIG. 7, e.g., FIG. 7d, illustrates a method for removing specific portions of a request for specific image data (e. G., Removing a request portion that requests image data already stored in memory of the server) Lt; RTI ID = 0.0 > 746 < / RTI >

Referring again to FIG. 12D, operation 1226 may include operation 1248 to identify at least one portion of the request for specific image data previously captured by the image sensor array. For example, Figure 7, e.g., Figure 7d, identifies at least one portion of a request for specific image data previously captured by an image sensor array (e.g., an array of twenty-five 2-megapixel CMOS sensors) , A module 748 that identifies a portion of a request for specific image data previously captured by the image sensor array.

Referring again to FIG. 12D, operation 1226 may include operation 1250 of identifying one or more static objects of the request for specific image data previously captured by the image sensor array. For example, FIG. 7, FIG. 7D illustrates one or more static objects of a request for specific image data (e.g., image data of a portion of a rural village) previously captured by the image sensor array And a module 750 for identifying a portion of a request for specific image data, including at least one static image object previously captured by the image sensor array, identifying the image (e.g., road, tree, etc.)

Referring again to FIG. 12D, operation 1250 may include operation 1252 of identifying one or more natural rock stamps of a request for specific image data previously captured by the image sensor array. For example, FIG. 7, FIG. 7D identifies one or more natural rock stamps of a request for specific image data previously captured by an image sensor array (for example, an array of twenty-five 2-megapixel CMOS sensors) A module 752 that identifies a portion of a request for specific image data, including at least one static image object of a rock track previously captured by the image sensor array.

Now, referring to FIG. 12E, operation 1004 may include operation 1254 to determine the size of the request for specific image data. For example, FIG. 7, e.g., FIG. 7E, shows the size (e.g., number of pixels, or transmission rate, or number of frames per second) of a request for specific image data (e.g., data of a lion in a jungle oasis) Which determines the size of the request for specific image data, which determines the size of the request.

Referring again to Figure 12E, operation 1004 includes an operation 1256 (which may occur with operation 1254) of sending a request for specific image data sized to an image sensor array configured to capture a scene can do. For example, Figure 7, e. G., Figure 7e, illustrates an example of an image sensor array that transmits a request for specific image data sized to an image sensor array configured to capture a scene (e. RTI ID = 0.0 > 756 < / RTI > for sending a request of a determined size to the data.

Referring again to FIG. 12E, operation 1254 may include an operation 1258 that determines the size of the request for specific image data based, at least in part, on the attributes of the user device that requested at least a portion of the particular image data . For example, FIG. 7, e.g., FIG. 7E, illustrates the size of a request for specific image data (e.g., horizontal and vertical resolution, e.g., horizontal and vertical resolution, for example, at least partially based on attributes of a requesting user device) , 1920 x 1080), which determines the size of a request for a particular image based at least in part on a user device attribute.

Referring again to FIG. 12E, operation 1258 may include operation 1260 of determining the size of the request for specific image data based, at least in part, on the resolution of the user device that requested the particular image data. For example, FIG. 7, e. G., FIG. 7E, illustrates a method for determining the size of a request for a particular image data based at least in part on a resolution of a user device that requested the particular image data. Gt; 760 < / RTI > that determines the size of the request for the request.

Referring again to FIG. 12E, operation 1254 includes an operation 1262 of determining the size of the request for specific image data based, at least in part, on the device access level of the user device requesting at least a portion of the particular image data . For example, FIG. 7, e. G., FIG. 7e, illustrates at least some of the particular image data at the device access level of the requesting user device (e.g., whether the user has paid for the service, , ≪ / RTI > or whether there is another "superuser" that requires higher bandwidth and priority when receiving an image) And a module 762 that determines, based in part, the size of the request for a particular image.

Referring again to Figure 12E, operation 1254 may include operation 1264 of determining the magnitude of the request for specific image data based at least in part on the amount of available bandwidth in communication with the image sensor array. For example, FIG. 7, e. G., FIG. 7e, illustrates an image sensor array (e. G., A set of 25 image sensors lined on each side of a 25 plane polygonal structure) Module 764 determines the size of the request for a particular image based at least in part on the available bandwidth, which determines the size of the request for data.

Referring again to Figure 12E, operation 1254 includes an operation 1266 of determining the size of the request for specific image data based at least in part on the amount of time the requesting user device has requested image data for at least a portion of the particular image data. ). For example, FIG. 7, e. G., FIG. 7E, illustrates the amount of time that a requesting user device has requested image data for at least a portion of specific image data (e.g., a longer waiting device may have a preemptive right; Based on, at least in part, the device usage time, determining the size of the request for the particular image data based at least in part on the device < RTI ID = 0.0 > And a module 766 that determines the size of the request for the image.

Referring again to FIG. 12E, operation 1254 includes determining 1268 the size of the request for specific image data based, at least in part, on the amount of available bandwidth for communicating with the requesting user device, at least a portion of the particular image data. . ≪ / RTI > For example, FIG. 7, e. G., FIG. 7E, may be based on, at least in part, on the amount of available bandwidth for communicating with the requesting user device at least a portion of the particular image data If the bandwidth for the user device is a limiting factor, it can be considered and used in setting the size of the request for specific image data), determining the size of the request for specific image data, based at least in part on the device- And module 768 that determines the size of the request for a particular image.

Figures 13A-13C illustrate various implementations of operation 1006 for receiving only specific image data from an image sensor array, according to an embodiment. Referring now to FIG. 13A, operation 1006 may include an operation 1302 of receiving only specific image data from an image sensor array, wherein data from a scene that is not specific image data is discarded. For example, FIG. 8, FIG. 8A illustrates a module 802 that receives specific image data from an image sensor array where other image data is discarded, receiving only specific image data from the image sensor array, Data from scenes that are not image data is discarded (e.g., data can be stored at least temporarily, but not stored in places where overwriting is prohibited, such as in persistent memory).

Referring again to FIG. 13A, operation 1006 may include an operation 1304 of receiving only specific image data from an image sensor array, wherein data from a scene other than the specific image data is stored in the image sensor array . For example, FIG. 8, e.g., FIG. 8A, shows that other image data, which only receives specific image data (e.g., images of polar bears and penguins) from an image sensor array (e.g., 25 CMOS sensors) Where the data from a scene (e.g., an Antarctic ice floe) that is not specific image data is received by an image sensor array (e.g., 25 Lt; RTI ID = 0.0 > CMOS < / RTI >

Referring again to FIG. 13A, operation 1006 includes operation 1306 to receive specific image data from the image sensor array in near real time. For example, FIG. 8, e.g., FIG. 8A, can be used to receive specific image data from the image sensor array in near real time (e.g., substantially not enough to provide a real time appearance, , A module 806 for receiving a specific image from an image sensor array in an almost real-time exclusive manner.

Referring now to FIG. 13B, operation 1006 may include operation 1308 to receive specific image data from the image sensor array in near real time. For example, FIG. 8, e.g., FIG. 8B, shows an example of an image sensor that is capable of capturing specific image data from an image sensor array (e.g., 200 10-megapixel sensors) A module 808 for exclusively receiving, in near real time, certain image data from an image sensor array that receives specific image data from the image sensor array in near real time, receiving the image of the person in real time.

Referring again to FIG. 13B, operation 1006 may include an operation 1310 (which may occur with operation 1308) to retrieve data from a scene that is not specific image data at a later time. For example, FIG. 8, e.g., FIG. 8B, shows data from a scene (e.g., scene of a mountain road) that is not specific image data (e.g., data that is not requested, (E.g., at a time when fewer users are using the system when more bandwidth is available, e.g., data that has been captured by the remote server and not transmitted to the remote server) Lt; RTI ID = 0.0 > 810 < / RTI >

Referring again to FIG. 13B, operation 1310 may include an operation 1312 of retrieving data from a scene where the bandwidth is not specific image data at a time available for the image sensor array. For example, FIG. 8, e.g., FIG. 8B, shows that at a time when bandwidth is available to the image sensor array (e.g., the image sensor array does not utilize all of its allocated bandwidth to handle a request for a portion of a scene, (E. G., Unrequested data) from a scene that is not specific image data (e. G., Unsolicited data) from a scene that is not specific image data And a module 812 for retrieving data at the time of available bandwidth.

Referring again to FIG. 13B, operation 1310 may include an operation 1314 of retrieving data from a scene that is not specific image data at a time representing an off peak usage for the image sensor array. For example, FIG. 8, e.g., FIG. 8B, illustrates the off peak usage for an image sensor array (e.g., when the image sensor array captures a city distance, the off peak usage is night; Off-peak usage is low during off-peak hours when the security camera is a security camera, or the off-peak time can be flexible based on previous time-of-day analysis, It may also mean any time with available bandwidth for transmitting searchable data rather than using all the bandwidth and not the specific image data requested). Data from the scene that is not specific image data (un-requested data) In the off-peak usage time of the image sensor array, Lt; RTI ID = 0.0 > 814 < / RTI >

Referring again to FIG. 13B, operation 1310 may include an operation 1316 to retrieve data from a scene that is not specific image data at a time when certain image data was not requested. For example, FIG. 8, e.g., FIG. 8B, illustrates a method of retrieving data from a scene that is not specific image data when specific image data is not requested, from a scene that is not specific image data when a particular image data request is not present in the image sensor array And a module 816 for retrieving data.

Referring again to FIG. 13B, operation 1310 includes an operation 1318 of retrieving data from a scene that is not specific image data when a smaller number of users request specific image data than the image sensor array has capacity can do. For example, FIG. 8, e.g., FIG. 8B, illustrates an available image sensor array capability, in which the image sensor array retrieves data from a scene that is not specific image data when fewer users request specific image data than have the capacity. A module 818 that retrieves data from a scene that is not specific image data at the time of the current time.

13C, operation 1006 may include operation 1320 of receiving only specific image data, including audio data, from the sensor array. For example, FIG. 8, FIG. 8C shows only sensor data (for example, image data from a water supply hole), specific image data including audio data (e.g., , The image sensor array may comprise one or more microphones or other sound collection devices separated from the image capture sensor or connected to the image capture sensor), a module for exclusively receiving specific image data, including audio data, from the sensor array 820 < / RTI >

Referring again to FIG. 13C, operation 1006 may include an operation 1322 of receiving from the image sensor array only specific image data determined to contain a particular requested image object. For example, FIG. 8, e.g., FIG. 8C, shows a specific example of an image sensor that receives only certain image data from an image sensor array that is determined to contain a particular requested image object (e.g., a particular football player from a football game) And module 822 exclusively receiving specific image data determined to contain the requested image object from the image sensor array.

Referring again to FIG. 13C, operation 1322 may include operation 1324 of receiving only specific image data by the image sensor array determined to contain a particular requested image object. For example, FIG. 8, e.g., FIG. 8C, shows that only certain image data determined to contain a particular requested image object (e.g., a lion in a water hole) is received by the image sensor array The sensor array performs pattern recognition and identifies specific image data. The particular image data is identified as "only the image data containing the lion ", and only that specific image data is transmitted and received by the server accordingly) Lt; RTI ID = 0.0 > 824 < / RTI > exclusively receiving specific image data determined by the image sensor array to contain the requested image object of the image sensor array.

Figures 14A-14E illustrate various implementations of operation 1008 for transmitting received specific image data to at least one requestor, in accordance with an embodiment. Referring now to FIG. 14A, operation 1008 may include operation 1402 of transmitting received specific image data to a user device. For example, FIG. 9, e.g., FIG. 9A, illustrates a method for transmitting received specific image data (e.g., an image of a quarterback in a National Football League game) to a user device (e.g., And module 902 for sending specific image data to at least one user device requester.

Referring again to FIG. 14A, operation 1402 may include operation 1404 of transmitting at least a portion of the received specific image data to a user device requesting specific image data. For example, FIG. 9, e.g., FIG. 9A, illustrates at least some of the received specific image data (e.g., a portion corresponding to a request for a particular segment of a scene that shows a lion in a particular request, e.g., To a user device (e.g., a computer device having a CPU and a monitor) that has requested specific image data (e.g., the computer device has requested a portion of the scene in which the lion is viewed) And module 904 for transmitting specific image data received to at least one user device requestor that has requested at least a portion thereof.

Referring again to FIG. 14A, operation 1008 may include operation 1406 of separating the received specific image data into a set of one or more requested images. For example, FIG. 9, e.g., FIG. 9A, separates received specific image data into one or more sets of requested images (e.g., if there are five requests for a portion of scene data and some of the requests overlap The image data may be duplicated and packaged so that each requesting device receives the requested pixels), and module 906 separating the received specific data into a set of one or more requested images.

Referring again to FIG. 14A, operation 1008 may include an operation 1408 (operation 1406) in which at least one image in the set of one or more requested images is sent to the specific requestor requesting the at least one image ). For example, FIG. 9, e.g., FIG. 9A, illustrates an example of a methodology in which at least one image of a set of one or more requested images is sent to a particular requestor (e.g., To a person who operates a "virtual camera" to "see" a scene through a lens of the camera, even if temporarily separated) And module 908 for sending to a specific requestor.

Referring again to FIG. 14A, operation 1406 may include operation 1410 of separating the received specific image data into a first requested image and a second requested image. For example, FIG. 9, e.g., FIG. 9A, illustrates a method for converting received specific image data (e.g., image data from a jungle oasis) into a first requested image (e.g., And separating the received specific data into a first requested image and a second requested image, separated by an image (e.g., an image of a hippopotamus).

Referring again to FIG. 14A, operation 1008 may include operation 1412 of transmitting the received specific image data to the requesting user device, which image is part of the received specific image data. For example, FIG. 9, e.g., FIG. 9A, illustrates a method for transmitting received specific image data to a requesting user device that transmits an image that is part of the received specific image data, Lt; RTI ID = 0.0 > 912 < / RTI >

Referring now to FIG. 14B, operation 1008 may include operation 1414 of transmitting a first portion of the received specific image data to a first requestor. For example, FIG. 9, FIG. 9B shows a first portion of the received specific image data (e.g., image data from an oasis containing a zebra) (e.g., a portion of an animal oasis containing a zebra) A module for sending a first portion of the received specific image data to a first requestor, which transmits the first portion of the received specific image data to a first requester (e.g., a device requesting video feed, e.g., a television device, which is part of an oasis containing the zebra) 914).

Referring again to FIG. 14B, operation 1008 may include operation 1416 (which may occur with operation 1414) of transmitting a second portion of the received specific image data to a second requestor. For example, FIG. 9, FIG. 9B shows a second portion of the received specific image data (e.g., image data from the oasis) (e.g., a portion of the oasis containing the bird) For example, a requesting device (e.g., a tablet device) that is part of an oasis containing a bird, to a second requestor, a second portion of the received specific image data .

Referring again to FIG. 14B, operation 1414 may include an operation 1418 of transmitting a first portion of the received specific image data to a first requestor requesting the first portion of the received specific image data. For example, FIG. 9, e.g., FIG. 9B, illustrates a process for requesting the first portion of the received specific image data (e.g., the portion containing the specific landmark in the virtual tour setup) And a module 918 for sending a first portion of the received specific image data to a first requestor, requesting the first portion.

Referring again to FIG. 14B, operation 1418 may include an operation 1420 of sending an image containing a particular football player to the requesting television apparatus, configured to display a football game and containing an image of a particular football player . For example, FIG. 9, e.g., FIG. 9B, illustrates an embodiment of a game player that is configured to display a football game with an image containing a particular football player and transmits the image containing the particular football player to the requesting television device, And a module 920 for sending a portion of the image data from the football game to the requesting television player.

Referring again to FIG. 14B, operation 1416 may include transmitting 1422 a second portion of the received specific image data to a second requestor requesting the second portion of the received particular image data. For example, FIG. 9, FIG. 9B illustrates an example of a process for sending the second portion of the received specific image data (e.g., a portion of the received specific image data including a lion) A module 922 for sending a second portion of the received specific image data to a second requester requesting the second portion to send to the requester (e. G., A person observing the feed on his or her television) Respectively.

Referring again to FIG. 14B, operation 1422 may include transmitting 1424 an image containing a view of the car to the tablet device requesting a Street View image of a particular corner of the city. For example, FIG. 9, e.g., FIG. 9B, shows an image containing a view of a car (e.g., a Honda Accord) to a tablet device requesting a Street View image of a particular corner of a city (e.g., To a second requestor that is a tablet device requesting a view of the car, including a view of the car.

Referring again to FIG. 14B, operation 1008 may include transmitting 1426 at least a portion of the received specific image data to the at least one requestor without modification. For example, FIG. 9, e.g., FIG. 9B, illustrates a specific image data received (e.g., without altering the manner in which the image appears in the human eye, for example, At least one particular image data received without modification (e.g., an image of the animal in the oasis) transmitted to at least one requester (e.g., an image requesting device, e.g., a mobile device) Lt; / RTI > to module 926, which sends the request to the requester.

Referring now to FIG. 14C, operation 1008 may include operation 1428 of adding supplemental data to at least a portion of the particular image data received to generate the transmitted image data. For example, FIG. 9, e.g., FIG. 9C, illustrates a method for obtaining specific image data (e. G., From an animal feed hole) to generate transmitted image data (e. G., Image data to be sent to a requestor, (E.g., contextual data, or advertising data, or processing assistance data, or images that are visible in the image or embedded in the image, or otherwise associated with the image in other ways) (E.g., data relating to how to cache or cache data), to facilitate the addition of supplemental data to at least a portion of the particular image data received to generate the transmitted image data.

Referring again to FIG. 14C, operation 1008 may include operation 1430 (which may occur with operation 1428) of transmitting generated transmission image data to at least one requestor. For example, FIG. 9, FIG. 9C illustrates a flow chart of a method of generating a plurality of image data (e.g., image data of a football player in a football game in which statistical data of a football player is overlaid on the image) (E.g., a person viewing a game on his / her mobile tablet device), and transmits the generated transmitted image data to at least one requester.

Referring again to FIG. 14C, operation 1428 may include an operation 1432 of adding advertisement data to at least a portion of the particular image data received to generate the transmitted image data. For example, FIG. 9, e.g., FIG. 9C, depicts an example of a scenario in which advertising data (e. G., ≪ , Advertisement data for purchasing a ticket of the next soccer game, and advertisement data for purchasing a soccer uniform of a photographed player), at least a part of the specific image data received for generating the transmission image data, And a module 932 that facilitates the addition.

Referring again to FIG. 14C, operation 1432 may include an operation 1434 of adding context-based advertisement data based, at least in part, to the received particular image data to at least a portion of the received specific image data. For example, FIG. 9, FIG. 9C illustrates context based advertisement data based at least in part on received specific image data (e.g., visual image data from a giant pyramid) (e.g., Based advertising data to at least a portion of the particular image data received for generating the transfer image data, wherein the advertising image data includes at least a portion of the specific image data received, such as a giant pyramid, Lt; RTI ID = 0.0 > 934 < / RTI >

Referring again to FIG. 14C, operation 1434 includes an operation 1436 of adding animal rights contribution advertisement data based at least in part on the received specific image data of the tiger in the jungle oasis to the specific image data of the tiger received in the jungle oasis, . ≪ / RTI > For example, FIG. 9, e.g., FIG. 9C, illustrates an example of adding animal rights donation advertising data based at least in part on received specific image data of a tiger in a jungle oasis to transmitted specific image data of a tiger in a jungle oasis, Illustrates a module 936 that facilitates adding animal rights contribution advertisement data to at least a portion of received specific image data, including jungle tigers, in an oasis to occur.

Referring again to FIG. 14C, operation 1428 may include an operation 1438 of adding associated visual data relating to the particular image data received to at least a portion of the particular image data received to generate the transmitted image data . For example, FIG. 9, e.g., FIG. 9C, illustrates a method for generating specific image data (e. G., An animal < / RTI > (E.g., the name of the animal being viewed, or the production and model year of the car being viewed, or, if the product is viewed in a frame, the website that currently has the lowest-priced product And the module 938, which facilitates the addition of related visual data to at least a portion of the particular image data received to generate the transmitted image data.

Referring again to FIG. 14C, operation 1438 includes an operation 1440 of adding fancy football statistics data to the received specific image data of a football quarterback appearing in the received specific image data of the quarterback in the football game to generate transmitted image data ). For example, FIG. 9, e.g., FIG. 9C, depicts the reception of a quarter of a football quarter that appears in the received specific image data of a quarterback in a football game to generate transfer image data (e.g., image data to be transmitted to a requesting device, (E.g., full pass, receptions, earned rush yards, earned winning yards, total points scored, player names, etc.) to specific image data that has been generated The module 940 facilitating the addition of relevant fancy football statistics data to at least a portion of the received specific image data of the quarterback data.

Referring now to FIG. 14D, operation 1008 may include operation 1442 of modifying data of a portion of the particular image data received to generate transmit image data. For example, FIG. 9, e.g., FIG. 9D, may be used to send specific image data received (e.g., from a camera array) to generate transmitted image data (e.g., data to be transmitted to a device requesting the data, (E.g., adding, subtracting, or changing the characteristic data of alpha data, color data, or saturation data in the individual bytes or in the entire image, for example) Lt; / RTI > illustrates a module 942 that facilitates modification of a portion of a particular image data received for a particular purpose.

Referring again to FIG. 14D, operation 1008 may include operation 1444 of transmitting the generated transmission image data to at least one requestor. For example, FIG. 9, e.g., FIG. 9D, illustrates a method for transmitting generated transmission image data (e.g., image data generated by a server device for transmission to a requesting device) to at least one requestor (E.g., a family laptop computer in a home running a virtual tourism program on a web page), to the at least one requester.

Referring again to FIG. 14D, operation 1442 may include operation 1446 of performing an image manipulation modification of the particular image data received to generate the transmitted image data. For example, FIG. 9, e.g., FIG. 9D, may be used to provide specific image data (e. G., High tall buildings < / RTI & (E.g., editing a feature of the captured image) of the image of the specific image data received in order to generate the transmitted image data, Gt; 946 < / RTI >

Referring again to FIG. 14D, operation 1446 may include operation 1448 to perform contrast matching of the received specific image data to generate transmitted image data. For example, FIG. 9, e.g., FIG. 9D, illustrates a specific image data (e. G., A high tall building < / RTI > And a contrast enhancement correction of a portion of the particular image data received to generate the transmitted image data, which performs contrast harmonization of the shadowed areas (e.g.

Referring again to FIG. 14D, operation 1446 may include operation 1450 of performing color correction harmonization of the specific image data received to generate the transmitted image data. For example, FIG. 9, e.g., FIG. 9D, is a view of a particular image data (e.g., an image of a lion in an animal feed hole) received to generate transmit image data (e.g., image data to be transmitted to the device) A module 950 that facilitates color correction harmonization of a portion of specific image data received to generate transmit image data, which performs color correction harmonization.

Referring again to FIG. 14D, operation 1442 may include operation 1452 of calibrating at least a portion of the particular image data received to generate the transmitted image data. For example, FIG. 9, e.g., FIG. 9D, may be used to calibrate (at least in part) certain image data received to generate transfer image data (e.g., image data to be transferred to the device, To obscure any features of the data associated with the tank, including removing, smoothing, blurring, performing any sort of image manipulation operation, or removing or overwriting data associated with the tank, such as, but not limited to, Lt; / RTI > is a module 952 that facilitates the calibration of a portion of a particular image data received to generate transmit image data (e.g., any other designed operation).

Referring again to FIG. 14D, operation 1452 may include operation 1454 of calibrating at least a portion of the received specific image data based on the requestor's security grant level. For example, FIG. 9, e.g., FIG. 9D, may be used to indicate that the requestor's security permission level (e.g., the device requesting the image may have a security permission based on what the device is allowed to see, (E.g., a face of a person, or a license plate of a car) received based on the license plate number (e.g., the license plate and the face of a person can be calibrated) Any other operation designed to obfuscate any feature of the data associated with the tank, including performing any sort of smoothing, blurring, image manipulation operations, or otherwise removing or overwriting data associated with the tank in its entirety) A portion of the received specific image data to generate transmitted image data based on the requestor ' s security permission level It shows a module 954 to facilitate the calibration.

Referring again to FIG. 14D, operation 1454 includes an operation 1456 of calibrating the tanks from the received specific image data, including the satellite image including the military base, based on the insufficient security clearance level of the device requesting the specific image data. . ≪ / RTI > For example, FIG. 9, FIG. 9D may be based on an insufficient security permission level of the requesting device (e.g., some data indicate that the device does not have sufficient security level to approve the tank view) (E.g., remove, smoothen, blur, etc.) the tanks from specific image data received, including satellite images including military bases (e.g., the image sensor array in which the image is captured is at least partially installed on the satellite) Ring, any sort of image manipulation operation, or any other action designed to obfuscate any feature of the data associated with the tank, including, but not limited to, totally removing or overwriting data associated with the tank, The received upper level, including the tank, for generating transmitted image data based on the security permission level It shows a module 956 to facilitate the correction of a part of the image data.

Referring now to FIG. 14E, operation 1008 may include operation 1458 of transmitting a low-resolution version of the received specific image data to at least one requestor. For example, FIG. 9, e.g., FIG. 9E, shows a low resolution version of the received specific image data (e.g., an image of a baseball player in a baseball game) A module 958 for sending a low-resolution version of the received specific image data to at least one requestor, which sends the at least one requestor (e.g., the image data version with lower resolution) to at least one requester .

Referring again to FIG. 14E, operation 1008 may include an operation 1460 (which may occur with operation 1458) of transmitting an alternate version of the particular image data received to at least one requester. For example, FIG. 9, e. G., FIG. 9E, illustrates an example of a method for transmitting an orthographic version of a received particular image data (e. G., An image of an animal in an animal oasis) And a module 960 for transmitting an alternate version of the received specific image data to at least one requestor.

All of the foregoing US patents, US patent application publications, US patent applications, foreign patents, foreign patent applications and non-patent publications cited in this specification and / or listed in any application datasheet are quoted to the extent not inconsistent with the present invention Lt; / RTI >

The foregoing detailed description describes various embodiments of devices and / or processes using block diagrams, flow diagrams, and / or examples. As long as such block diagrams, flowcharts and / or examples include one or more functions and / or actions, those skilled in the art will recognize that each function and / or operation in such block diagrams, flowcharts, 101 may be implemented individually and / or collectively by a wide range of hardware, software (e.g., a high-level computer program that serves as a hardware specification), firmware, or substantially any combination thereof, I will understand. In one embodiment, portions of the subject matter described herein may be implemented through application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), digital signal processors (DSPs), or other integrated formats. However, those skilled in the art will appreciate that some aspects of the embodiments disclosed herein, in whole or in part, As one or more computer programs (e.g., as one or more programs running on one or more computer systems) running on one or more computers, limited to a patentable subject under 101, as one or more programs running on one or more processors (E.g., as one or more programs running on one or more microprocessors), firmware, or substantially any combination thereof, and may be implemented in circuitry and / or software , Higher level computer programs that serve as hardware specifications) and / or firmware are within the skill of the art in view of the description herein. It will also be appreciated by those skilled in the art that the mechanism of the subject matter described herein may be distributed as a program product in various forms and that the exemplary embodiments of the subject matter described herein may be practiced without regard to any particular type of signal- It will be understood that the invention is not limited thereto. Examples of signal-bearing media include, but are not limited to, recordable media such as floppy disks, hard disk drives, compact discs (CDs), digital video discs (DVDs), digital tapes, computer memory, And transmissive media such as digital and / or analog communication media (e.g., fiber optic cables, waveguides, wired communication links, wireless communication links (e.g., transmitters, receivers, transmit logic, receive logic, etc.) .

Although specific embodiments of the subject matter described herein have been illustrated and described, it will be apparent to those skilled in the art that changes and modifications may be made, without departing from the subject matter and the broader aspects set forth herein, based on the teachings herein, It is intended that the appended claims be construed as including all such variations and modifications as fall within the true spirit and scope of the subject matter described herein. It will be understood by those of ordinary skill in the art that the terms used herein, particularly in the appended claims (e.g., the text of the claims), are generally intended to be "open" Including, but not limited to, "and the term" having "should be interpreted as" having at least ", and the term" comprising "should be interpreted as" including but not limited to ").

It will also be appreciated by those skilled in the art that if a specific number of the recited claims is intended, such intent is explicitly recited in the claims, and that such quotation is not intended without such recitation. For example, for ease of understanding, the appended claims can use the phrases "at least one" and "more than one" It should be understood, however, that the use of such phrases is not intended to limit the scope of the present invention to the broader context of the present invention, including the use of the phrase "a" or "an" Quot; a "and / or" an "are to be interpreted to mean" at least one "or" And should not be construed to limit the scope of any particular claim contained within the scope of the appended claims to just one such citation; This is the same when using the definite article to introduce a claim citation. It will also be appreciated by those skilled in the art that, although a number of incorporated claims is explicitly cited, it should be understood that such a citation is typically to be construed as a reference to at least a quoted number (e.g., Quot; two quotes "means typically at least two citations or two or more citations).

Further, when a protocol similar to "at least one of A, B and C, etc." is used, this configuration is generally intended to be understood by those skilled in the art to understand the protocol (eg, "A, B and C A and B together, A and C together, B and C together, and / or A, B, and C together, Together). In the case where a protocol similar to "at least one of A, B or C, etc." is used, this configuration is generally intended to be understood by those skilled in the art to understand the protocol (e.g., A and B together, A and C together, B and C together, and / or A and B together with C, etc. . It will be understood by those skilled in the art that a separator and / or separator that presents two or more alternative terms in the specification, claims or drawings is typically understood to mean one of the terms, either one of the terms, As will be understood by those skilled in the art. For example, phrase "A or B" will typically be understood to include the possibility of "A" or "B" or "A and B".

In the context of the appended claims, those skilled in the art will understand that the operations recited in the claims may generally be performed in any order. Further, although various operation flows are presented in a predetermined order, various operations may be performed in a different order from that illustrated, or may be performed at the same time. Examples of such alternative orders may include redundancy, intervention, interruption, reimbursement, incremental, preliminary, supplemental, simulation, reversal, or other altered order, unless the context otherwise requires. Furthermore, terms such as "to answer", "to", or other past tense adjectives are generally not intended to exclude such variants unless otherwise stated in context.

This application may refer to one or more trademarks, such as words, letters, symbols or devices, employed by one manufacturer or trader and used to identify and / or distinguish their products from others. Trademark names used here are intended to be used to clarify their identities, to distinguish brand names from common technical nouns, to be described in such language having a fixed and constant meaning, or in many, but not all, Lt; RTI ID = 0.0 > a < / RTI > Also, the trade names used herein do not refer to products or compounds that are known or defined in the literature, or where knowledge of one or more trade secrets is required to discern its meaning. All trademarks referenced in this application are the property of their respective trademark owners and the appearance of one or more trademarks in this application does not adversely affect the effectiveness of, or otherwise adversely affect, one or more of the trademarks. All registered or unregistered trademarks appearing in this application include any appropriate trademark symbol, for example, an R in the circle or an upper case letter enclosed in square brackets (e.g., [trademark]), Even if it is not. To the extent that a trademark is used in an illustrative manner to express a product or process, the trademark shall be interpreted as indicating the corresponding product or process from the filing date of the patent application.

Throughout this application, the terms "in an embodiment," "in an embodiment," "in some embodiments," "in at least one embodiment," and "in various embodiments" Can be used. Each such term and all similar terminology should be interpreted as "at least in one embodiment not necessarily in all embodiments, " unless expressly stated otherwise. In particular, unless expressly stated otherwise, such intent is intended to provide a non-exclusive, non-limiting example of an implementation of the invention. A single, some, or any embodiment, includes one or more objects, or a single description with one or more features does not imply that all embodiments include more than one object or have more than one feature, It does not mean that This is a simple indicator of the embodiment unless explicitly stated otherwise and should not be interpreted otherwise.

Various aspects of the subject matter described herein are illustrated in the following numbered section.

1. A computer-implemented method,

Obtaining a request for specific image data that is part of a scene;

Sending a request for the particular image data to an image sensor array comprising two or more image sensors and configured to capture a scene larger than the specific image data requested;

Receiving only the specific image data from the image sensor array;

And transmitting the received specific image data to at least one requester.

2. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And obtaining a request for specific image data of a scene including one or more images.

3. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And receiving a request for specific image data of the scene.

4. The method of claim 3, wherein the step of receiving a request for specific image data of the scene comprises:

And receiving a request for specific image data of a scene from a user device.

5. The method of claim 4, wherein receiving a request for specific image data of a scene from the user device comprises:

And receiving a request for specific image data of a scene from a user device configured to display at least a portion of the scene.

6. The method of clause 5, wherein receiving a request for specific image data of a scene from a user device configured to display at least a portion of the scene comprises:

And receiving a request for specific image data of a scene from a user device configured to display at least a portion of the scene in a viewfinder.

7. The method of claim 4, wherein receiving a request for specific image data of a scene from the user device comprises:

And receiving a request for specific image data of a scene from a user device configured to receive a selection of a particular image.

8. The method of clause 7, wherein receiving a request for specific image data of a scene from a user device configured to receive a selection of the particular image comprises:

And receiving a request for specific image data of a scene from a user device configured to receive the selection of the particular image, wherein the selection is based on a view of the scene.

9. The method of claim 7, wherein receiving a request for specific image data of a scene from a user device configured to receive a selection of the particular image comprises:

Receiving a request for specific image data of a scene from a user receiving a request for specific image data of a scene from a user device configured to receive a selection of the particular image, A computer screen, a tablet, a camera, a consumer electronics device, and an augmented reality device.

10. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

The method comprising: obtaining a request for specific image data of a scene, wherein the scene is image data collected by an array of two or more image sensors.

11. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And obtaining a request for specific image data of a scene, wherein the scene is an image of image data collected by an array of two or more image sensors.

12. The method of claim 11, wherein obtaining a request for specific image data of a scene that is a representation of image data collected by the array of two or more image sensors comprises:

And obtaining a request for specific image data of the scene, wherein the scene is sampled by the array of two or more image sensors.

13. The method of claim 11, wherein obtaining a request for specific image data of a scene that is a representation of image data collected by the array of two or more image sensors comprises:

And obtaining a request for specific image data of a scene, wherein the scene is implemented as a computer that is a subset of image data collected by an array of two or more image sensors.

14. The method of claim 11, wherein obtaining a request for specific image data of a scene that is an indication of image data collected by the array of two or more image sensors comprises:

And obtaining a request for specific image data of the scene, wherein the scene is a low-resolution version of the image data collected by the array of two or more image sensors.

15. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And obtaining a request for specific image data of a scene being a football game.

16. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And obtaining a request for specific image data of a scene that is a distance view of a region.

17. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And obtaining a request for specific image data of a scenery that is a tourist spot.

18. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And obtaining a request for specific image data of a scene that is internal to the house.

19. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And obtaining a request for specific image data of a scene, wherein the particular image data is implemented as a computer that is an image of a portion of a scene.

20. The method of claim 19, wherein obtaining a request for specific image data of the scene, wherein the particular image data is an image of a portion of the scene,

And obtaining a request for specific image data of a scene, wherein the particular image data comprises image data of a particular football player and the scene is a football field.

21. The method of claim 19, wherein obtaining a request for specific image data of the scene, wherein the particular image data is an image of a portion of the scene,

And obtaining a request for specific image data of a scene, wherein the specific image data comprises image data of a license plate and the scene is an image representation of a highway bridge.

22. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

Obtaining a request for a particular image object located in the scene;

Determining specific image data of a scene containing the particular image object.

23. The method of claim 22, wherein obtaining a request for a particular image object located in the scene comprises:

And obtaining a request for a particular person located in the scene.

24. The method of claim 22, wherein obtaining a request for a particular image object located within the scene comprises:

And obtaining a request for a basketball located within the scene being a basketball court.

25. The method of claim 22, wherein obtaining a request for a particular image object located within the scene comprises:

And obtaining a request for a vehicle located within the scene.

26. The method of claim 22, wherein obtaining a request for a particular image object located within the scene comprises:

And obtaining a request for any human object representation located within the scene.

27. The method of claim 22, wherein the step of determining specific image data of a scene containing the particular image object comprises:

And applying automatic pattern recognition to the scene image data to determine specific image data of the scene containing the particular image object.

28. The method of claim 22, wherein the step of determining specific image data of a scene containing the particular image object comprises:

Determining specific image data of a scene containing the particular image object by identifying a particular image object in previous scene data that is image data of the scene from at least one previous point in time.

29. The method of claim 22, wherein the step of determining specific image data of a scene containing the particular image object comprises:

And determining specific image data of the scene containing the particular image object by identifying a particular image object in the cached scene data.

30. The method of claim 29, wherein the step of determining specific image data of a scene containing the particular image object by identifying a particular image object in the cached scene data comprises:

Comprising determining a particular image data of a scene containing the particular image object by identifying a particular image object in cached scene data previously transmitted from an image sensor array comprising two or more image sensors .

31. The method of claim 29, wherein the step of determining specific image data of a scene containing the particular image object by identifying a particular image object in the cached scene data comprises:

Identifying a particular image object in cached scene data previously transmitted from an image sensor array comprising two or more image sensors when the bandwidth is available for connection to an image sensor array comprising two or more image sensors, And determining specific image data of the scene to be processed.

32. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

Receiving a first request for a first specific image data from a scene from a first requester;

And receiving a second request for a second specific image data from a scene from a second requester different from the first requester.

33. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And combining the received first request for the first specific image data from the scene with the received second request for the second specific image data from the scene.

[0133] [019] 34. The method of embodiment 33, wherein combining the received first request for the first specific image data from the scene and the received second request for the second specific image data from the scene,

As a request for specific image data incorporating requested image data that overlaps the received first request for the first specific image data from the scene and the received second request for the second specific image data from the scene ≪ / RTI >

35. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

Receiving a first request for first specific image data from the scene and a second request for second specific image data from the scene;

And combining the received first request and the received second request into a request for specific image data.

36. The method of claim 35, wherein combining the received first request and the received second request into a request for specific image data comprises:

And removing common pixel data between the received first request and the received second request.

37. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And obtaining a request for specific image data that is part of the scene, wherein the specific image data is video data.

38. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And obtaining a request for specific image data that is part of the scene, wherein the particular image data is audio data.

39. The method of claim 1, wherein obtaining a request for specific image data that is part of the scene comprises:

And obtaining a request for specific image data that is part of the scene from a user device that receives a request for specific image data via an audio interface.

40. The method of claim 39 wherein obtaining a request for specific image data that is part of the scene from a user device receiving a request for specific image data via an audio interface comprises:

And obtaining a request for specific image data that is part of the scene from a user device having a microphone receiving a spoken request for specific image data from the user.

41. The method of clause 1, wherein transmitting a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the requested specific image data,

And sending a request for the particular image data of the scene to an image sensor array that includes two or more image sensors and is configured to capture an image larger than the requested image data.

42. The method of clause 1, wherein transmitting a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the requested specific image data,

And sending a request for the particular image data of the scene to an image sensor array that is arranged to be arranged side by side and includes two image sensors angled towards each other and configured to capture an image larger than the requested image data A computer implemented method.

43. The method of claim 1, wherein the step of sending a request for the particular image data to an image sensor array comprising two or more image sensors and configured to capture a scene larger than the specific image data requested,

And sending a request for the particular image data of the scene to an image sensor array that includes an array of image sensors arranged in a grid and configured to capture an image larger than the requested image data.

44. The method of clause 1, wherein sending a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

Including the step of sending a request for the particular image data of a scene to an image sensor array that includes an array of image sensors arranged in a row so that the field of view is greater than 120 degrees and configured to capture an image larger than the requested image data Lt; / RTI >

45. The method of clause 1, wherein transmitting a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

And sending a request for the particular image data of the scene to an image sensor array that is configured to capture a larger image than the requested image data, including a grouping of non-linear and non-sequentially arranged fixed image sensors How it is implemented.

46. The method of clause 1, wherein transmitting a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

And sending a request for the particular image data of the scene to an image sensor array that includes an array of static image sensors and is configured to capture an image larger than the requested image data.

47. The method of clause 46 wherein said step of sending a request for said particular image data of a scene to an image sensor array comprising an array of static image sensors and configured to capture an image larger than the requested image data,

And sending a request for the particular image data of the scene to an image sensor array that includes an array of image sensors having a fixed focal length and a fixed field of view and configured to capture an image larger than the requested image data. How it is implemented.

48. The method of clause 1, wherein transmitting a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

And sending a request for the particular image data of the scene to an image sensor array that includes an array of image sensors installed in the movable platform and configured to capture a scene larger than the requested image data.

49. The method of clause 1, wherein sending a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

And sending a request for the particular image data of the scene to an image sensor array that is configured to capture a scene containing more than one image sensor and displaying more image data than the specific image data requested. How to do it.

50. The method of any of the claims 49 to 49, further comprising transmitting the request for the particular image data of the scene to an image sensor array that includes the at least two image sensors and is configured to capture a scene displaying more image data than the requested specific image data Wherein the step

And sending a request for the particular image data of the scene to an image sensor array that is configured to capture a scene that includes at least two image sensors and displays at least ten times as many image data as the specific image data requested A computer implemented method.

51. The method of claim 49, further comprising transmitting the request for the particular image data of the scene to an image sensor array configured to capture a scene including the at least two image sensors and displaying more image data than the requested specific image data Wherein the step

And sending a request for the particular image data of the scene to an image sensor array that is configured to capture a scene that includes two or more image sensors and displays at least 100 times as many image data as the requested specific image data A computer implemented method.

52. The method of clause 1, wherein transmitting a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

And sending a request for the particular image data to an image sensor array configured to capture a scene displaying a larger field of view than the specific image data requested.

53. The method of clause 1, wherein transmitting a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

Modifying a request for the particular image data;

And sending a modified request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the requested specific image data.

54. The method of claim 53, wherein modifying the request for the particular image data comprises:

And removing designated image data from a request for the particular image data.

55. The method of claim 54, wherein removing the specified image data from the request for the particular image data comprises:

And removing the specified image data from the request for the particular image data based on the pre-stored image data.

56. The method of claim 55, wherein removing the specified image data from the request for the particular image data based on the pre-

And removing designated image data from a request for the particular image data based on pre-stored image data retrieved from the image sensor array.

57. The method of claim 55, wherein removing the specified image data from the request for the particular image data based on the pre-

And removing designated image data from a request for the particular image data based on the pre-stored image data that is an early version of the designated image data.

58. The method of claim 57, wherein removing the specified image data from the request for the particular image data based on the pre-stored image data, which is an early version of the designated image data,

And removing image data of one or more static objects from a request for specific image data that is a view of the distance based on the pre-stored image data of the one or more static objects from the early version captured by the image sensor array. .

59. The method of clause 58 wherein removal of image data of one or more static objects from a request for specific image data that is a view of the distance is based on previously stored image data of one or more static objects from an early version captured by the image sensor array Said step of:

From a request for specific image data of one or more static objects from a request for specific image data that is a view of the distance, based on previously stored image data of one or more static objects from an early version captured by the image sensor array And removing the image data.

60. The method of claim 53, wherein modifying the request for the particular image data comprises:

And removing a portion of the request for the particular image data through pixel interpolation or extrapolation of a portion of the request for the particular image data.

61. The method of claim 60, wherein removing the portion of the request for the particular image data through pixel interpolation or extrapolation of a portion of the request for the particular image data comprises:

And removing one or more static objects from the request for the particular image data through pixel interpolation of a portion of the request for the particular image data.

62. The method of claim 53, wherein modifying the request for the particular image data comprises:

Identifying at least a portion of the request for the particular image data already stored in the memory;

And removing an identified portion of the request for the particular image data.

63. The method of claim 62, wherein identifying at least a portion of a request for the particular image data already stored in the memory comprises:

And identifying at least a portion of a request for the particular image data pre-captured by the image sensor array.

64. The method of claim 62, wherein identifying at least a portion of a request for the particular image data already stored in the memory comprises:

And identifying one or more static objects of the request for the particular image data pre-captured by the image sensor array.

65. The method of clause 64, wherein identifying at least one static object of a request for the particular image data pre-captured by the image sensor array comprises:

And identifying one or more natural rock stamps of the request for the particular image data pre-captured by the image sensor array.

66. The method of clause 1, wherein transmitting a request for the particular image data to an image sensor array that includes the at least two image sensors and is configured to capture a scene larger than the requested specific image data,

Determining a size of a request for the particular image data;

And sending a request for the particular image data to the image sensor array configured to capture the scene.

67. The method of claim 66, wherein determining the magnitude of the request for the particular image data comprises:

And determining the size of the request for the particular image data based at least in part on attributes of the user device requesting at least a portion of the particular image data.

68. The method of claim 67, wherein determining the magnitude of the request for the particular image data based at least in part on an attribute of the user device requesting at least a portion of the particular image data comprises:

And determining the size of the request for the particular image data based at least in part on the resolution of the user device that requested the particular image data.

69. The method of claim 66, wherein determining the magnitude of the request for the particular image data comprises:

And determining the size of the request for the particular image data based at least in part on the device access level of the user device that requested the at least a portion of the particular image data.

70. The method of claim 66, wherein determining the magnitude of the request for the particular image data comprises:

And determining the size of the request for the particular image data based at least in part on the amount of available bandwidth for communicating with the image sensor array.

71. The method of claim 66, wherein determining the magnitude of the request for the particular image data comprises:

And determining the size of the request for the particular image data based at least in part on the amount of time that the requesting user device requested the image data for at least a portion of the particular image data.

72. The method of claim 66, wherein determining the magnitude of the request for the particular image data comprises:

And determining the size of the request for the particular image data based at least in part on the amount of available bandwidth for communicating with the requesting user device at least a portion of the particular image data.

73. The method of clause 1, wherein receiving only the specific image data from the image sensor array comprises:

And receiving only the specific image data from the image sensor array, wherein the data from the scene other than the specific image data is discarded.

74. The method of clause 1, wherein receiving only the specific image data from the image sensor array comprises:

And receiving only the specific image data from the image sensor array, wherein data from a scene other than the specific image data is stored in the image sensor array.

75. The method of clause 1, wherein receiving only the specific image data from the image sensor array comprises:

And receiving the specific image data from the image sensor array in near real time.

76. The method of clause 1, wherein receiving only the specific image data from the image sensor array comprises:

Receiving the specific image data from the image sensor array in near real time;

And later retrieving data from the scene that is not the particular image data.

77. The method of claim 76, wherein the step of retrieving data from a scene other than the particular image data,

And retrieving data from a scene that is not the particular image data when bandwidth is available to the image sensor array.

78. The method of claim 76, wherein the step of retrieving data from a scene other than the specific image data,

And retrieving data from a scene that is not the specific image data when displaying off peak usage of the image sensor array.

79. The method of claim 76, wherein the step of retrieving data from a scene other than the specific image data,

And retrieving data from a scene other than the specific image data when the particular image data is not requested.

80. The method of claim 76, wherein the step of retrieving data from a scene other than the specific image data,

And retrieving data from a scene that is not the specific image data when a lesser number of users request specific image data than the image sensor array has capacity.

81. The method of embodiment 1, wherein receiving only the specific image data from the image sensor array comprises:

And receiving the specific image data including audio data from the sensor array.

82. The method according to Clause 1, wherein receiving only the specific image data from the image sensor array comprises:

And receiving from the image sensor array only the specific image data determined to contain a specific requested image object.

83. The method of claim 82, wherein the step of receiving from the image sensor array only the specific image data determined to contain the particular requested image object,

And receiving by the image sensor array only the specific image data determined to contain a particular requested image object.

84. The method of claim 1, wherein the step of transmitting the received specific image data to at least one requester comprises:

And transmitting the received specific image data to a user device.

85. The method of claim 84, wherein the transmitting the received specific image data to a user device comprises:

And transmitting at least a portion of the received specific image data to the user device requesting the particular image data.

86. The method of claim 1, wherein the step of transmitting the received specific image data to at least one requester comprises:

Separating the received specific image data into a set of one or more requested images;

And sending at least one image of the set of one or more requested images to a specific requestor requesting the at least one image.

87. The method of claim 86, wherein separating the received specific image data into a set of one or more requested images comprises:

And separating the received specific image data into a first requested image and a second requested image.

88. The method of embodiment 1, wherein the step of transmitting the received specific image data to at least one requester comprises:

And transmitting the received specific image data to a requesting user device for an image that is part of the received specific image data.

89. The method of embodiment 1, wherein the step of transmitting the received specific image data to at least one requester comprises:

Transmitting a first portion of the received specific image data to a first requester; And sending a second portion of the received specific image data to a second requestor.

90. The method of claim 89, wherein transmitting the first portion of the received specific image data to a first requester comprises:

And sending a first portion of the received specific image data to a first requester requesting a first portion of the received particular image data.

91. The method of claim 90, wherein the step of transmitting a first portion of the received specific image data to a first requestor requesting a first portion of the received particular image data comprises:

And sending an image containing the particular football player to the requesting television device configured to display the football game and containing the particular football player.

92. The method of claim 89, wherein transmitting the second portion of the received specific image data to a second requestor comprises:

And sending a second portion of the received specific image data to a second requestor requesting a second portion of the received particular image data.

93. The method of claim 92, wherein transmitting the second portion of the received specific image data to a second requestor requesting a second portion of the received specific image data comprises:

And transmitting an image containing a view of the car to the tablet device requesting a Street View image of a particular corner of the city.

94. The method of claim 94, wherein the step of transmitting the received specific image data to at least one requester comprises:

And transmitting at least a portion of the received specific image data without modification to at least one requester.

95. The method of claim 95, wherein the step of transmitting the received specific image data to at least one requester comprises:

Adding supplementary data to at least a portion of the received specific image data to generate transmitted image data;

And transmitting the generated transmission image data to at least one requester.

96. The method of claim 95, wherein the step of adding supplemental data to at least a portion of the received specific image data to generate the transmitted image data comprises:

And adding advertisement data to at least a portion of the received specific image data to generate transmitted image data.

97. The method of claim 96, wherein the step of adding advertisement data to at least a portion of the received specific image data to generate the transmitted image data comprises:

Based advertisement data based at least in part on the received specific image data to at least a portion of the received specific image data.

98. The method of claim 97, wherein the step of adding context based advertisement data based at least in part on the received specific image data to at least a portion of the received specific image data comprises:

And adding animal rights contribution advertisement data based at least in part on received specific image data of a tiger in a jungle oasis to specific image data of a tiger received in a jungle oasis.

99. The method of claim 95, wherein the step of adding supplemental data to at least a portion of the received specific image data to generate the transmitted image data comprises:

And adding associated visual data relating to the received particular image data to at least a portion of the received specific image data to generate transmitted image data.

100. The method of claim 99, wherein adding the associated visual data to the received specific image data to at least a portion of the received specific image data to generate the transmitted image data comprises:

And adding fancy football statistical data to the received specific image data of a football quarterback appearing in the particular image data received in the quarterback in a football game to generate transmitted image data.

101. The method of claim 101, wherein the step of transmitting the received specific image data to at least one requester comprises:

Modifying data of a portion of the received specific image data to generate transmitted image data;

And transmitting the generated transmission image data to at least one requester.

102. The method of claim 101, wherein modifying the data of a portion of the received specific image data to generate the transmitted image data comprises:

And performing an image manipulation modification of the received specific image data to generate transmit image data.

103. The method of embodiment 102 wherein performing image manipulation modifications to the received specific image data to generate the transmit image data comprises:

And performing contrast harmonization on the received specific image data to generate transmit image data.

104. The method of embodiment 102 wherein performing image manipulation modifications to the received specific image data to generate the transmit image data comprises:

And performing color correction harmonization on the received specific image data to generate transmit image data.

105. The method of claim 101, wherein modifying data of a portion of the received specific image data to generate the transmitted image data comprises:

And calibrating at least a portion of the received specific image data to generate transmit image data.

106. The method of clause 105, wherein the step of calibrating at least a portion of the received specific image data to generate the transmitted image data comprises:

And calibrating at least a portion of the received specific image data based on a requestor's security permission level.

107. The method of claim 106, wherein the step of calibrating at least a portion of the received specific image data based on the requestor &

And calibrating the tank from the received specific image data, including a satellite image comprising a military base, based on an insufficient security permission level of the device that requested the particular image data.

108. The method of claim 1, wherein the step of transmitting the received specific image data to at least one requester comprises:

Transmitting a low-resolution version of the received specific image data to the at least one requester;

And transmitting an inherited version of the received specific image data to the at least one requestor.

109. In a computer implemented system,

Means for obtaining a request for specific image data that is part of a scene;

Means for sending a request for the particular image data to an image sensor array comprising two or more image sensors and configured to capture a scene larger than the specific image data requested;

Means for receiving only the specific image data from the image sensor array;

And means for transmitting the received specific image data to at least one requester.

110. The apparatus of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

And means for obtaining a request for specific image data of a scene including one or more images.

111. The apparatus of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

And means for receiving a request for specific image data of the scene.

112. The method of claim 111, wherein the means for receiving a request for specific image data of the scene comprises:

And means for receiving a request for specific image data of a scene from a user device.

113. The apparatus of claim 112, wherein the means for receiving a request for specific image data of a scene from the user device comprises:

And means for receiving a request for specific image data of a scene from a user device configured to display at least a portion of the scene.

114. The method of claim 113, wherein the means for receiving a request for specific image data of a scene from a user device configured to display at least a portion of the scene comprises:

And means for receiving a request for specific image data of a scene from a user device configured to display at least a portion of the scene in a viewfinder.

115. The method of claim 112, wherein the means for receiving a request for specific image data of a scene from the user device comprises:

And means for receiving a request for specific image data of a scene from a user device configured to receive a selection of a particular image.

116. The apparatus of claim 115, wherein the means for receiving a request for specific image data of a scene from a user device configured to receive a selection of the particular image comprises:

And means for receiving a request for specific image data of a scene from a user device configured to receive the selection of the particular image, wherein the selection is based on a view of the scene.

117. The method of claim 115, wherein the means for receiving a request for specific image data of a scene from a user device configured to receive a selection of the particular image comprises:

Means for receiving a request for specific image data of a scene from a user receiving a request for specific image data of a scene from a user device configured to receive a selection of the particular image, A computer screen, a tablet, a camera, a consumer electronics device, and an augmented reality device.

118. The apparatus of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

Means for obtaining a request for specific image data of a scene, wherein the scene is image data collected by an array of two or more image sensors.

119. The method of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

Means for obtaining a request for specific image data of a scene, the scene being an indication of image data collected by an array of two or more image sensors.

120. The apparatus of claim 119, wherein the means for obtaining a request for specific image data of a scene, the representation of image data collected by the array of two or more image sensors,

Means for obtaining a request for specific image data of a scene, wherein the scene is sampled image data collected by an array of two or more image sensors.

121. The apparatus of claim 119, wherein the means for obtaining a request for specific image data of a scene, the representation of image data collected by the array of two or more image sensors,

Means for obtaining a request for specific image data of a scene, wherein the scene is a subset of image data collected by an array of two or more image sensors.

122. The apparatus of claim 119, wherein the means for obtaining a request for specific image data of a scene, the representation of image data collected by the array of two or more image sensors,

Wherein the scene is a low-resolution version of the image data collected by the array of two or more image sensors.

123. The apparatus of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

And means for obtaining a request for specific image data of a scene being a football game.

124. The apparatus of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

And means for obtaining a request for specific image data of a scene that is a distance view of a region.

125. The method of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

And means for obtaining a request for specific image data of a scenery that is a tourist spot.

126. The method of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

And means for obtaining a request for specific image data of a scene that is internal to the house.

127. The method of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

Means for obtaining a request for specific image data of a scene, wherein the particular image data is implemented as a computer that is an image of a portion of a scene.

128. The method of clause 127, wherein the means for obtaining a request for specific image data of the scene, wherein the particular image data is an image of a portion of the scene,

Means for obtaining a request for specific image data of a scene, wherein the particular image data comprises image data of a particular football player and the scene is a football field.

129. The method of clause 127, wherein the means for obtaining a request for specific image data of the scene, wherein the particular image data is an image of a portion of the scene,

The system comprising: means for obtaining a request for specific image data of a scene, wherein the particular image data comprises image data of a license plate and the scene is an image representation of a highway bridge.

130. The method of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

Means for obtaining a request for a particular image object located in the scene; And means for determining specific image data of a scene containing the particular image object.

131. The method of claim 130, wherein the means for obtaining a request for a particular image object located within the scene comprises:

And means for obtaining a request for a particular person located in the scene.

132. The method of claim 130, wherein the means for obtaining a request for a particular image object located within the scene comprises:

A computer-implemented system comprising means for obtaining a request for a basketball ball located within a scene being a basketball court.

133. The method of claim 130, wherein the means for obtaining a request for a particular image object located within the scene comprises:

And means for obtaining a request for a vehicle located within the scene.

134. The method of claim 130, wherein the means for obtaining a request for a particular image object located within the scene comprises:

And means for obtaining a request for any human object representation located in the scene.

135. The method according to clause 130, wherein the means for determining specific image data of a scene containing the particular image object comprises:

And means for determining specific image data of a scene containing the particular image object by applying automatic pattern recognition to the scene image data.

136. The method of claim 130, wherein the means for determining specific image data of a scene containing the particular image object comprises:

And means for determining specific image data of a scene containing the particular image object by identifying a particular image object in previous scene data that is image data of the scene from at least one previous point in time.

137. The method according to clause 130, wherein the means for determining specific image data of a scene containing the particular image object comprises:

And means for determining specific image data of the scene containing the particular image object by identifying a particular image object in the cached scene data.

138. The method of claim 137, wherein the means for determining specific image data of a scene containing the particular image object by identifying a particular image object in the cached scene data comprises:

A computer-implemented system comprising means for determining specific image data of a scene containing the particular image object by identifying a particular image object in cached scene data previously transmitted from an image sensor array comprising two or more image sensors. .

139. The method of claim 137, wherein the means for determining specific image data of a scene containing the particular image object by identifying a particular image object in the cached scene data comprises:

Identifying a particular image object in cached scene data previously transmitted from an image sensor array comprising two or more image sensors when the bandwidth is available for connection to an image sensor array comprising two or more image sensors, And means for determining specific image data of the scene in which the image is to be rendered.

140. The method of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

Means for receiving a first request for a first specific image data from a scene from a first requester;

And means for receiving a second request for a second specific image data from a scene from a second requester other than the first requester.

141. The method of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

And means for combining the received first request for the first specific image data from the scene and the received second request for the second specific image data from the scene.

142. The method of claim 141, wherein the means for combining a received first request for first specific image data from the scene and a second received request for second specific image data from the scene,

As a request for specific image data incorporating requested image data that overlaps the received first request for the first specific image data from the scene and the received second request for the second specific image data from the scene And means for coupling the computer system.

143. The method of claim 142, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

Means for receiving a first request for first specific image data from the scene and a second request for second specific image data from the scene;

And means for combining the received first request and the received second request into a request for specific image data.

144. The method of claim 143, wherein the means for combining the received first request and the received second request into a request for specific image data comprises:

And means for removing common pixel data between the received first request and the received second request.

[0158] 145. The apparatus of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

And means for obtaining a request for specific image data that is part of the scene, wherein the particular image data is implemented as a computer that is video data.

146. The apparatus of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

And means for obtaining a request for specific image data that is part of the scene, wherein the particular image data is audio data.

147. The apparatus of claim 109, wherein the means for obtaining a request for specific image data that is part of the scene comprises:

And means for obtaining a request for specific image data that is part of the scene from a user device receiving a request for specific image data via an audio interface.

148. The method of claim 147, wherein the means for obtaining a request for specific image data that is part of the scene from a user device receiving a request for specific image data via an audio interface,

And means for obtaining a request for specific image data that is part of the scene from a user device having a microphone for receiving a spoken request for specific image data from the user.

149. The apparatus of clause 109, wherein the means for sending a request for the particular image data to an image sensor array comprising two or more image sensors and configured to capture a scene larger than the requested specific image data,

And means for sending a request for the particular image data of the scene to an image sensor array comprising two or more image sensors and configured to capture an image larger than the requested image data.

150. The apparatus of clause 109, wherein the means for sending a request for the particular image data to an image sensor array that comprises two or more image sensors and is configured to capture a scene larger than the specific image data requested,

And means for sending a request for the particular image data of the scene to an image sensor array that is arranged to be arranged side by side and includes two image sensors angled toward each other and configured to capture an image larger than the requested image data A computer-implemented system.

151. The method of clause 109, wherein the means for sending a request for the particular image data to an image sensor array that comprises two or more image sensors and is configured to capture a scene larger than the specific image data requested,

And means for sending a request for the particular image data of the scene to an image sensor array comprising an array of image sensors arranged in a grid and configured to capture an image larger than the requested image data.

152. The method of clause 109, wherein the means for sending a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

And means for transmitting a request for the particular image data of the scene to an image sensor array that is configured to capture an image larger than the requested image data, the image sensor array including an array of image sensors arranged in a line such that the field of view is greater than 120 degrees A computer-implemented system.

153. The method of clause 109, wherein the means for sending a request for the particular image data to an image sensor array comprising two or more image sensors and configured to capture a scene larger than the specific image data requested,

And means for transmitting a request for the particular image data of the scene to an image sensor array that is configured to capture a larger image than the requested image data, including groupings of non-linear and non-sequentially arranged fixed image sensors The system to be implemented.

154. The apparatus of clause 109, wherein the means for sending a request for the particular image data to an image sensor array comprising two or more image sensors and configured to capture a scene larger than the specific image data requested,

And means for sending a request for the particular image data of the scene to an image sensor array that includes an array of static image sensors and is configured to capture an image larger than the requested image data.

155. The method of 154, wherein the means for sending a request for the particular image data of a scene to an image sensor array comprising an array of static image sensors and configured to capture an image larger than the requested image data,

Means for sending a request for the particular image data of the scene to an image sensor array that includes an array of image sensors having a fixed focal length and a fixed field of view and is configured to capture an image larger than the requested image data, The system to be implemented.

156. The apparatus of clause 109, wherein the means for sending a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the requested specific image data,

And means for sending a request for the particular image data of the scene to an image sensor array that includes an array of image sensors installed in the movable platform and configured to capture a scene larger than the requested image data.

157. The method of clause 109, wherein the means for sending a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the requested specific image data,

And means for transmitting a request for the particular image data of the scene to an image sensor array that is configured to capture a scene containing two or more image sensors and displaying more image data than the specific image data requested. System.

158. The method of claim 157, wherein sending a request for the particular image data of the scene to an image sensor array configured to capture a scene comprising the at least two image sensors and displaying more image data than the requested specific image data Said means comprising:

And means for sending a request for the particular image data of the scene to an image sensor array comprising two or more image sensors and configured to capture a scene displaying at least ten times as much image data as the requested specific image data A computer-implemented system.

159. The method of clause 157, wherein a request for the particular image data of a scene is sent to an image sensor array that is configured to capture a scene containing the at least two image sensors and displaying more image data than the specific image data requested Said means comprising:

And means for sending a request for the particular image data of the scene to an image sensor array that is configured to capture a scene containing two or more image sensors and displaying more than 100 times as much image data as the requested specific image data A computer-implemented system.

160. The apparatus of claim 109, wherein the means for sending a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

And means for sending a request for the particular image data to an image sensor array configured to capture a scene displaying a larger field of view than the specific image data requested.

161. The apparatus of clause 109, wherein the means for sending a request for the particular image data to an image sensor array comprising two or more image sensors and configured to capture a scene larger than the specific image data requested,

Means for modifying a request for the particular image data;

And means for sending a modified request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested.

162. The method of claim 161, wherein the means for modifying a request for the particular image data comprises:

And means for removing designated image data from a request for the particular image data.

163. The method of claim 162, wherein the means for removing designated image data from a request for the particular image data comprises:

And means for removing designated image data from a request for the particular image data based on pre-stored image data.

164. The method of claim 163, wherein the means for removing designated image data from a request for the particular image data based on the pre-

And means for removing designated image data from a request for the particular image data based on pre-stored image data retrieved from the image sensor array.

165. The method of claim 163, wherein the means for removing designated image data from a request for the particular image data based on the pre-

And means for removing designated image data from a request for the particular image data based on the pre-stored image data that is an early version of the designated image data.

166. The method of 165, wherein the means for removing designated image data from a request for the particular image data based on the pre-stored image data is an early version of the designated image data,

Means for removing image data of one or more static objects from a request for specific image data that is a view of the distance based on previously stored image data of one or more static objects from an early version captured by the image sensor array. ≪ / RTI >

167. The method as recited in clause 166, wherein image data of one or more static objects is removed from a request for specific image data that is a view of the distance, based on pre-stored image data of one or more static objects from an early version captured by the image sensor array Said means

From a request for specific image data of one or more static objects from a request for specific image data that is a view of the distance, based on previously stored image data of one or more static objects from an early version captured by the image sensor array And means for removing image data.

168. The method of claim 161, wherein the means for modifying a request for the particular image data comprises:

And means for removing a portion of the request for the particular image data through pixel interpolation or extrapolation of a portion of the request for the particular image data.

169. The method of clause 168, wherein the means for removing a portion of the request for the particular image data through pixel interpolation or extrapolation of a portion of the request for the particular image data comprises:

And means for removing one or more static objects from a request for the particular image data through pixel interpolation of a portion of the request for the particular image data.

170. The method of claim 161, wherein the means for modifying a request for the particular image data comprises:

Means for identifying at least a portion of a request for the particular image data already stored in the memory;

And means for removing an identified portion of the request for the particular image data.

171. The method of 170, wherein the means for identifying at least a portion of a request for the particular image data already stored in the memory,

And means for identifying at least a portion of a request for the particular image data pre-captured by the image sensor array.

172. The method of 170, wherein the means for identifying at least a portion of a request for the particular image data already stored in the memory,

And means for identifying one or more static objects of a request for the particular image data pre-captured by the image sensor array.

173. The method as defined in clause 172, wherein the means for determining the magnitude of the request for the particular image data based at least in part on the resolution of the user device requesting the particular image data,

And means for identifying one or more natural rock stamps of the request for the particular image data pre-captured by the image sensor array.

[0073] 174. The method of clause 109, wherein the means for transmitting a request for the particular image data to an image sensor array comprising the two or more image sensors and configured to capture a scene larger than the requested specific image data,

Means for determining a size of a request for the particular image data;

And means for sending a request for the particular image data to determine the size to the image sensor array configured to capture the scene.

175. The method of claim 174, wherein the means for determining the magnitude of the request for the particular image data comprises:

And means for determining a size of a request for the particular image data based at least in part on attributes of the user device requesting at least a portion of the particular image data.

176. The method of clause 175, wherein the means for determining the magnitude of a request for the particular image data based at least in part on an attribute of a user device requesting at least a portion of the particular image data,

And means for determining a size of the request for the particular image data based at least in part on the resolution of the user device that requested the particular image data.

177. The method of 174, wherein the means for determining the size of the request for the particular image data comprises:

And means for determining a size of a request for the particular image data based at least in part on a device access level of the user device requesting at least a portion of the particular image data.

178. The method of embodiment 174 wherein the means for determining the size of the request for the particular image data comprises:

And means for determining a size of a request for the particular image data based at least in part on an amount of available bandwidth for communicating with the image sensor array.

179. The method of 174, wherein the means for determining the size of the request for the particular image data comprises:

And means for determining the size of the request for the particular image data based at least in part on the amount of time the user device requesting the image data requested at least a portion of the particular image data.

180. The method of claim 174, wherein the means for determining the size of the request for the particular image data comprises:

And means for determining a size of a request for the particular image data based at least in part on an amount of available bandwidth for communicating with a requesting user device for at least a portion of the particular image data.

181. The method according to clause 109, wherein the means for receiving only the specific image data from the image sensor array comprises:

And means for receiving only the specific image data from the image sensor array, wherein the data from the scene other than the specific image data is discarded.

182. The method according to Clause 109, wherein the means for receiving only the specific image data from the image sensor array comprises:

And means for receiving only the specific image data from the image sensor array, wherein data from a scene other than the specific image data is stored in the image sensor array.

183. In section 109, the means for receiving only the specific image data from the image sensor array,

And means for receiving said specific image data from said image sensor array in near real time.

184. In section 109, the means for receiving only the specific image data from the image sensor array,

Means for receiving said specific image data from said image sensor array in near real time;

And means for later retrieving data from the scene that is not the particular image data.

185. The apparatus of 184, wherein the means for later retrieving data from a scene other than the specific image data comprises:

And means for retrieving data from a scene that is not the particular image data when bandwidth is available to the image sensor array.

186. The apparatus of 184, wherein the means for later retrieving data from a scene other than the particular image data comprises:

And means for retrieving data from a scene other than the specific image data when displaying off peak usage of the image sensor array.

187. The apparatus of 184, wherein the means for later retrieving data from a scene other than the specific image data comprises:

And means for retrieving data from a scene other than the specific image data when the particular image data is not requested.

188. The apparatus of 184, wherein the means for later retrieving data from a scene other than the specific image data comprises:

And means for retrieving data from a scene other than the specific image data when a lesser number of users request specific image data than the image sensor array has capacity.

189. The method according to Clause 109, wherein the means for receiving only the specific image data from the image sensor array comprises:

And means for receiving the particular image data, including audio data, from the sensor array.

190. The method according to clause 109, wherein the means for receiving only the specific image data from the image sensor array comprises:

And means for receiving from the image sensor array only the specific image data determined to contain a particular requested image object.

191. The method of claim 190, wherein the means for receiving from the image sensor array only the specific image data determined to contain the particular requested image object,

And means for receiving by the image sensor array only the specific image data determined to contain a particular requested image object.

192. The method of claim 109, wherein the means for transmitting the received specific image data to at least one requester comprises:

And means for transmitting the received specific image data to a user device.

193. In 192, the means for transmitting the received specific image data to a user device comprises:

And means for transmitting at least a portion of the received specific image data to the user device requesting the particular image data.

194. In 109, the means for transmitting the received specific image data to at least one requester comprises:

Means for separating the received specific image data into a set of one or more requested images;

And means for sending at least one image of the set of one or more requested images to a specific requestor requesting the at least one image.

195. The method of claim 194, wherein the means for separating the received specific image data into a set of one or more requested images comprises:

And means for separating the received specific image data into a first requested image and a second requested image.

196. The method according to Clause 109, wherein the means for transmitting the received specific image data to at least one requester comprises:

And means for transmitting the received specific image data to a requesting user device for an image that is part of the received specific image data.

197. The method of claim 109, wherein the means for transmitting the received specific image data to at least one requester comprises:

Means for transmitting a first portion of the received specific image data to a first requester;

And means for transmitting a second portion of the received specific image data to a second requestor.

198. The method according to clause 197, wherein the means for transmitting the first portion of the received specific image data to a first requester comprises:

And means for transmitting a first portion of the received specific image data to a first requester requesting a first portion of the received particular image data.

199. The method of claim 198, wherein the means for transmitting a first portion of the received specific image data to a first requestor requesting a first portion of the received particular image data comprises:

And means for sending an image containing a particular football player to the requesting television device configured to display a football game and containing the particular football player.

200. The method of claim 197, wherein the means for transmitting the second portion of the received specific image data to a second requestor comprises:

And means for sending a second portion of the received specific image data to a second requestor requesting a second portion of the received particular image data.

201. The method according to 200, wherein the means for transmitting the second portion of the received specific image data to a second requestor requesting a second portion of the received particular image data comprises:

And means for transmitting an image containing a view of the car to a tablet device requesting a Street View image of a particular corner of the city.

202. The method of claim 109, wherein the means for transmitting the received specific image data to at least one requester comprises:

And means for transmitting at least one portion of the received specific image data without modification to at least one requester.

203. The method according to clause 109, wherein the means for transmitting the received specific image data to at least one requester comprises:

Means for adding supplemental data to at least a portion of the received specific image data to generate transmitted image data;

And means for transmitting the generated transmission image data to at least one requester.

204. The method of claim 203, wherein the means for adding supplemental data to at least a portion of the received specific image data to generate the transmitted image data comprises:

And means for adding advertisement data to at least a portion of the received specific image data to generate transmit image data.

205. The method of claim 204, wherein the means for adding advertisement data to at least a portion of the received specific image data to generate the transmitted image data comprises:

And means for adding context-based advertising data based at least in part on the received particular image data to at least a portion of the received specific image data.

206. The method of claim 205, wherein the means for adding context based advertisement data based at least in part on the received specific image data to at least a portion of the received particular image data comprises:

Means for adding animal rights contribution advertisement data based at least in part on received specific image data of a tiger in a jungle oasis to specific image data of the tiger received in a jungle oasis.

207. The method of claim 203, wherein the means for adding supplemental data to at least a portion of the received specific image data to generate the transmission image data comprises:

And means for adding associated visual data relating to the received particular image data to at least a portion of the received specific image data to generate transmitted image data.

208. The apparatus of 207, wherein the means for adding associated visual data relating to the received particular image data to at least a portion of the received specific image data for generating the transmitted image data comprises:

And means for adding fancy football statistical data to the received specific image data of a football quarterback appearing in the received specific image data of the quarterback in a football game to generate transmitted image data.

209. The method according to Clause 109, wherein the means for transmitting the received specific image data to at least one requester comprises:

Means for modifying data of a portion of the received specific image data to generate transmitted image data;

And means for transmitting the generated transmission image data to at least one requester.

210. The apparatus of 209, wherein the means for modifying data in a portion of the received specific image data to generate the transmitted image data comprises:

And means for performing an image manipulation modification of the received particular image data to generate transmit image data.

211. The apparatus of 210, wherein the means for performing an image manipulation modification of the received specific image data to generate the transmit image data comprises:

And means for performing contrast harmonization in the received specific image data to generate transmit image data.

212. The apparatus of 210, wherein the means for performing an image manipulation modification of the received specific image data to generate the transmit image data comprises:

And means for performing color correction harmonization on the received specific image data to generate transmit image data.

213. The apparatus of claim 209, wherein the means for modifying data in a portion of the received particular image data to generate the transmit image data comprises:

And means for calibrating at least a portion of the received specific image data to generate transmit image data.

214. The method of claim 213, wherein the means for calibrating at least a portion of the received specific image data to generate the transmit image data comprises:

And means for calibrating at least a portion of the received specific image data based on a requestor's security permission level.

215. The method of 214, wherein the means for calibrating at least a portion of the received specific image data based on the requestor's security grant level comprises:

And means for calibrating the tank from the received specific image data, including a satellite image including a military base, based on an insufficient security clearance level of the device that requested the particular image data.

216. The method of claim 109, wherein the means for transmitting the received specific image data to at least one requester comprises:

Means for transmitting a low resolution version of the received specific image data to the at least one requester;

And means for transmitting an alternate version of the received particular image data to the at least one requester.

217. In a computer implemented system,

Circuitry for obtaining a request for specific image data that is part of a scene;

Circuitry that includes two or more image sensors and that sends a request for the particular image data to an image sensor array configured to capture a scene that is larger than the specific image data requested;

Circuitry for receiving only the specific image data from the image sensor array;

And transmitting the received specific image data to at least one requester.

218. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

A circuit for obtaining a request for specific image data of a scene including one or more images.

219. The apparatus of 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

And a circuit for receiving a request for specific image data of the scene.

220. The apparatus of 219, wherein the circuit for receiving a request for specific image data of the scene comprises:

And a circuit for receiving a request for specific image data of a scene from a user device.

221. The apparatus of claim 220, wherein the circuit for receiving a request for specific image data of a scene from the user device comprises:

And a circuit for receiving a request for specific image data of a scene from a user device configured to display at least a portion of the scene.

222. The method of claim 221, wherein the circuit for receiving a request for specific image data of a scene from a user device configured to display at least a portion of the scene comprises:

And a circuit for receiving a request for specific image data of a scene from a user device configured to display at least a portion of the scene in a viewfinder.

223. The apparatus of claim 220, wherein the circuit for receiving a request for specific image data of a scene from the user device comprises:

A circuit for receiving a request for specific image data of a scene from a user device configured to receive a selection of a particular image.

224. The method of 223, wherein the circuit for receiving a request for specific image data of a scene from a user device configured to receive a selection of the particular image comprises:

A circuit for receiving a request for specific image data of a scene from a user device configured to receive a selection of the particular image, the selection being based on a view of the scene.

[0253] [00224] [00220] 225. The method of 223, wherein the circuit for receiving a request for specific image data of a scene from a user device configured to receive a selection of the particular image comprises:

Circuitry for receiving a request for specific image data of a scene from a user receiving a request for specific image data of a scene from a user device configured to receive a selection of the particular image, A computer screen, a tablet, a camera, a consumer electronics device, and an augmented reality device.

226. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

A system, comprising: circuitry for obtaining a request for specific image data of a scene, the scene being image data collected by an array of two or more image sensors.

227. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

A circuit for obtaining a request for specific image data of a scene, the scene being an indication of image data collected by an array of two or more image sensors.

228. The method of 227, wherein the circuit for obtaining a request for specific image data of a scene that is a representation of image data collected by the array of two or more image sensors comprises:

A system, comprising: circuitry for obtaining a request for specific image data of a scene, the scene being a sampling of image data collected by an array of two or more image sensors.

229. The method of clause 227, wherein the circuit for obtaining a request for specific image data of a scene, the representation of image data collected by the array of two or more image sensors,

A circuit for obtaining a request for specific image data of a scene, wherein the scene is a subset of image data collected by an array of two or more image sensors.

230. The circuit of claim 227, wherein the circuit for obtaining a request for specific image data of a scene, the representation of image data collected by the array of two or more image sensors,

A system, comprising: circuitry for obtaining a request for specific image data of a scene, the scene being a low-resolution version of image data collected by an array of two or more image sensors.

231. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

And a circuit for obtaining a request for specific image data of a scene being a football game.

232. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

And a circuit for obtaining a request for specific image data of a scene, the scene being a local view of a region.

[0217] [233] 233. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

And a circuit for acquiring a request for specific image data of a scenery that is a tourist spot.

234. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

And a circuit for obtaining a request for specific image data of a scene that is internal to the house.

235. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

A system, comprising circuitry for obtaining a request for specific image data of a scene, wherein the particular image data is implemented as a computer that is an image of a portion of a scene.

236. The circuitry of claim 235, wherein the circuit for obtaining a request for specific image data of the scene, wherein the particular image data is an image of a portion of the scene,

And a circuit for obtaining a request for specific image data of a scene, wherein the particular image data comprises image data of a particular football player and the scene is a football field.

237. The method of claim 235, wherein the circuit for obtaining a request for specific image data of the scene, wherein the particular image data is an image of a portion of the scene,

And a circuit for obtaining a request for specific image data of a scene, wherein the specific image data comprises image data of a license plate and the scene is an image representation of a highway bridge.

238. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

Circuitry for obtaining a request for a particular image object located within a scene;

And circuitry for determining specific image data of a scene containing the particular image object.

239. The method of claim 238, wherein the circuit for obtaining a request for a particular image object located within the scene comprises:

And a circuit for obtaining a request for a particular person located in the scene.

240. The method of claim 238, wherein the circuit for obtaining a request for a particular image object located within the scene comprises:

A computer-implemented system comprising a circuit for obtaining a request for a basketball ball located within a scene being a basketball court.

241. The method of claim 238, wherein the circuit for obtaining a request for a particular image object located within the scene comprises:

And a circuit for obtaining a request for a vehicle located in the scene.

242. The method of claim 238, wherein the circuit for obtaining a request for a particular image object located within the scene comprises:

And a circuit for obtaining a request for any human object representation located within the scene.

243. The method of 238, wherein the circuit for determining specific image data of a scene containing the particular image object comprises:

And circuitry for determining specific image data of the scene containing the particular image object by applying automatic pattern recognition to the scene image data.

244. In 238, the circuit for determining specific image data of a scene containing the particular image object comprises:

And circuitry for determining specific image data of a scene containing the particular image object by identifying a particular image object in previous scene data that is image data of the scene from at least one previous point in time.

245. The method of 238, wherein the circuit for determining specific image data of a scene containing the particular image object comprises:

And circuitry for determining specific image data of the scene containing the particular image object by identifying a particular image object in the cached scene data.

246. The method of 245, wherein the circuit for determining specific image data of a scene containing the particular image object by identifying a particular image object in the cached scene data comprises:

A computer-implemented system, comprising circuitry for determining specific image data of a scene containing the particular image object by identifying a particular image object in cached scene data previously transmitted from an image sensor array comprising two or more image sensors, .

247. The method of 245, wherein the circuit for determining specific image data of a scene containing the particular image object by identifying a particular image object in the cached scene data comprises:

Identifying a particular image object in cached scene data previously transmitted from an image sensor array comprising two or more image sensors when the bandwidth is available for connection to an image sensor array comprising two or more image sensors, And a circuit for determining specific image data of the scene.

248. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

Circuitry for receiving a first request for a first specific image data from a scene from a first requester;

And a circuit for receiving a second request for a second specific image data from a scene from a second requester other than the first requester.

249. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

And a circuit for combining the received first request for the first specific image data from the scene and the received second request for the second specific image data from the scene.

250. The apparatus of 249, wherein the circuit for combining a received first request for first specific image data from the scene and a second received request for second specific image data from the scene,

As a request for specific image data incorporating requested image data that overlaps the received first request for the first specific image data from the scene and the received second request for the second specific image data from the scene A computer-implemented system that includes a circuit for coupling.

251. The method of claim 250, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

Circuitry for receiving a first request for first specific image data from the scene and a second request for second specific image data from the scene;

And circuitry to combine the received first request and the received second request into a request for specific image data.

252. The method of claim 251, wherein the circuit coupling the received first request and the received second request into a request for specific image data comprises:

And circuitry for removing common pixel data between the received first request and the received second request.

253. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

And circuitry to obtain a request for specific image data that is part of the scene, wherein the particular image data is implemented as a computer that is video data.

254. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

And circuitry for obtaining a request for specific image data that is part of the scene, wherein the particular image data is audio data.

255. The method of claim 217, wherein the circuit for obtaining a request for specific image data that is part of the scene comprises:

And a circuit for obtaining a request for specific image data that is part of the scene from a user device receiving a request for specific image data via an audio interface.

256. The method of claim 255 wherein the circuit for obtaining a request for specific image data that is part of the scene from a user device receiving a request for specific image data via an audio interface comprises:

And a circuit for obtaining a request for specific image data that is part of the scene from a user device having a microphone for receiving a spoken request for specific image data from the user.

257. The circuitry of claim 217, wherein the circuit for sending a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

And a circuit for sending a request for the particular image data of the scene to an image sensor array that includes two or more image sensors and is configured to capture an image larger than the requested image data.

258. The circuitry of 217, wherein the circuit for sending a request for the particular image data to an image sensor array comprising two or more image sensors and configured to capture a scene larger than the specific image data requested,

A circuit for transmitting a request for the particular image data of a scene to an image sensor array arranged in parallel and comprising two image sensors angled towards each other and configured to capture an image larger than the requested image data, A computer-implemented system.

259. The circuitry of 217, wherein the circuit for transmitting a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

And a circuit for transmitting a request for the particular image data of the scene to an image sensor array that is configured to capture an image larger than the requested image data, including an array of image sensors arranged in a grid.

260. The circuitry of 217, wherein the circuitry for transmitting a request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

Including a circuit for transmitting a request for the particular image data of a scene to an image sensor array that includes an array of image sensors arranged in a line so that the field of view is greater than 120 degrees and is configured to capture an image larger than the requested image data A computer-implemented system.

261. The method of claim 217, wherein the circuitry for transmitting the request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested,

A computer system comprising a grouping of non-linear and non-sequentially arranged fixed image sensors, and a circuit for transmitting a request for the particular image data of a scene to an image sensor array configured to capture an image larger than the requested image data The system to be implemented.

262. The method of claim 217, wherein the circuitry that includes two or more image sensors and that sends a request for the particular image data to an image sensor array configured to capture a scene larger than the requested specific image data,

And a circuit for sending a request for the particular image data of the scene to an image sensor array that includes an array of static image sensors and is configured to capture an image larger than the requested image data.

263. The method of 262, wherein the circuitry that includes the array of static image sensors and transmits a request for the particular image data of the scene to an image sensor array configured to capture an image larger than the requested image data,

A circuit that includes an array of image sensors having a fixed focal length and a fixed field of view and that transmits a request for the particular image data of the scene to an image sensor array configured to capture an image larger than the requested image data The system to be implemented.

264. The method of claim 217, wherein the circuitry that includes two or more image sensors and that sends a request for the particular image data to an image sensor array configured to capture a scene that is larger than the specific image data requested,

And a circuit for transferring a request for the particular image data of the scene to an image sensor array that includes an array of image sensors installed in the movable platform and configured to capture a scene larger than the requested image data.

265. The method of claim 217, wherein the circuitry that includes two or more image sensors and that sends a request for the particular image data to an image sensor array configured to capture a scene that is larger than the requested specific image data,

Comprising a circuit for transmitting a request for the particular image data of a scene to an image sensor array comprising two or more image sensors and configured to capture a scene displaying more image data than the specific image data requested System.

266. The method of 265, wherein a request for the particular image data of a scene is sent to an image sensor array that is configured to capture a scene containing the at least two image sensors and displaying more image data than the specific image data requested The circuit comprising:

A circuit for transmitting a request for the particular image data of a scene to an image sensor array that includes two or more image sensors and is configured to capture a scene displaying at least ten times as much image data as the specific image data requested A computer-implemented system.

267. The method of 265, wherein a request for the particular image data of a scene is sent to an image sensor array that is configured to capture the scene including the at least two image sensors and displaying more image data than the specific image data requested The circuit comprising:

Circuitry that includes two or more image sensors and transmits a request for the particular image data of the scene to an image sensor array configured to capture a scene displaying more than 100 times as much image data as the requested specific image data A computer-implemented system.

268. The method of claim 217, wherein the circuitry that includes two or more image sensors and transmits a request for the particular image data to an image sensor array configured to capture a scene larger than the specific image data requested,

And a circuit for sending a request for the particular image data to an image sensor array configured to capture a scene displaying a larger field of view than the specific image data requested.

269. The method of 217, wherein the circuitry that includes two or more image sensors and transmits a request for the particular image data to an image sensor array configured to capture a scene that is larger than the requested specific image data,

A circuit for modifying a request for the particular image data;

And a circuit that includes two or more image sensors and transmits a modified request for the particular image data to an image sensor array configured to capture a scene larger than the specific image data requested.

270. The method of claim 269, wherein the circuit modifying the request for the particular image data comprises:

And a circuit for removing designated image data from a request for the particular image data.

271. The method of 270, wherein the circuit for removing designated image data from a request for the particular image data comprises:

And a circuit for removing the specified image data from the request for the specific image data based on the pre-stored image data.

272. The method of embodiment 271, wherein the circuit for removing designated image data from a request for the particular image data based on the pre-

And circuitry for removing designated image data from a request for the particular image data based on pre-stored image data retrieved from the image sensor array.

273. The method of 271, wherein the circuit for removing designated image data from a request for the particular image data based on the pre-

And circuitry to remove designated image data from a request for the particular image data based on the pre-stored image data that is an early version of the designated image data.

274. The method of 273, wherein the circuit for removing designated image data from a request for the specific image data based on the pre-stored image data, which is an early version of the designated image data,

A circuit for removing image data of one or more static objects from a request for specific image data that is a view of the distance based on previously stored image data of one or more static objects from an early version captured by the image sensor array. ≪ / RTI >

275. The method of 274, further comprising: removing image data of one or more static objects from a request for specific image data that is a view of the distance, based on pre-stored image data of one or more static objects from an early version captured by the image sensor array Said circuit comprising:

From a request for specific image data of one or more static objects from a request for specific image data that is a view of the distance, based on previously stored image data of one or more static objects from an early version captured by the image sensor array And a circuit for removing image data.

276. The method of 269, wherein the circuit modifying the request for the particular image data comprises:

And circuitry for removing a portion of the request for the particular image data through pixel interpolation or extrapolation of a portion of the request for the particular image data.

277. The method of 276, wherein the circuit for removing a portion of the request for the particular image data through pixel interpolation or extrapolation of a portion of the request for the particular image data comprises:

And circuitry to remove one or more static objects from a request for the particular image data through pixel interpolation of a portion of the request for the particular image data.

278. The apparatus of 269, wherein the circuit modifying the request for the particular image data comprises:

Circuitry for identifying at least a portion of a request for the particular image data already stored in the memory;

And circuitry for removing the identified portion of the request for the particular image data.

279. The method of clause 278, wherein the circuit for identifying at least a portion of a request for the particular image data already stored in the memory,

And circuitry for identifying at least a portion of a request for the particular image data pre-captured by the image sensor array.

280. The circuitry of 278, wherein at least a portion of a request for the particular image data already stored in the memory is identified,

And circuitry for identifying one or more static objects of the request for the particular image data pre-captured by the image sensor array.

281. The circuit for determining the size of a request for specific image data based at least in part on a resolution of a user device requesting the particular image data,

And circuitry for identifying one or more natural rock-stamping stations of the request for the specific image data previously captured by the image sensor array.

282. The method of claim 217, wherein the circuitry for transmitting the request for the particular image data to an image sensor array that includes the two or more image sensors and is configured to capture a scene larger than the specific image data requested,

Circuitry for determining a size of a request for the particular image data;

And send a request for the particular image data to the image sensor array configured to capture the scene.

283. In 282, the circuit for determining the size of a request for the particular image data comprises:

And circuitry for determining a size of a request for the particular image data based at least in part on an attribute of the user device requesting at least a portion of the particular image data.

284. The circuit of claim 283, wherein the circuit for determining the magnitude of the request for the particular image data based at least in part on an attribute of the user device requesting at least a portion of the particular image data,

And circuitry for determining the size of the request for the particular image data based at least in part on the resolution of the user device requesting the particular image data.

285. The method of claim 282, wherein the circuit for determining the size of the request for the particular image data comprises:

And circuitry for determining a size of a request for the particular image data based at least in part on a device access level of the user device requesting at least a portion of the particular image data.

286. The method of claim 282, wherein the circuit for determining the size of the request for the particular image data comprises:

And circuitry for determining a size of a request for the particular image data based at least in part on an amount of available bandwidth for communicating with the image sensor array.

287. The method of claim 282, wherein the circuit for determining the size of the request for the particular image data comprises:

And circuitry for determining a size of a request for the particular image data based at least in part on an amount of time the user device requesting the image data requested at least a portion of the particular image data.

288. The method of claim 282, wherein the circuit for determining the magnitude of the request for the particular image data comprises:

And circuitry for determining a size of a request for the particular image data based at least in part on an amount of available bandwidth for communicating with the user device requesting at least a portion of the particular image data.

289. The method of embodiment 217, wherein the circuit receiving only the specific image data from the image sensor array comprises:

And circuitry for receiving only the specific image data from the image sensor array, wherein data from a scene other than the specific image data is discarded.

290. The method of embodiment 217, wherein the circuit receiving only the specific image data from the image sensor array comprises:

And wherein the circuitry is configured to receive only the specific image data from the image sensor array, wherein data from the scene other than the specific image data is stored in the image sensor array.

291. The method of embodiment 217, wherein the circuit receiving only the specific image data from the image sensor array comprises:

And a circuit for receiving said specific image data from said image sensor array in near real time.

292. The method of embodiment 217, wherein the circuit receiving only the specific image data from the image sensor array comprises:

Circuitry for receiving said specific image data from said image sensor array in near real time;

And circuitry for later retrieving data from the scene that is not the particular image data.

293. 292. The circuit for later retrieving data from a scene other than the specific image data,

And circuitry to retrieve data from a scene that is not the particular image data when bandwidth is available to the image sensor array.

294. 292. The circuit for later retrieving data from a scene other than the specific image data,

And retrieving data from a scene other than the specific image data when displaying off-peak usage of the image sensor array.

295. The method of 292, wherein the circuit for later retrieving data from a scene other than the specific image data comprises:

And circuitry to retrieve data from a scene other than the particular image data when the particular image data is not requested.

296. The method of 292, wherein the circuit for later retrieving data from a scene other than the particular image data comprises:

And circuitry to retrieve data from a scene that is not the particular image data when a smaller number of users request specific image data than the image sensor array has capacity.

297. The method of claim 217, wherein the circuit receiving only the specific image data from the image sensor array comprises:

And receiving the specific image data, including audio data, from the sensor array.

298. The method of embodiment 217, wherein the circuit receiving only the specific image data from the image sensor array comprises:

And a circuit for receiving from the image sensor array only the specific image data determined to contain a specific requested image object.

299. The method of claim 298, wherein the circuit receiving only the specific image data from the image sensor array determined to contain the particular requested image object comprises:

Wherein the image sensor array receives only the specific image data determined to contain a particular requested image object.

300. The apparatus of claim 217, wherein the circuitry for transmitting the received particular image data to at least one requester comprises:

And transmitting the received specific image data to a user device.

301. The method of claim 300, wherein the circuitry for transmitting the received specific image data to a user device comprises:

And transmitting at least a portion of the received specific image data to a user device requesting the particular image data.

302. The method of claim 217, wherein the circuitry for transmitting the received specific image data to at least one requester comprises:

Circuitry for separating the received specific image data into a set of one or more requested images;

And transmit the at least one image of the set of one or more requested images to the specific requestor requesting the at least one image.

303. The method of claim 302, wherein the circuitry for separating the received specific image data into a set of one or more requested images comprises:

And a circuit for separating the received specific image data into a first requested image and a second requested image.

304. The apparatus of claim 217, wherein the circuitry for transmitting the received specific image data to at least one requester comprises:

And transmitting the received specific image data to a requesting user device for an image that is part of the received specific image data.

305. The apparatus of claim 217, wherein the circuitry for transmitting the received specific image data to at least one requester comprises:

Circuitry for transmitting a first portion of the received specific image data to a first requester;

And transmitting a second portion of the received specific image data to a second requester.

306. The method of claim 305, wherein the circuitry for transmitting a first portion of the received specific image data to a first requester comprises:

And sending a first portion of the received specific image data to a first requester requesting a first portion of the received particular image data.

307. The method of claim 306, wherein the circuitry for transmitting a first portion of the received specific image data to a first requester requesting a first portion of the received particular image data comprises:

And a circuit configured to display an image containing a particular football player and to transmit the image containing the particular football player to the requesting television device.

308. The method of claim 305, wherein the circuitry for transmitting a second portion of the received specific image data to a second requester comprises:

And sending a second portion of the received particular image data to a second requestor requesting a second portion of the received particular image data.

309. The method of claim 308, wherein the circuitry for transmitting a second portion of the received specific image data to a second requestor requesting a second portion of the received specific image data comprises:

And a circuit for transmitting an image containing a view of the car to a tablet device requesting a Street View image of a particular corner of the city.

310. The apparatus of claim 217, wherein the circuitry for transmitting the received specific image data to at least one requester comprises:

And transmitting at least one portion of the received specific image data without modification to at least one requester.

311. The method of claim 217, wherein the circuitry for transmitting the received specific image data to at least one requester comprises:

Circuitry for adding supplemental data to at least a portion of the received specific image data to generate transmit image data;

And transmitting the generated transmission image data to at least one requester.

312. The apparatus of 311, wherein the circuit for adding supplemental data to at least a portion of the received specific image data to generate the transmit image data comprises:

And circuitry for adding advertisement data to at least a portion of the received particular image data to generate transmit image data.

313. The method of claim 312, wherein the circuit for adding advertisement data to at least a portion of the received specific image data to generate the transmitted image data comprises:

Based advertisement data based at least in part on the received particular image data to at least a portion of the received particular image data.

314. The method of 313, wherein the circuit for adding context based advertisement data based at least in part on the received specific image data to at least a portion of the received particular image data comprises:

A circuit for adding animal rights contribution advertisement data based at least in part on received specific image data of a tiger in a jungle oasis to specific image data received by a tiger in a jungle oasis.

315. The method of 311, wherein the circuit for adding supplemental data to at least a portion of the received specific image data to generate the transmitted image data comprises:

And circuitry to add associated visual data relating to the received particular image data to at least a portion of the received particular image data to generate transmit image data.

316. The method of 315, wherein the circuit for adding associated visual data relating to the received specific image data to at least a portion of the received specific image data to generate the transmitted image data comprises:

And circuitry for adding fancy football statistics data to the received specific image data of a football quarterback appearing in the received specific image data of the quarterback in a football game to generate transmitted image data.

317. The method of claim 217, wherein the circuitry for transmitting the received specific image data to at least one requester comprises:

Circuitry for modifying data of a portion of the received specific image data to generate transmitted image data;

And transmitting the generated transmission image data to at least one requester.

318. The method of 317, wherein the circuit modifying data of a portion of the received specific image data to generate the transmit image data comprises:

And circuitry for performing image manipulation modifications of the received particular image data to generate transmit image data.

319. The method of 318, wherein the circuit for performing image manipulation modification of the received specific image data to generate the transmit image data comprises:

And a circuit for performing contrast harmonization in the received specific image data to generate transmit image data.

320. The apparatus of 318, wherein the circuit for performing image manipulation modifications of the received specific image data to generate the transmit image data comprises:

And a circuit for performing color correction harmonization in the received specific image data to generate transmit image data.

321. The method of claim 317, wherein the circuit modifying data of a portion of the received specific image data to generate the transmit image data comprises:

And circuitry for calibrating at least a portion of the received particular image data to generate transmit image data.

322. The method of 321, wherein the circuit for calibrating at least a portion of the received specific image data to generate the transmitted image data comprises:

And circuitry for calibrating at least a portion of the received specific image data based on a requestor's security permission level.

323. The method of clause 322, wherein the circuit for calibrating at least a portion of the received specific image data based on a security grant level of the requestor comprises:

And a circuit for calibrating the tank from the received specific image data, including a satellite image comprising a military base, based on an insufficient security clearance level of the device that requested the particular image data.

324. The method of claim 217, wherein the circuitry for transmitting the received specific image data to at least one requester comprises:

Circuitry for transmitting a low-resolution version of the received specific image data to the at least one requester;

And a circuit for transmitting an inherited version of the received specific image data to the at least one requester.

325. In a computer program product,

And a signal-bearing medium, wherein the signal-

One or more instructions for obtaining a request for specific image data that is part of a scene;

One or more instructions for sending a request for the particular image data to an image sensor array comprising two or more image sensors and configured to capture a scene larger than the specific image data requested;

One or more instructions for receiving only the specific image data from the image sensor array;

And one or more instructions for sending the received specific image data to at least one requester.

326. In an apparatus defined by a computer language,

One or more interconnected physical machines directed to obtain a request for specific image data that is part of a scene;

One or more interconnected physical machines including two or more image sensors and directed to send a request for the particular image data to an image sensor array configured to capture a scene larger than the specific image data requested;

One or more interconnected physical machines instructed to receive only the particular image data from the image sensor array;

And one or more interconnected physical machines directed to transmit the received specific image data to at least one requester.

327. A module for obtaining a request for specific image data that is part of a scene;

A module for sending a request for the particular image data to the image sensor array, the module comprising two or more image sensors and configured to send a request to an image sensor array configured to capture a scene larger than the requested specific image data;

A module for exclusively receiving the specific image data from the image sensor array;

And a module for transmitting the received specific image data to at least one requester.

328. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

And a module for obtaining a request for specific image data that is part of the scene and includes one or more images.

329. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

And a module for receiving a request for specific image data that is part of a scene.

330. The method of claim 329, wherein the module for receiving a request for specific image data that is part of the scene comprises:

And a module for receiving from the client device a request for specific image data that is part of the scene.

331. The method of claim 330, wherein the module for receiving a request for specific image data that is part of the scene from a client device comprises:

And a module for receiving from the client device a request for specific image data that is part of a scene configured to receive a request for specific image data that is part of the scene from the client device configured to display at least a portion of the scene.

332. The method of claim 331, wherein the module for receiving a request for specific image data that is part of the scene from a client device comprises:

And a module for receiving from the client device a request for specific image data that is part of the scene configured to receive a request for specific image data that is part of a scene from a client device configured to display at least a portion of the scene in a viewfinder Device.

333. The method of claim 330, wherein the module for receiving a request for specific image data that is part of the scene from a client device comprises:

And a module for receiving from the client device a request for specific image data that is part of the scene, configured to receive a request for specific image data from a client device configured to obtain a selection of a particular image.

[0323] 334. The method of 333, wherein the module for receiving a request for specific image data from the client device, the request for specific image data being part of the scene, configured to receive a request for specific image data from a client device configured to obtain a selection of the particular image,

Including a module for receiving a request for specific image data from a client device configured to obtain a selection of a particular image based on a view of the screen, the request for specific image data being part of the scene / RTI >

335. The method of claim 333, wherein the module for receiving from the client device a request for specific image data that is part of the scene, configured to receive a request for specific image data from a client device configured to obtain a selection of the particular image,

A module for receiving a request for specific image data that is part of a scene from one or more various devices configured to receive a screen-based selection of the particular image, wherein the one or more various devices include a smartphone, a television, a computer screen, , A consumer electronics device, and an augmented reality device.

336. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

A module for obtaining a request for specific image data that is part of a scene, the scene comprising image data collected by an array of two or more image sensors.

337. The method of embodiment 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

A module for obtaining a request for specific image data that is part of a particular scene, wherein the requesting specific scene is a representation of image data collected by an array of two or more image sensors.

338. The method of embodiment 337, wherein the module for obtaining a request for specific image data that is part of the particular scene comprises:

And a module for obtaining a request for specific image data that is part of a particular scene, wherein the requesting particular scene is sampling of image data collected by an array of two or more image sensors.

339. The method of embodiment 337, wherein the module for obtaining a request for specific image data that is part of the particular scene comprises:

A module for obtaining a request for specific image data that is part of a particular scene, the requesting specific scene being a subset of image data collected by an array of two or more image sensors.

340. The method of claim 337, wherein the module for obtaining a request for specific image data that is part of the particular scene comprises:

A module for obtaining a request for specific image data that is part of a particular scene, wherein the requesting specific scene is a lower resolution version of the image data collected by the array of two or more image sensors.

341. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

And a module for obtaining a request for specific image data that is part of a scene being a football game.

342. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

And a module for obtaining a request for specific image data that is part of a scene that is a distance view of an area.

343. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

And a module for obtaining a request for specific image data that is part of a scenery that is a tourist destination.

344. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

And a module for obtaining a request for specific image data that is part of a scene that is internal to the house.

345. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

A module for obtaining a request for specific image data, the specific image data being an image of a portion of a scene.

346. The method of claim 345, wherein the module for obtaining a request for the particular image data, wherein the particular image data is an image of a portion of the scene,

And a module for obtaining a request for specific image data of a scene, wherein the particular image data includes image data of a particular football player and the scene is a football field.

347. The method of claim 345, wherein the module for obtaining a request for the particular image data, wherein the particular image data is an image of a portion of the scene,

A module for obtaining a request for specific image data of a scene, wherein the particular image data comprises image data of a license plate and the scene is a highway bridge.

348. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

A module for obtaining a request for a particular image object located in the scene;

And a module for determining specific image data of a scene containing the specific image object.

349. The method of claim 348, wherein the module for obtaining a request for a particular image object located within the scene comprises:

And a module for obtaining a request for a particular person located in the scene.

350. The method of claim 348, wherein the module for obtaining a request for a particular image object located in the scene comprises:

And a module for obtaining a request for a basketball object located in the scene, wherein the scene is a basketball court.

351. The method of claim 348, wherein the module for obtaining a request for a particular image object located in the scene comprises:

And a module for obtaining a request for a particular car located in the scene.

352. The method of claim 348, wherein the module for obtaining a request for a particular image object located in the scene comprises:

And a module for obtaining a request for a human object representation located in the scene.

353. The method of clause 348, wherein the module for determining specific image data of a scene containing the specific image object comprises:

And a module for determining specific image data of a scene containing the specific image object, the specific image data being configured to determine specific image data of a scene containing the specific image object by applying automatic pattern recognition to the scene image data.

354. The method of claim 348, wherein the module for determining specific image data of a scene containing the specific image object comprises:

A specific image of a scene containing the specific image object, configured to determine specific image data of a scene containing the specific image object by identifying a specific image object in previous scene data that is image data of the scene from at least one previous point in time And a module for determining data.

355. The method of 348, wherein the module for determining specific image data of a scene containing the specific image object comprises:

And a module for determining specific image data of a scene containing the specific image object, the specific image data being configured to determine specific image data of a scene containing the specific image object by identifying a specific image object in the cached scene data.

356. The method of 355, further comprising: determining specific image data of a scene containing the particular image object, the particular image data being configured to determine specific image data of a scene containing the particular image object by identifying a particular image object in the cached scene data The module,

The method comprising: determining a particular image data of a scene containing the particular image object by identifying a particular image object in cached scene data previously transmitted from an image sensor array containing two or more image sensors, And a module for determining specific image data of the image.

357. The method as defined in 355, further comprising: determining specific image data of a scene containing the particular image object, the particular image data being configured to determine specific image data of a scene containing the particular image object by identifying a particular image object in the cached scene data The module,

Identifying a particular image object in cached scene data previously transmitted from an image sensor array comprising two or more image sensors when the bandwidth is available for connection to an image sensor array comprising two or more image sensors, And determining a particular image data of a scene that includes the particular image object.

358. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

A module for receiving a first request for a first specific image data from a first requester;

And a module for receiving a second request for a first specific image data from another second requester, wherein the second requester is different from the first requester.

359. The method of clause 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

And to combine a received first request for first specific image data from the scene and a second received request for second specific image data from the scene, And a module for combining requests.

360. The apparatus of claim 359, further configured to combine a received first request for first specific image data from the scene and a received second request for second specific image data from the scene, The module coupling the received request with the second received request,

As a request for specific image data incorporating requested image data that overlaps the received first request for the first specific image data from the scene and the received second request for the second specific image data from the scene And a module for combining the first received request and the second received request.

361. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

A module for receiving a first request for the first specific image data and a second request for the second specific image data;

And to combine the received first request and the received second request into a request for specific image data, the module combining the received first request and the received second request.

362. The method of clause 361, wherein the module is configured to combine the received first request and the received second request into a request for specific image data, wherein the module combines the received first request with the received second request ,

And a module for deleting the replica of the common pixel of the received first request and the received second request, configured to remove common pixel data between the received first request and the received second request, .

363. The method of clause 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

And a module for obtaining a request for specific video data that is part of the scene.

364. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

A module for obtaining a request for specific image data that is part of the scene, the module for obtaining a request for specific image data that is part of the scene, the specific image data being audio data.

365. The method of claim 327, wherein the module for obtaining a request for specific image data that is part of the scene comprises:

Receive a request for specific image data that is part of the scene from a user device that receives a request for specific image data via an audio interface from an audio enabled user device A device comprising a module.

366. The method according to clause 365, wherein the request for specific image data that is part of the scene is configured to obtain a request for specific image data that is part of the scene from a user device that receives a request for specific image data via an audio interface, The module receiving from the active user equipment,

A request for specific image data that is part of the scene configured to obtain a request for specific image data that is part of the scene from a user device having a microphone that receives a spoken request for specific image data from the user, And a module for receiving from the device.

367. The method of clause 327, wherein the image sensor array is configured to send the request to an image sensor array that includes two or more image sensors and is configured to capture a scene that is larger than the specific image data requested, The module sending the request,

A request for the particular image data to the image sensor array configured to send a request for the particular image data of a scene to an image sensor array that includes two or more image sensors and is configured to capture an image larger than the requested image data, And a module for transmitting the data.

368. The method of clause 327, wherein the image sensor array is configured to send the request to an image sensor array that includes two or more image sensors and is configured to capture a scene that is larger than the specific image data requested, The module sending the request,

Comprising a module for sending a request for the particular image data to the image sensor array, the module comprising two angular image sensors and configured to send the request to an image sensor array configured to capture a scene larger than the specific image data requested Device.

369. The method of clause 327, wherein the image sensor array is configured to send the request to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested, The module sending the request,

The image sensor array being configured to transmit a request for the particular image data of a scene to an image sensor array that includes an array of image sensors arranged in a grid and is configured to capture an image larger than the requested image data, Lt; RTI ID = 0.0 > a < / RTI >

370. The method of embodiment 327, wherein the image sensor array is configured to send the request to an image sensor array that includes two or more image sensors and is configured to capture a scene that is larger than the specific image data requested, The module sending the request,

And to send a request for the particular image data of the scene to an image sensor array that is configured to capture an image larger than the requested image data, the image sensor array comprising an array of image sensors arranged in a line such that the field of view is greater than 120 degrees. And a module for sending a request for the specific image data to the image sensor array.

371. The method of embodiment 327, wherein the image sensor array is configured to send the request to an image sensor array that includes two or more image sensors and is configured to capture a scene that is larger than the specific image data requested, The module sending the request,

A request for the particular image data to the image sensor array, the request for the particular image data being configured to include an array of fixed image sensors and to send a request for the particular image data of the scene to an image sensor array configured to capture an image larger than the requested image data, And a module for transmitting the data.

372. The method of embodiment 327, wherein the image sensor array is configured to send the request to an image sensor array that includes two or more image sensors and is configured to capture a scene that is larger than the specific image data requested, The module sending the request,

The image sensor array being configured to send a request for the particular image data of a scene to an image sensor array that includes an array of static image sensors and is configured to capture an image larger than the requested image data, And a module for transmitting the data.

373. The method of clause 372, configured to send a request for the particular image data of a scene to an image sensor array comprising an array of static image sensors and configured to capture an image larger than the requested image data, The module for transmitting a request for the specific image data,

The image sensor array comprising an array of image sensors having a fixed focal length and a fixed field of view and configured to transmit a request for the particular image data of a scene to an image sensor array configured to capture an image larger than the requested image data, And a module for sending a request for the specific image data.

374. The method of embodiment 327, wherein the image sensor array is configured to send the request to an image sensor array that includes two or more image sensors and is configured to capture a scene that is larger than the specific image data requested, The module sending the request,

Configured to send a request for the particular image data of a scene to an image sensor array that includes an array of image sensors installed in a movable platform and configured to capture a scene larger than the requested image data, Lt; RTI ID = 0.0 > a < / RTI >

375. The method of embodiment 327, wherein the image sensor array is configured to send the request to an image sensor array that includes two or more image sensors and is configured to capture a scene that is larger than the specific image data requested, The module sending the request,

Configured to send a request for the particular image data of a scene to an image sensor array that includes two or more image sensors and is configured to capture a scene displaying more image data than the specific image data requested, And a module for sending a request for specific image data.

376. The method of 375, further comprising transmitting the request for the particular image data of the scene to an image sensor array configured to capture a scene containing the at least two image sensors and displaying more image data than the requested specific image data A module for sending a request for the specific image data to the image sensor array,

Configured to transmit a request for the particular image data of a scene to an image sensor array that is configured to capture a scene that includes at least two image sensors and displays at least ten times as many image data as the specific image data requested, And a module for sending a request for the particular image data to the array.

377. The method as set forth in clause 375, further comprising transmitting the request for the particular image data of the scene to an image sensor array configured to capture a scene containing the at least two image sensors and displaying more image data than the requested specific image data A module for sending a request for the specific image data to the image sensor array,

Configured to transmit a request for the particular image data of a scene to an image sensor array that is configured to capture a scene that includes two or more image sensors and that displays more than 100 times as many image data as the requested specific image data, And a module for sending a request for the particular image data to the array.

378. The method of clause 327, wherein the image sensor array is configured to send the request to an image sensor array that includes two or more image sensors and is configured to capture a scene that is larger than the specific image data requested, The module sending the request,

And a module for sending a request for the particular image data to an image sensor array configured to capture a scene displaying a larger field of view than the specific image data requested.

379. The method of embodiment 327, wherein the image sensor array is configured to send the request to an image sensor array that includes two or more image sensors and is configured to capture a scene that is larger than the specific image data requested, The module sending the request,

A module for modifying a request for the specific image data;

Configured to send a modified request for the particular image data to an image sensor array that includes two or more image sensors and is configured to capture a scene larger than the specific image data requested, And a module for sending the modified request.

380. The method of claim 379, wherein the module for modifying the request for the particular image data comprises:

And remove the specified image data from the request for the specific image data, wherein the module is configured to remove designated image data from a request for the particular image data.

381. The method of 380, wherein the module for removing designated image data from a request for the specific image data, configured to remove designated image data from a request for the particular image data,

And a module for removing designated image data from a request for the particular image data, configured to remove designated image data from a request for the particular image data based on pre-stored image data.

382. The method of 381, wherein the module for removing designated image data from a request for the particular image data is configured to remove designated image data from a request for the particular image data based on the pre-

And a module for removing designated image data from a request for the particular image data, configured to remove designated image data from a request for the particular image data based on pre-stored image data retrieved from the image sensor array.

383. 381. The module for removing designated image data from a request for the specific image data, the module configured to remove designated image data from a request for the particular image data based on the pre-stored image data,

And a module for removing designated image data from the request for the specific image data, configured to remove designated image data from a request for the specific image data based on the pre-stored image data that is an early version of the designated image data / RTI >

384. 383. The system of claim 383, further comprising: a processor configured to remove designated image data from a request for the particular image data based on the pre-stored image data that is an early version of the specified image data, The module,

Configured to remove image data of one or more static objects from a request for specific image data that is a view of the distance based on previously stored image data of one or more static objects from an early version captured by the image sensor array, And removing the specified image data from the request for the specified image data.

385. The method of 384, further comprising: removing image data of one or more static objects from a request for specific image data that is a view of the distance, based on pre-stored image data of one or more static objects from an early version captured by the image sensor array A module for removing designated image data from a request for the specific image data,

From a request for specific image data of one or more static objects from a request for specific image data that is a view of the distance, based on previously stored image data of one or more static objects from an early version captured by the image sensor array And a module for removing designated image data from a request for the particular image data, the module configured to remove image data.

386. The method of claim 379, wherein the module for modifying the request for the particular image data comprises:

And a module for removing image data from the request for the particular image data, the module configured to remove a portion of the request for the particular image data through pixel interpolation or extrapolation of a portion of the request for the particular image data.

387. The method of claim 386, further comprising: removing image data from the request for the particular image data, configured to remove a portion of the request for the particular image data through pixel interpolation or extrapolation of a portion of the request for the particular image data The module,

And removing the static object from the request for the particular image data, configured to remove one or more static objects from the request for the particular image data through pixel interpolation of a portion of the request for the particular image data. .

388. The method of claim 379, wherein the module for modifying the request for the particular image data comprises:

A module for identifying a portion of a request for the particular image data already stored in the memory, the module being configured to identify at least a portion of a request for the particular image data already stored in memory;

And remove the identified portion of the request for the particular image data, configured to remove an identified portion of the request for the particular image data.

389. The method of clause 388, wherein the module for identifying a portion of a request for the particular image data already stored in the memory, the module for identifying at least a portion of a request for the particular image data already stored in the memory,

And a module for identifying a portion of a request for the particular image data already stored in the memory, the module being configured to identify at least a portion of a request for the particular image data pre-captured by the image sensor array.

390. The module of 388, wherein the module for identifying a portion of the request for the particular image data already stored in the memory, the module for identifying at least a portion of the request for the particular image data already stored in the memory,

And a module for identifying a portion of a request for the particular image data already stored in the memory, the module being configured to identify one or more static objects of a request for the specific image data pre-captured by the image sensor array.

391. The method of 390 wherein identifying a portion of a request for the particular image data already stored in the memory, configured to identify one or more static objects of a request for the particular image data pre-captured by the image sensor array The module,

A module for identifying a portion of a request for the particular image data already stored in the memory, the module being configured to identify one or more natural rock-stamping stations of a request for the specific image data pre-captured by the image sensor array .

392. The method of embodiment 327, wherein the image sensor array is configured to send the request to an image sensor array that includes the at least two image sensors and is configured to capture a scene that is larger than the specific image data requested, A module for sending a request for,

A module for determining a size of a request for the specific image data;

And sending a request of the determined size for the particular image data to the image sensor array configured to send a request for the specific image data of which the size has been determined to the image sensor array configured to capture the scene Device.

393. The method of claim 392, wherein the module for determining the size of the request for the particular image data comprises:

A module for determining a size of a request for the particular image data, the module configured to determine a size of a request for the particular image data based at least in part on attributes of a user device requesting at least a portion of the particular image data Device.

394. The method of embodiment 393, further comprising: determining a size of a request for the particular image data, the size of the request for the particular image data being configured to determine a size of a request for the particular image data based at least in part on attributes of the user device requesting the at least a portion of the particular image data. The module to determine,

And determine a size of a request for the particular image data based at least in part on a resolution of the user device that requested the particular image data.

395. The method of clause 392, wherein the module for determining the size of the request for the particular image data comprises:

A module for determining a size of a request for the particular image data, the module configured to determine a size of a request for the particular image data based at least in part on a device access level of the user device requesting at least a portion of the particular image data Device.

396. The method of claim 392, wherein the module for determining the size of the request for the particular image data comprises:

And determine a size of a request for the particular image data based at least in part on an amount of available bandwidth for communicating with the image sensor array.

397. The method of claim 392, wherein the module for determining the size of the request for the particular image data comprises:

Determine a size of a request for the particular image data, the request being configured to determine a size of a request for the particular image data based at least in part on an amount of time the requesting user device requested the image data at least a portion of the particular image data. Gt; a < / RTI > module.

398. The method of claim 392, wherein the module for determining the size of the request for the particular image data comprises:

Determining a size of a request for the particular image data based at least in part on an amount of available bandwidth for communicating with the user device requesting at least a portion of the particular image data; A device comprising a module.

399. The method of clause 327, wherein the module for exclusively receiving the specific image data from the image sensor array comprises:

And a module for exclusively receiving the specific image data from the image sensor array, wherein the specific image data is configured to receive only the specific image data from the image sensor array, wherein data from the scene other than the specific image data is discarded.

400. The method of claim 327, wherein the module for exclusively receiving the specific image data from the image sensor array comprises:

And a module for exclusively receiving the specific image data from the image sensor array, the data from a scene other than the specific image data being stored in the image sensor array Device.

401. The method of claim 327, wherein the module for exclusively receiving the specific image data from the image sensor array comprises:

And a module for receiving said specific image data exclusively from said image sensor array in near real time, configured to receive said specific image data from said image sensor array in near real time.

402. The method of claim 327, wherein the module for exclusively receiving the specific image data from the image sensor array comprises:

A module for receiving said specific image data exclusively from said image sensor array in near real time, configured to receive said specific image data from said image sensor array in near real time;

And a module for later retrieving data from a scene that is not the specific image data, configured to retrieve data from a scene that is not the specific image data at a later time.

403. In a module 402 for later retrieving data from a scene other than the specific image data, configured to retrieve data from a scene other than the specific image data at a later time,

And to retrieve data from a scene that is not the particular image data, configured to retrieve data from a scene other than the specific image data when the bandwidth is available to the image sensor array.

404. The module for later retrieving data from a scene that is not the specific image data, configured to retrieve data from a scene other than the specific image data at a later time,

And a module for later retrieving data from a scene that is not the specific image data, configured to retrieve data from a scene other than the specific image data when displaying off peak usage of the image sensor array.

405. In a module for later retrieving data from a scene other than the particular image data, configured to retrieve data from a scene other than the specific image data at a later time,

And to retrieve data from a scene that is not the particular image data when the specific image data is not requested.

406. The module for later retrieving data from a scene that is not the particular image data, configured to retrieve data from a scene other than the specific image data at a later time,

To retrieve data from a scene that is not the particular image data, configured to retrieve data from a scene other than the specific image data when the image sensor array requests a smaller number of users than the one having the capacity, Gt; a < / RTI > module.

407. The method of embodiment 327, wherein the module for exclusively receiving the specific image data from the image sensor array comprises:

And a module for exclusively receiving the specific image data, including audio data, from the image sensor array, configured to receive only the specific image data including audio data from the sensor array.

408. The method of embodiment 327, wherein the module for exclusively receiving the specific image data from the image sensor array comprises:

The method comprising: receiving from the image sensor array only specific image data determined to contain a specific requested image object; exclusively receiving from the image sensor array specific image data determined to contain the particular requested image object; A device comprising a module.

409. The method of 408, further comprising: receiving the specific image data determined to contain the specific requested image object, the specific image data being configured to receive from the image sensor array only the specific image data determined to contain the particular requested image object A module exclusively receiving from the image sensor array,

Wherein the particular image data determined to contain the particular requested image object is configured to be received exclusively from the image sensor array and configured to receive only the specific image data determined to contain a particular requested image object And a receiving module.

410. The method of claim 327, wherein the module for transmitting the received specific image data to at least one requester comprises:

And a module for transmitting the received specific image data to at least one user device requestor.

411. The method of claim 410, wherein the module for transmitting the received specific image data to at least one user device requestor comprises:

And a module for transmitting at least a portion of the received specific image data to the user device requesting the specific image data.

412. The method of claim 327, wherein the module for transmitting the received specific image data to at least one requester comprises:

A module for separating the received specific image data into a set of one or more requested images, the module for separating the received specific image data into a set of one or more requested images;

And a module for sending at least one image of the set of one or more requested images to a specific requester configured to send at least one image of the set of one or more requested images to the specific requestor requesting the at least one image Device.

413. The method of 414, wherein the module for separating the received specific image data into a set of one or more requested images, configured to separate the received specific image data into a set of one or more requested images,

And separating the received specific image data into a first requested image and a second requested image, configured to separate the received specific image data into a first requested image and a second requested image Gt; a < / RTI > module.

414. The method of claim 327, wherein the module for transmitting the received specific image data to at least one requester comprises:

And to transmit the received specific image data to a requesting user device for an image that is part of the received specific image data.

415. The method of claim 327, wherein the module for transmitting the received specific image data to at least one requester comprises:

A module for transmitting a first portion of the received specific image data to a first requester;

And a module for sending a second portion of the received specific image data to a second requestor.

416. The method of claim 415, wherein the module for transmitting the first portion of the received specific image data to the first requester comprises:

And to send a first portion of the received specific image data to a first requester requesting a first portion of the received specific image data, And a module for sending to the requester.

417. The method of claim 416, further comprising: transmitting a first portion of the received specific image data to a first requester requesting a first portion of the received specific image data, The module for transmitting the first part to the requesting first requester,

Configured to display an image containing a particular football player and to transmit the image containing the particular football player to the requesting television device, the first portion of the received particular image data being sent to the first requestor Gt; a < / RTI > module.

418. The method of claim 415, wherein the module for transmitting the second portion of the received specific image data to a second requestor comprises:

And to send a second portion of the received specific image data to a second requestor requesting a second portion of the received specific image data, And a module for sending to the requester.

419. The method of claim 418, further comprising: transmitting a second portion of the received specific image data to a second requestor requesting a second portion of the received specific image data, The module for sending the second part to the requesting second requester,

A module for sending a second portion of the received specific image data to a second requestor requesting the second portion, configured to send an image containing a view of the car to a tablet device requesting a Street View image of a particular corner of the city .

420. The method of claim 327, wherein the module for transmitting the received specific image data to at least one requester comprises:

And a module for transmitting to the at least one requestor the received specific image data that has not been modified, the at least one requestor being configured to transmit at least one portion of the received specific image data without modification to at least one requestor.

421. The method of claim 327, wherein the module for transmitting the received specific image data to at least one requester comprises:

A module adapted to add supplementary data to at least a portion of the received specific image data to generate transmitted image data;

And a module for sending the generated transfer image data to at least one requestor, the transfer image data being configured to transfer the generated transfer image data to at least one requester.

422. The method of 421, wherein the module is adapted to add supplementary data to at least a portion of the received specific image data to generate the transmitted image data, silver,

And a module for facilitating the addition of advertisement data to at least a portion of the received specific image data to generate transmitted image data.

423. The method of 422, wherein the module for facilitating adding the advertisement data to at least a portion of the received specific image data to generate the transmitted image data comprises:

Based advertisement data based at least in part on the received specific image data to at least a portion of the received specific image data, wherein the context-based advertising data is based on at least a portion of the received specific image data to generate transmitted image data. And a module for facilitating data addition.

424. The method of claim 423, further comprising: adding context-based advertisement data based at least in part on the received specific image data to at least a portion of the received specific image data, A module that facilitates adding the context-based advertisement data to at least a portion of the context-

To add animal rights contribution advertisement data based at least in part on received specific image data of a tiger in a jungle oasis to specific image data of a tiger received in a jungle oasis, And a module that facilitates adding context-based advertisement data to at least a portion of the device.

425. The method of embodiment 421, further comprising: a module that facilitates adding the supplemental data to at least a portion of the received specific image data, the supplemental data being adapted to add supplemental data to at least a portion of the received specific image data to generate the transmitted image data; silver,

At least a portion of the received specific image data is configured to add associated visual data relating to the received particular image data to at least a portion of the received specific image data to generate transmitted image data. And a module for facilitating the addition of related visual data.

426. The method of embodiment 425, further comprising: adding associated visual data relating to the received specific image data to at least a portion of the received specific image data to generate the transmitted image data; A module that facilitates adding the associated visual data to at least a portion of the specific image data,

And to add fancy football statistics data to the received specific image data of a football quarterback appearing in the received specific image data of the quarterback in a football game to generate transmitted image data, And a module for facilitating the addition of related visual data to at least a portion of the device.

427. The method of claim 327, wherein the module for transmitting the received specific image data to at least one requester comprises:

A module for modifying data of a portion of the received specific image data to generate transmitted image data; a module for facilitating modification of the received specific image data to generate transmitted image data;

And a module for sending the generated transfer image data to at least one requestor, the transfer image data being configured to transfer the generated transfer image data to at least one requester.

428. The method of embodiment 427, further comprising: modifying data of a portion of the received specific image data to generate the transmitted image data; facilitating modification of a portion of the received specific image data to generate the transmitted image data; The module,

And a module for facilitating image manipulation modification of a portion of the received particular image data to generate transmit image data.

429. The method of 428, wherein the module for facilitating image manipulation modification of a portion of the received specific image data to generate the transmitted image data comprises:

And a module for facilitating contrast enhancement modification of a portion of the received specific image data to generate transmit image data.

430. The method of 428, wherein the module for facilitating image manipulation modification of a portion of the received specific image data to generate the transmitted image data comprises:

And a module for facilitating color correction harmonization of a portion of the received specific image data to generate transmitted image data.

431. The method of embodiment 427, further comprising: modifying data of a portion of the received specific image data to generate the transmitted image data; facilitating modification of a portion of the received specific image data to generate the transmitted image data; The module,

And a module for facilitating calibration of the received specific image data to generate transmitted image data.

432. The method of 431, wherein the module for facilitating the calibration of the received specific image data to generate the transmitted image data comprises:

And a module adapted to calibrate at least a portion of the received specific image data based on a requestor's security permission level, the module facilitating the calibration of the received particular image data to generate the transmitted image data.

433. The method of clause 432, further comprising: a module adapted to calibrate at least a portion of the received specific image data based on the requestor ' s security permission level, the module for facilitating the calibration of the received particular image data to generate the transmitted image data silver,

To calibrate the tank from the received specific image data, including a satellite image comprising a military base, based on an insufficient security clearance level of the device requesting the specific image data; And a module for facilitating calibration of specific image data.

434. The method of claim 327, wherein the module for transmitting the received specific image data to at least one requester comprises:

A module for sending a low-resolution version of the received specific image data to the at least one requestor, the module being configured to send a low-resolution version of the received specific image data to the at least one requester;

And a module for sending an inheritable version of the received specific image data to the at least one requester configured to forward an inheritable version of the received specific image data to the at least one supplicant.

435. At least one general purpose integrated circuit configured to receive instructions for configuring as a module for obtaining a request for specific image data that is part of a scene at one or more first specific times;

Configured to send the request to an image sensor array that includes two or more image sensors at one or more second specific times and is configured to capture a scene larger than the requested specific image data, At least one general purpose integrated circuit configured to receive an instruction to configure as a module for transmitting a request;

One or more general purpose integrated circuits configured to receive instructions to configure the particular image data as a module exclusively receiving from the image sensor array at one or more third specific times;

And one or more general purpose integrated circuits configured to receive instructions for configuring the received specific image data as a module for transmitting to the at least one requester at one or more fourth specific time.

436. The apparatus of 435 wherein said at least one second specified time occurs after said at least one third specified time, said at least one fourth specific time, and said at least one first specified time.

437. An integrated circuit configured to intend itself as a module for obtaining a request for specific image data that is part of a scene at a first time;

Send a request for the particular image data to the image sensor array configured to transmit the request to an image sensor array that includes two or more image sensors at a second time and is configured to capture a scene larger than the requested specific image data An integrated circuit configured to intend itself as a module to perform the function;

An integrated circuit configured to designate itself as a module for exclusively receiving the specific image data from the image sensor array at a third time;

And to designate itself as a module for transmitting the received particular image data to the at least one requester at a fourth time.

438. One or more programmable hardware components programmed to function as a module for obtaining a request for specific image data that is part of a scene;

Configured to send the request to an image sensor array that includes two or more image sensors and is configured to capture a scene that is larger than the specific image data requested, as a module for sending a request for the particular image data to the image sensor array ≪ / RTI >

One or more programmable hardware components programmed to function as a module for exclusively receiving the specific image data from the image sensor array;

And one or more programmable hardware components programmed to function as a module for transmitting the received specific image data to at least one requester.

It will be apparent to those skilled in the art that the foregoing specific exemplary process and / or apparatus and / or techniques may be implemented in a more general process as taught elsewhere herein, such as in the claims appended hereto and / And / or < / RTI > apparatus and / or technology.

Claims (20)

In the apparatus,
A module for obtaining a request for specific image data that is part of a scene;
A module for sending a request for the particular image data to the image sensor array, the module being configured to send the request to an image sensor array comprising two or more image sensors and configured to capture a scene larger than the specific image data requested; ;
A module for exclusively receiving the specific image data from the image sensor array;
A module for transmitting the received specific image data to at least one requestor
/ RTI > The method according to claim 1,
Wherein the module for obtaining a request for specific image data that is part of the scene comprises a module that is part of a scene and obtains a request for specific image data that includes one or more images. The method according to claim 1,
Wherein the module for obtaining a request for specific image data that is part of the scene comprises a module for receiving a request for specific image data that is part of a scene. The method of claim 3,
Wherein the module for receiving a request for specific image data that is part of the scene comprises a module for receiving from the client device a request for specific image data that is part of a scene. 5. The method of claim 4,
A module for receiving a request for specific image data that is part of the scene from a client device,
And a module for receiving from the client device a request for specific image data that is part of a scene configured to receive a request for specific image data that is part of a scene from the client device configured to display at least a portion of the scene. . 6. The method of claim 5,
A module for receiving a request for specific image data that is part of the scene from a client device,
Receiving from the client device a request for specific image data that is part of the scene, the module being configured to receive a request for specific image data that is part of a scene from a client device configured to display at least a portion of the scene in a viewfinder Device. 5. The method of claim 4,
A module for receiving a request for specific image data that is part of the scene from a client device,
A module for receiving a request for specific image data from a client device configured to obtain a selection of a particular image, the request for specific image data being part of the scene,
. ≪ / RTI > 8. The method of claim 7,
A module for receiving from the client device a request for specific image data that is part of the scene, configured to receive a request for specific image data from a client device configured to obtain a selection of the particular image,
A module for receiving a request for specific image data from a client device configured to obtain a selection of a specific image based on a view of the screen, the request for specific image data being part of the scene; Device. 8. The method of claim 7,
A module for receiving a request for specific image data from a client device configured to obtain a selection of the particular image, the request for specific image data being part of the scene,
A module for receiving a request for specific image data that is part of a scene from one or more various devices configured to receive a screen-based selection of the particular image, wherein the one or more diverse devices are smartphones, televisions, computer screens, tablets, , A home appliance, and an augmented reality device. The method according to claim 1,
A module for obtaining a request for specific image data that is part of the scene includes a module for obtaining a request for specific image data that is part of a scene,
Wherein the scene comprises image data collected by an array of two or more image sensors. The method according to claim 1,
A module for obtaining a request for specific image data that is part of the scene includes a module for obtaining a request for specific image data that is part of a particular scene,
Wherein the requesting specific scene is a representation of image data collected by an array of two or more image sensors. 12. The method of claim 11,
A module for obtaining a request for specific image data that is part of the specific scene includes a module for obtaining a request for specific image data that is part of a specific scene,
Wherein the requesting specific scene is a sampling of image data collected by an array of two or more image sensors. 12. The method of claim 11,
A module for obtaining a request for specific image data that is part of the specific scene includes a module for obtaining a request for specific image data that is part of a specific scene,
Wherein the requesting specific scene is a subset of image data collected by an array of two or more image sensors. 12. The method of claim 11,
A module for obtaining a request for specific image data that is part of the specific scene includes a module for obtaining a request for specific image data that is part of a specific scene,
Wherein the requesting specific scene is a low-resolution version of the image data collected by the array of two or more image sensors. The method according to claim 1,
Wherein the module for obtaining a request for specific image data that is part of the scene comprises a module for obtaining a request for specific image data that is part of a scene being a football game. The method according to claim 1,
Wherein the module for obtaining a request for specific image data that is part of the scene comprises a module for obtaining a request for specific image data that is part of a scene that is a distance view of a region. The method according to claim 1,
Wherein the module for obtaining a request for specific image data that is part of the scene comprises a module for obtaining a request for specific image data that is part of a scene being a sightseeing spot. The method according to claim 1,
Wherein the module for obtaining a request for specific image data that is part of the scene comprises a module for obtaining a request for specific image data that is part of a scene that is internal to the house. The method according to claim 1,
Wherein the module for obtaining a request for specific image data that is part of the scene comprises a module for obtaining a request for specific image data that is an image of a portion of the scene. 20. The method of claim 19,
A module for obtaining a request for specific image data that is an image of a portion of the scene includes a module for obtaining a request for specific image data of a scene comprising image data of a particular football player,
Wherein the scene is a football field.

Images