WO2018122959A1 - Système d'identification de cadreur, procédé d'identification de cadreur, et programme - Google Patents

Système d'identification de cadreur, procédé d'identification de cadreur, et programme Download PDF

Info

Publication number
WO2018122959A1
WO2018122959A1 PCT/JP2016/088887 JP2016088887W WO2018122959A1 WO 2018122959 A1 WO2018122959 A1 WO 2018122959A1 JP 2016088887 W JP2016088887 W JP 2016088887W WO 2018122959 A1 WO2018122959 A1 WO 2018122959A1
Authority
WO
WIPO (PCT)
Prior art keywords
photographer
image
camera
stored
acquired
Prior art date
Application number
PCT/JP2016/088887
Other languages
English (en)
Japanese (ja)
Inventor
俊二 菅谷
Original Assignee
株式会社オプティム
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 株式会社オプティム filed Critical 株式会社オプティム
Priority to PCT/JP2016/088887 priority Critical patent/WO2018122959A1/fr
Publication of WO2018122959A1 publication Critical patent/WO2018122959A1/fr

Links

Classifications

    • G—PHYSICS
    • G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B15/00—Special procedures for taking photographs; Apparatus therefor
    • G—PHYSICS
    • G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B19/00—Cameras
    • G03B19/02—Still-picture cameras
    • G03B19/04—Roll-film cameras
    • G03B19/07—Roll-film cameras having more than one objective
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/76—Television signal recording
    • H04N5/91—Television signal processing therefor

Definitions

  • the present invention relates to a photographer identification system, a photographer identification method, and a program for identifying a photographer of an image photographed by a smart device.
  • Patent Document 1 is premised on classification based on operation input from a user, and there is a problem that a photographer cannot be identified without such user operation. Therefore, the inventor pays attention to the fact that recent smart devices are equipped with two cameras, an inner camera and an outer camera, and it is not possible to classify captured images using these cameras. I thought.
  • an object of the present invention is to provide a photographer identification system, a photographer identification method, and a program for identifying a photographer by simultaneously using an inner camera and an outer camera of a smart device.
  • the present invention provides the following solutions.
  • the invention according to the first aspect is a photographer identification system that identifies a photographer by simultaneously using an inner camera and an outer camera of a smart device, and is an inner image that acquires an inner image captured by the inner camera.
  • a photographer identification system comprising: a photographer identification unit for identifying; a storage unit for storing the acquired outside image and the identified photographer in association with each other.
  • the invention according to the first aspect is a photographer identification method for identifying a photographer by simultaneously using an inner camera and an outer camera of a smart device, and an inner image for acquiring an inner image photographed by the inner camera An acquisition step; an outer image acquisition step of acquiring an outer image taken by the outer camera; an image analysis step of analyzing the acquired inner image; and the photographer based on the result of the image analysis.
  • a photographer specifying method comprising a photographer specifying step for specifying, a storing step for storing the acquired outside image and the specified photographer in association with each other.
  • the invention according to the first feature is an inner image acquisition step of acquiring an inner image taken by the inner camera by simultaneously using the inner camera and the outer camera of the smart device in the computer, and taken by the outer camera.
  • An outer image acquisition step for acquiring an outer image an image analysis step for image analysis of the acquired inner image, a photographer specifying step for specifying the photographer based on the result of the image analysis, and the acquired outer image
  • the photographer when classifying images taken by a camera, the photographer is identified by using two cameras without any input from the user, and the resulting image is automatically classified. It becomes possible to do.
  • the photographer identification system of the present invention is a system for identifying a photographer by using an inner camera and an outer camera of a smart device at the same time.
  • the smart device may be a device having a camera function such as a digital camera, a smartphone, a tablet, and a smart glass or a wearable terminal.
  • a smart device is configured by a flat surface (six surfaces) and includes a display display unit that displays an image on the surface, and the back side of the surface is the back surface.
  • the camera installed on the front surface is the inner camera (the direction of the photographer), and the camera installed on the back surface is the outer camera (the direction in which the object to be photographed is photographed, opposite to the photographer). To do.
  • the photographer identification system includes an inner image acquisition unit, an outer image acquisition unit, an image analysis unit, a photographer identification unit, and a storage unit that are realized by a control unit reading a predetermined program.
  • an embedding unit, an information display unit, an authentication unit, a signature reception unit, a signature display unit, and a copyright management unit may be provided. These may be realized by an application installed on a smart device or a network partially realized by a computer via a network (may be a cloud type in which two or more means are realized by another computer). May be.
  • Each means described above may be realized by a single computer or may be realized by two or more computers (for example, a server and a terminal).
  • the inner image acquisition means acquires the inner image taken by the inner camera facing inward (the direction of the photographer).
  • the inner image is a still image or a moving image captured by the photographer. It is assumed that the inner image and the outer image are taken simultaneously. That is, it is desirable that both the inner and outer images are taken with one shooting shutter button.
  • the acquisition may be that the smart device itself acquires an image captured by the smart device camera, or that another computer acquires an image acquired by the smart device via a network. May be.
  • the outer image acquisition means acquires an outer image captured by an outer camera facing outward (opposite to the photographer).
  • the outer image is a still image or a moving image taken by the photographer.
  • acquisition may mean that the smart device itself acquires an image taken by the smart device camera, or another computer acquires an image acquired by the smart device via a network. It may be.
  • the image analysis means performs image analysis by collating the acquired inner image with a predetermined image database (a database stored in the image processing apparatus or another computer may be referred to).
  • a predetermined image database a database stored in the image processing apparatus or another computer may be referred to.
  • the image may be identified by extracting features that stand out from the image captured by the photographer.
  • three-dimensional face recognition that attempts to achieve accuracy in consideration of invisible parts may also be used.
  • skin texture analysis may be used in which skin details are applied to face recognition.
  • iris (iris) recognition one of biometric authentication and pattern recognition for an image of the iris resolution of an individual's eyes
  • the image analysis means may identify the photographer from data obtained by learning a person name and an image as teacher data in advance. That is, the accuracy of image analysis may be increased by machine learning, deep learning, or the like using AI (artificial intelligence).
  • the photographer specifying means specifies the photographer based on the result of image analysis.
  • the algorithm for identifying the photographer may identify the photographer by collating with the face image database in which the photographer's face image is registered, or collating with the iris image database in which the iris image is registered.
  • the photographer may be specified.
  • These databases may be databases stored inside the smart device, or may be external databases stored in a computer to which the smart device is connected via a network.
  • the storage means temporarily stores the acquired outside image in association with the specified photographer's name and user ID. For example, it is stored as a correspondence table.
  • the embedding unit embeds the stored photographer information in the information (attribute information such as properties) of the photographed and stored outside image.
  • photographer data such as the photographer's name and user ID is embedded in the outer image data.
  • the photographer data can be read by reading the outside image data, so that the one-to-one correspondence between the outside image and the photographer is possible.
  • the photographer data may include additional data such as a photographer's organization and family in addition to the photographer's name and user ID. These additional data are stored in correspondence with the name and user ID of the photographer in a database stored in the smart device or a computer connected via a network. The photographer data is read.
  • the information display means displays the stored photographer information (photographer data) on the stored outer image.
  • the affiliated organization as additional data is displayed on the outer image.
  • information signature information
  • information that becomes a signature indicating the photographer of the image is displayed like a signature indicating the creator of the painting. Also good.
  • by displaying the signature information as a signature it is possible to clearly show the photographer to other people by showing who has taken the image as a signature.
  • the authentication unit authenticates the specified photographer based on the stored result. For example, as a result of authentication, the stored outer image is deleted when the authentication is not successful, and the stored outer image is maintained when the authentication is successful.
  • authentication may be performed by collating a face authentication list, an iris authentication list, or the like. These lists may be internal lists or external lists.
  • the signature accepting unit accepts a signature input from an authenticated photographer.
  • the signature display means displays the received signature on the stored outside image.
  • the photographer's signature is displayed on the image, like the signature of the creator of the painting. That is, displaying the signature makes it possible to clarify who has taken the image.
  • the copyright management means manages the copyright of the outer image based on the stored photographer data and additional data. Since the outside image and the specified photographer are stored in association with each other, when a user other than the specified photographer processes and edits the outside image, or performs copying, this processing / The editing software may issue a warning by comparing the photographer and user information. [Description of operation]
  • a smart device refers to a device having a camera function, such as a digital camera, a smartphone, a tablet, and a smart glass.
  • the photographer identification method includes an inner image acquisition step, an outer image acquisition step, an image analysis step, a photographer identification step, and a storage step. Further, it includes at least an embedding step, an information display step, an authentication step, a signature reception step, a signature display step, and a copyright management step.
  • an inner image captured by the inner camera facing inward (the direction of the photographer) is acquired.
  • the inner image is a still image or a moving image captured by the photographer.
  • an outer image captured by an outer camera facing outward is acquired.
  • the outer image is a still image or a moving image taken by the photographer.
  • the image analysis step analyzes the acquired inner image. Recognize the photographer through image analysis.
  • the image analysis algorithm may be identified by extracting features that stand out from the image captured by the photographer. Three-dimensional face recognition that attempts to achieve accuracy in consideration of invisible parts may also be used. Skin texture analysis may be used that applies skin appearance details to face recognition. In the case of smart glasses, iris recognition may be used. Any algorithm that can be recognized by image analysis is possible.
  • the photographer specifying step specifies the photographer based on the result of image analysis.
  • the specific algorithm may specify a photographer by comparing with a face image database in which face images are registered, or specify a photographer by comparing with an iris image database in which iris images are registered. Good.
  • These databases may be internal databases or external databases.
  • the acquired outside image and the specified photographer are stored in association with each other. For example, it is stored as a correspondence table.
  • the stored photographer information is embedded in the stored outside image information.
  • the photographer data is embedded in the outside image data. Since the photographer data can be read by reading the outside image data, the outside image and the photographer can be in one-to-one correspondence.
  • the photographer's information is combined with the stored (embedded) image in a visible state, and when the stored outer image is displayed, the photographer's information is also displayed. indicate. For example, when an image is displayed, the photographer's name and organization are also displayed on the outer image. Information such as a signature indicating the creator of the picture is displayed instead of the signature indicating the photographer of the image. That is, by displaying information that can be used instead of a signature, it is possible to clarify who has taken the image.
  • the identified photographer is authenticated based on the stored result. For example, as a result of authentication, the stored outer image is deleted when the authentication is not successful, and the stored outer image is maintained when the authentication is successful.
  • authentication may be performed by collating a face authentication list, an iris authentication list, or the like. These lists may be internal lists or external lists.
  • the signature acceptance step accepts an input of a signature from an authenticated photographer.
  • the received signature is displayed on the stored outer image.
  • the photographer's signature is displayed on the image, like the signature of the creator of the painting. That is, displaying the signature makes it possible to clarify who has taken the image.
  • the copyright of the outer image is managed based on the stored result. Since the outside image and the specified photographer are stored in association with each other, the copyright can be clearly managed. If a copyright infringement is found, it may have a function of warning a person who has infringed.
  • the means and functions described above are realized by a computer (including a CPU, an information processing apparatus, and various terminals) reading and executing a predetermined program.
  • the program may be, for example, an application installed on a computer, or may be in the form of SaaS (software as a service) provided from a computer via a network, for example, a flexible disk, a CD It may be provided in a form recorded on a computer-readable recording medium such as a CD-ROM (DVD-ROM, DVD-RAM, etc.).
  • the computer reads the program from the recording medium, transfers it to the internal storage device or the external storage device, stores it, and executes it.
  • the program may be recorded in advance in a storage device (recording medium) such as a magnetic disk, an optical disk, or a magneto-optical disk, and provided from the storage device to a computer via a communication line.
  • a nearest neighbor method such as the image analysis described above
  • a naive Bayes method such as the image analysis described above
  • a decision tree such as the image analysis described above
  • a support vector machine such as the support vector machine
  • deep learning may be used in which a characteristic amount for learning is generated by using a neural network.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Television Signal Processing For Recording (AREA)
  • Studio Devices (AREA)

Abstract

Selon l'invention, un cadreur est identifié par mise en œuvre simultanée d'une caméra côté interne et d'une caméra côté externe d'un appareil intelligent. Ainsi, l'invention concerne un système d'identification de cadreur qui identifie le cadreur par mise en œuvre simultanée de la caméra côté interne et de la caméra côté externe d'un appareil intelligent. Plus précisément, l'invention fournit un système d'identification de cadreur qui est équipé : d'un moyen d'acquisition d'image côté interne qui acquiert une image côté interne capturée par ladite caméra côté interne ; d'un moyen d'acquisition d'image côté externe qui acquiert une image côté externe capturée par ladite caméra côté externe ; d'un moyen d'analyse d'image qui analyse ladite image côté interne capturée ; d'un moyen d'identification de cadreur qui identifie ledit cadreur sur la base des résultats de ladite analyse d'image ; et d'un moyen de mémorisation qui associe et mémorise ladite image côté externe capturée et ledit cadreur identifié.
PCT/JP2016/088887 2016-12-27 2016-12-27 Système d'identification de cadreur, procédé d'identification de cadreur, et programme WO2018122959A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/JP2016/088887 WO2018122959A1 (fr) 2016-12-27 2016-12-27 Système d'identification de cadreur, procédé d'identification de cadreur, et programme

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2016/088887 WO2018122959A1 (fr) 2016-12-27 2016-12-27 Système d'identification de cadreur, procédé d'identification de cadreur, et programme

Publications (1)

Publication Number Publication Date
WO2018122959A1 true WO2018122959A1 (fr) 2018-07-05

Family

ID=62707132

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2016/088887 WO2018122959A1 (fr) 2016-12-27 2016-12-27 Système d'identification de cadreur, procédé d'identification de cadreur, et programme

Country Status (1)

Country Link
WO (1) WO2018122959A1 (fr)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004357145A (ja) * 2003-05-30 2004-12-16 Olympus Corp 電子機器
JP2007110261A (ja) * 2005-10-11 2007-04-26 Nikon Corp デジタルカメラ
JP2008271309A (ja) * 2007-04-23 2008-11-06 Olympus Corp カメラ付き携帯端末、画像関連情報取得システム、画像関連情報提供サーバおよびカメラ付き携帯通信端末
JP2009141973A (ja) * 2009-01-14 2009-06-25 Kashiko Kodate 動画データベースの作製方法、動画データベースに動画データを登録するための登録システム及びプログラム
JP2011211349A (ja) * 2010-03-29 2011-10-20 Canon Inc 情報処理装置およびその動作方法
JP2013179562A (ja) * 2012-02-09 2013-09-09 Koso Online Kk 画像処理装置および画像処理プログラム

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004357145A (ja) * 2003-05-30 2004-12-16 Olympus Corp 電子機器
JP2007110261A (ja) * 2005-10-11 2007-04-26 Nikon Corp デジタルカメラ
JP2008271309A (ja) * 2007-04-23 2008-11-06 Olympus Corp カメラ付き携帯端末、画像関連情報取得システム、画像関連情報提供サーバおよびカメラ付き携帯通信端末
JP2009141973A (ja) * 2009-01-14 2009-06-25 Kashiko Kodate 動画データベースの作製方法、動画データベースに動画データを登録するための登録システム及びプログラム
JP2011211349A (ja) * 2010-03-29 2011-10-20 Canon Inc 情報処理装置およびその動作方法
JP2013179562A (ja) * 2012-02-09 2013-09-09 Koso Online Kk 画像処理装置および画像処理プログラム

Similar Documents

Publication Publication Date Title
WO2019218621A1 (fr) Procédé de détection destiné à un être vivant, dispositif, appareil électronique, et support d'informations
EP3692461B1 (fr) Élimination de données pouvant identifier un individu avant transmission par un dispositif
US11023757B2 (en) Method and apparatus with liveness verification
US20190102608A1 (en) System and method for entity recognition
CA3152812A1 (fr) Procede et appareil de reconnaissance faciale
US8264327B2 (en) Authentication apparatus, image sensing apparatus, authentication method and program therefor
WO2007105768A1 (fr) Dispositif, procede et programme d'enregistrement d'image de visage et support d'enregistrement
US9639778B2 (en) Information processing apparatus, control method thereof, and storage medium
JP6969663B2 (ja) ユーザの撮影装置を識別する装置及び方法
KR101252843B1 (ko) 이동 통신 단말기에서 이미지 관리 방법
KR20120139100A (ko) 얼굴 인증을 이용한 보안 장치 및 방법
WO2016167504A1 (fr) Dispositif miroir intelligent et procédé de fourniture d'image personnalisée pour l'utilisateur
KR101724971B1 (ko) 광각 카메라를 이용한 얼굴 인식 시스템 및 그를 이용한 얼굴 인식 방법
CN111259757B (zh) 一种基于图像的活体识别方法、装置及设备
CN110363111B (zh) 基于镜头失真原理的人脸活体检测方法、装置及存储介质
JP2011211349A (ja) 情報処理装置およびその動作方法
US20180039626A1 (en) System and method for tagging multimedia content elements based on facial representations
TW201804368A (zh) 人臉識別方法
WO2018122960A1 (fr) Système d'identification de cadreur, procédé d'identification de cadreur, et programme
WO2018122959A1 (fr) Système d'identification de cadreur, procédé d'identification de cadreur, et programme
JP2006018706A (ja) 被写体識別器設定装置、その設定方法とその設定プログラム、および被写体識別装置、その識別方法とその識別プログラム
JP2018005574A (ja) 画像処理装置、画像処理装置の制御方法およびプログラム
JP5550222B2 (ja) 画像処理装置及びその制御方法
KR101031369B1 (ko) 얼굴 인식 장치 및 그 방법
Grabovskyi et al. Facial recognition with using of the microsoft face API Service

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16925578

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 16925578

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: JP