WO2021045414A1 - Image recommendation device and operation method for image recommendation device - Google Patents

Image recommendation device and operation method for image recommendation device Download PDF

Info

Publication number
WO2021045414A1
WO2021045414A1 PCT/KR2020/011067 KR2020011067W WO2021045414A1 WO 2021045414 A1 WO2021045414 A1 WO 2021045414A1 KR 2020011067 W KR2020011067 W KR 2020011067W WO 2021045414 A1 WO2021045414 A1 WO 2021045414A1
Authority
WO
WIPO (PCT)
Prior art keywords
date
image
period
climate
climate index
Prior art date
Application number
PCT/KR2020/011067
Other languages
French (fr)
Korean (ko)
Inventor
김지수
양지호
Original Assignee
김지수
양지호
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 김지수, 양지호 filed Critical 김지수
Publication of WO2021045414A1 publication Critical patent/WO2021045414A1/en

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services

Definitions

  • the present invention selects a past date showing a Universal Thermal climate Index (UTCI) matched with the current date, and generates recommended information including images (eg, photos, videos) taken on the selected past date. It is about the technology for.
  • UTCI Universal Thermal climate Index
  • a new criterion for extracting photos or videos is applied to improve user satisfaction with the extraction result.
  • the present invention was created in view of the above circumstances, and an object to be reached in the present invention is to select a past date showing a Universal Thermal Climate Index (UTCI) matched with the current date, and then to the selected past date. It is to generate recommended information including captured images (eg, photos, videos).
  • UTCI Universal Thermal Climate Index
  • the image recommendation apparatus for achieving the above object is to select a past date showing a climate index matched with the current date based on a reference climate index, which is a climate index calculated for the current date. part; And a designation unit for designating at least some of the past dates selected according to the matching rate with the reference climate index as an extraction target date for image extraction.
  • the image recommendation device may further include a generator configured to extract an image photographed on the extraction target date and generate recommendation information including the extracted image.
  • the selection unit may select a past date showing a difference in the climate index within a set error range with the reference climate index.
  • the selection unit determines whether the specific area has a climate maintenance characteristic in which the difference between climate indices is maintained within a set error range for a certain period including the current date.
  • the predetermined period may be designated as a selection period, and it is possible to check whether or not the reference climate index matches the reference climate index only for a past date corresponding to the selection period.
  • the matching rate may be determined according to a climate index fluctuation trend during a matching period, which is a period including two or more adjacent dates.
  • the matching rate is for a first matching period with the current date as the end date of the period, and a second matching period with a past date showing the climate index matched with the reference climate index as the end or start date of the period. It can be determined according to the degree of similarity between changes in the climate index.
  • the generation unit when the image photographed on the extraction target date does not exist in the terminal requesting the generation of the recommendation information, or a predefined extraction target object does not exist in the image photographed on the extraction target date, Recommendation information may be generated by extracting an image photographed on the extraction target date from an image shared from another terminal.
  • the generation unit determines two or more extraction target groups by classifying subscribers related to the terminal according to intimacy between subscribers in at least one shared service to which the terminal subscribes, and determines each extraction target group according to the intimacy priority.
  • An image captured on the extraction target date may be extracted from an image shared by a subscriber belonging to the group.
  • a method of operating an image recommendation apparatus includes a past date showing a climate index matched with the current date based on a reference climate index, which is a climate index calculated for the current date.
  • the method may further include a generating step of extracting an image photographed on the extraction target date and generating recommendation information including the extracted image.
  • the matching rate may be determined according to a climate index fluctuation trend during a matching period, which is a period including two or more adjacent dates.
  • the matching rate is for a first matching period with the current date as the end date of the period, and a second matching period with a past date showing the climate index matched with the reference climate index as the end or start date of the period. It can be determined according to the degree of similarity between changes in the climate index.
  • a past date showing a Universal Thermal Climate Index (UTCI) matched with the current date is selected, and images photographed on the selected past date (
  • UTCI Universal Thermal Climate Index
  • coordinate information such as event locations (eg, past travel destinations) and clothing suitable for the climate index of the current date from the recommended information.
  • FIG. 1 is an exemplary view showing an image recommendation service environment according to an embodiment of the present invention.
  • FIG. 2 is a schematic configuration diagram of an image recommendation device according to an embodiment of the present invention.
  • FIG 3 is an exemplary view for explaining a matching rate with a reference climate index according to an embodiment of the present invention.
  • FIG. 4 is a flowchart illustrating a method of operating an image recommendation device according to an embodiment of the present invention.
  • FIG. 5 is a flowchart illustrating a method of operating a terminal according to an embodiment of the present invention.
  • first and second used in the present specification may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another component.
  • a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element.
  • FIG. 1 is an exemplary diagram illustrating an image recommendation service environment according to an embodiment of the present invention.
  • an image recommendation service environment may have a configuration including a terminal 10 and an image recommendation device 20.
  • the terminal 10 refers to a smart device (eg, a smart phone) capable of photographing photos and videos (hereinafter, collectively referred to as “image”), and may store the captured image in its own storage.
  • a smart device eg, a smart phone
  • image capable of photographing photos and videos
  • the image stored in the storage of the terminal 10 includes metadata such as, for example, a photographing date and a photographing location.
  • the terminal 10 may generate recommendation information including an image photographed in connection with the image recommendation device 20 or may receive it from the image recommendation device 20, such as the terminal 10 and the image recommendation device ( The linkage between 20) may be made through a dedicated application executed in the terminal 10.
  • the image recommendation device 20 refers to a device for supporting the terminal 10 to generate recommendation information by selecting a photographed image, or for directly generating recommendation information for the terminal 10, for example, a network It may be implemented in the form of a server that supports access to the terminal 10 through.
  • the image recommendation device 20 when the image recommendation device 20 is implemented in the form of a server, for example, it may be implemented in the form of a web server, a database server, a proxy server, etc.
  • One or more of various software to enable operation may be installed, and through this, it may be implemented as a computerized system.
  • a basic operation of extracting a photographed image based on the above-described configuration and generating recommendation information including the extracted image may be performed.
  • the criteria for extracting a captured image are limited to the shooting date or location, which is information in the metadata.
  • the reality is that satisfaction is not high.
  • the climate index is expressed as one index by comprehensively considering a number of weather factors corresponding to temperature, relative humidity, wind speed, and insolation on a specific date, and is a standard for evaluating weather conditions regardless of region and season. Can be understood as.
  • a universal thermal climate index (UTCI) is adopted, but in addition to the universal thermal climate index (UTCI), for example, WCI (Wind Chill Index), NWCI (New Wind Chill Index), ASV (Actual Sensation Vote), TS (Thermal sensation), DI (Discomfort Index), and CAI (Comprehensive air-quality index) it is also possible to select at least one index.
  • WCI Wind Chill Index
  • NWCI New Wind Chill Index
  • ASV Actual Sensation Vote
  • TS Temporal sensation
  • DI Discomfort Index
  • CAI Comprehensive air-quality index
  • an image can be extracted through a new extraction method that additionally considers the climate index (UTCI) in addition to the metadata included in the image.
  • UTCI climate index
  • FIG 2 schematically shows the configuration of an image recommendation device 20 according to an embodiment of the present invention.
  • the image recommendation apparatus 20 includes a selection unit 21 for selecting a past date showing a climate index matching the current date, and an image among the selected past dates. It may have a configuration including a designation unit 22 for designating an extraction target date for extraction.
  • the image recommendation apparatus 20 may further include a configuration of a generator 23 that extracts an image and generates extraction information in addition to the above-described configuration.
  • the entire configuration or at least a portion of the image recommendation device 20 may be implemented in the form of a hardware module or a software module, or may be implemented in a form in which a hardware module and a software module are combined.
  • the software module may be understood as, for example, a command executed by a processor that processes an operation in the image recommending device 20, and such a command is a form mounted in a separate memory in the image recommending device 20. I can have it.
  • the image recommendation apparatus 20 may further include a configuration of the communication unit 24, which is an RF module responsible for a practical communication function with the terminal 10, in addition to the above configuration.
  • the communication unit 24 includes, for example, an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a codec chipset, and a memory, but is not limited thereto. Any known circuit to perform may be included.
  • the image recommendation apparatus 20 selects a past date showing a climate index (UTCI) matched with the current date through the above-described configuration, and an image photographed on the selected past date (eg: Recommendation information including photos and videos) may be generated.
  • UTCI climate index
  • Recommendation information including photos and videos
  • the selection unit 21 performs a function of selecting a past date showing a climate index matching the current date.
  • the selection unit 21 selects a past date showing a climate index matched with the current date according to the recommended service request received from the terminal 10.
  • the selection unit 21 calculates the climate index in consideration of the weather factor of the current date as the reference climate index, and compares the calculated reference climate index with the previously stored climate index for each past date. Past dates that showed the climate index matched with can be selected.
  • matching with the reference climate index can be understood as belonging to a similar category in which the difference from the reference climate index falls within the set error range, and the set error range for determining the similar category is determined according to the accuracy of the recommended service. It goes without saying that the number can be set by adding or subtracting it.
  • the recommended service according to an embodiment of the present invention may be provided on an area basis, and thus, a case where a recommended service is requested for an area limited to a specific area from the terminal 10 may be considered.
  • the specific area may correspond to, for example, an area designated by the terminal 10, an area in which the terminal 10 is currently located, or other areas excluding an area in which the terminal 10 is currently located.
  • the selection unit 21 determines whether the specific area for which the recommendation service is requested has climate maintenance characteristics, and matches the reference climate index according to the determination result. You can select past dates that showed the climate index.
  • the climate maintenance characteristic refers to a climate characteristic in which the difference between climate indices by date for a certain period of time remains within a set error range.
  • the weather characteristics are divided into 4 seasons at a large and 24 seasons at a minimum, and similar weather is maintained during a certain period corresponding to the same season or season.
  • the characteristics of maintaining similar weather can be said to have climate maintenance characteristics.
  • the selection unit 21 maintains a climate maintenance characteristic in which the difference between climate indices for a certain period including the current date is maintained within the set error range in the specific area for which the recommended service is requested. It can be determined whether or not.
  • the selection unit 21 designates a certain period in which the climate maintenance characteristics are maintained as the selection period, and a past date corresponding to the specified selection period For only, it is checked whether it matches the reference climate index.
  • checking whether or not matching only with the past date corresponding to the selection period is to minimize the resources input for comparison with the reference climate index by limiting the target to be compared with the reference climate index to the selection period.
  • the targets of comparison with the reference climate index are all past dates before the current date, whereas when the screening period is limited, only the past days corresponding to the screening period are compared with the reference climate index. Since it is a target for comparison of, it is possible to minimize the resources (e.g., time, computing resources) for comparison with the reference climate index.
  • the designation unit 22 performs a function of designating an extraction target date for image extraction among past dates.
  • the designation unit 22 designates at least some of the selected past dates as an extraction target date for image extraction.
  • the designation unit 22 may designate at least some of the past dates whose matching rate is greater than or equal to the threshold value among past dates selected according to the matching rate with the reference climate index determined for the past date as an extraction target date for image extraction. .
  • the matching rate with the reference climate index may be determined according to a change in the climate index during a matching period set including a period including two or more adjacent dates.
  • determining the matching rate with the reference climate index by reflecting the change of the climate index by date during the matching period is not only the weather condition of a specific day in the past that matches the reference climate index, but also a specific date in the past that matches the reference climate index. This is to consider the weather trends for a certain period of time in the vicinity of and.
  • the designation unit 22 sets the first matching period with the current date as the end date of the period, and the second matching period with the selected past date as the end or start date of the period as the same period, and the first The matching rate with the reference climate index can be determined according to the similarity between the climate index fluctuation trend in the matching period and the climate index fluctuation trend in the second matching period.
  • the matching rate with the reference climate index can be determined according to the degree of similarity between the fluctuation trends.
  • the climate index fluctuation trend during the matching period may be defined as at least one numerical value (statistical value) of, for example, a median value, an average value, and a standard deviation of the climate index for each date during the matching period.
  • the designated extraction target date is provided to the terminal 10, thereby causing the terminal 10 to be stored in its own storage. It is possible to support to generate recommendation information including the extracted image by extracting an image photographed on an extraction target date from among the images.
  • the terminal 10 when the extraction target date is received from the image recommendation device 20 in response to a recommendation service request to the image recommendation device 20, the terminal 10 is photographed on the extraction target date among images stored in its own storage. It is checked whether or not the created image exists.
  • the terminal 10 extracts the image, determines whether the extracted image includes a predefined extraction target object, and when the extraction target object is included.
  • recommendation information including the image is generated and displayed (printed) to the user.
  • the object to be extracted is a type of object that can be included in the image, and can be defined including, for example, a person, a place (scenery), or an object related to the weather. It can be excluded from the object to be extracted.
  • the terminal 10 if the image photographed on the extraction target date does not exist in its own storage, or if a predefined extraction target object is not included in the image photographed on the extraction target date, the image recommendation device 20 You can request the generation of recommended information again.
  • the generation unit 23 performs a function of generating recommendation information.
  • the generation unit 23 extracts an image photographed on the extraction target date, generates recommendation information including the extracted image, and generates the recommendation information generated by the terminal. (10) will be provided.
  • the terminal 10 if the image photographed on the extraction target date does not exist in its own storage, or if a predefined extraction target object is not included in the image photographed on the extraction target date, the image recommendation device 20 You can request the generation of recommended information for.
  • the generation unit 23 may generate recommendation information by extracting an image captured on an extraction target date from an image shared between subscribers in a shared service to which the terminal 10 subscribes.
  • the generation unit 23 classifies the subscribers related to the terminal 10 according to the intimacy between subscribers defined in at least one shared service to which the terminal 10 subscribes to determine two or more extraction target groups, and prioritizes the intimacy.
  • An image captured on an extraction target date can be extracted from images shared by subscribers belonging to each extraction target group according to the ranking.
  • the generation unit 23 prioritizes intimacy.
  • the above process for generating recommendation information can be repeated by changing the target to the next extraction target group according to the ranking.
  • the image recommendation device 20 by selecting the past date showing the Universal Thermal Climate Index (UTCI) matched with the current date, the selected past
  • UTCI Universal Thermal Climate Index
  • the selected past By providing recommended information including images taken on a date (e.g., photos, videos), it is possible to refer to coordinate information such as event locations (past travel destinations) and clothing suitable for the climate index of the current date from the recommended information. It can be expected to improve user satisfaction with.
  • the selection unit 21 selects a past date showing a climate index matched with the current date according to a recommendation service request received from the terminal 10 (S11-S13).
  • the selection unit 21 calculates the climate index in consideration of the weather factor of the current date as a reference climate index, and matches the current date by comparing the calculated reference climate index with the previously stored climate index for each past date. Past dates can be selected for the displayed climate index.
  • matching with the reference climate index can be understood as belonging to a similar category in which the difference from the reference climate index falls within the set error range, and the set error range for determining the similar category is determined according to the accuracy of the recommended service. It goes without saying that the number can be set by adding or subtracting it.
  • the recommended service according to an embodiment of the present invention may be provided on an area basis, and thus, a case where a recommended service is requested for an area limited to a specific area from the terminal 10 may be considered.
  • the specific area corresponds to, for example, an area designated by the terminal 10, an area in which the terminal 10 is currently located, or other areas except the area in which the terminal 10 is currently located.
  • the selection unit 21 determines whether the specific area for which the recommendation service is requested has climate maintenance characteristics, and matches the reference climate index according to the determination result. You can select past dates that showed the climate index.
  • the climate maintenance characteristic refers to a climate characteristic in which the difference between climate indices is maintained within a set error range for a certain period of time.
  • the selection unit 21 maintains a climate maintenance characteristic in which the difference between climate indices for a certain period including the current date is maintained within the set error range in the specific area for which the recommended service is requested. It is determined whether or not.
  • the selection unit 21 designates a certain period in which the climate maintenance characteristics are maintained as the selection period, and a past date corresponding to the specified selection period It is possible to check whether or not it matches the reference climate index only for.
  • the designation unit 22 designates at least a part of the selected past date as an extraction target date for image extraction and provides it to the terminal 10 (S14). -S15).
  • the designation unit 22 may designate at least some of the past dates whose matching rate is greater than or equal to the threshold value among past dates selected according to the matching rate with the reference climate index determined for the past date as an extraction target date for image extraction. .
  • the matching rate with the reference climate index may be determined according to a change in the climate index during the matching period, which is set as a period including two or more days adjacent to each other.
  • determining the matching rate with the reference climate index by reflecting the change of the climate index by date during the matching period is not only the weather condition of a specific day in the past that matches the reference climate index, but also a specific date in the past that matches the reference climate index. This is to take into account the weather trends during the neighboring period.
  • the designation unit 22 sets the first matching period with the current date as the end date of the period, and the second matching period with the selected past date as the end or start date of the period as the same period, and the first The matching rate with the reference climate index can be determined according to the similarity between the climate index fluctuation trend in the matching period and the climate index fluctuation trend in the second matching period.
  • the climate index fluctuation trend during the matching period may be defined as, for example, a numerical value of at least one of a median value, an average value, and a standard deviation of the climate index for each date during the matching period.
  • the terminal 10 when the extraction target date is designated according to step'S15', by providing the designated extraction target date to the terminal 10, the terminal 10 allows the It is possible to support to generate recommendation information including the extracted image by extracting the image photographed on the extraction target date.
  • FIG. 5 schematically shows an operation method in the terminal 10 for generating recommendation information.
  • the terminal 10 is an image captured on the extraction target date among images stored in its own storage. It is checked whether or not is present (S31-S33).
  • the terminal 10 extracts the image, determines whether the extracted image includes a predefined extraction target object, and only when the extraction target object is included. Recommendation information including the corresponding image is generated and displayed (output) to the user (S33-S35, S38).
  • the object to be extracted is a type of object that can be included in the image, and can be defined including, for example, a person, a place (scenery), or an object related to the weather. It can be excluded from the object to be extracted.
  • the terminal 10 confirms that the image photographed on the extraction target date in step'S33' does not exist in its own storage, or the extraction target object defined in the image photographed on the extraction target date in step'S34' If is not included, it is possible to request the image recommendation device 20 to generate recommendation information again, and receive recommendation information from the image recommendation device 20 (S36-S37).
  • the generation unit 23 extracts the target from the image shared between subscribers in the shared service to which the terminal 10 subscribes. An image photographed on a date is extracted, and recommendation information including the extracted image is generated and provided to the terminal 10 (S16-S20).
  • the generation unit 23 classifies the subscribers related to the terminal 10 according to the intimacy between subscribers defined in at least one shared service to which the terminal 10 subscribes, determines two or more extraction target groups, and prioritizes the intimacy. According to this, an image captured on an extraction target date may be extracted from an image shared by a subscriber belonging to each extraction target group, and recommendation information including the extracted image may be generated.
  • the generation unit 23 does not have an extraction target date among the images shared by a specific extraction target group in step'S18', or a predefined extraction target on the image captured on the extraction target date in step'S19'. If the object is not included, the above process for generating recommendation information may be repeated by changing the target to the next extraction target group according to the intimacy priority (S21).
  • a past date showing a Universal Thermal Climate Index (UTCI) matched with the current date is selected, and the selected
  • recommended information including images taken on a past date (eg, photos, videos)
  • Implementations of the subject matter described herein are one or more computer program products, i.e., one or more modules relating to computer program instructions encoded on a tangible program storage medium for execution by or for controlling the operation of a processing system. Can be implemented.
  • the computer-readable medium may be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of materials that affect a machine-readable radio wave signal, or a combination of one or more of them.
  • system encompasses all devices, devices, and machines for processing data, including, for example, a programmable processor, a computer, or multiple processors or computers.
  • processing system may include, for example, a code constituting a processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them, etc., to form an execution environment for a computer program upon request. .
  • Computer programs can be written in any form of a compiled or interpreted language or a programming language, including a priori or procedural language, and can be written as a standalone program or module, It can be deployed in any form, including components, subroutines, or other units suitable for use in a computer environment.
  • Computer programs do not necessarily correspond to files in the file system.
  • a program may be in a single file provided to the requested program, or in multiple interactive files (e.g., files that store one or more modules, subprograms or parts of code), or part of a file that holds other programs or data. (Eg, one or more scripts stored within a markup language document).
  • the computer program may be deployed to run on one computer or multiple computers located at one site or distributed across a plurality of sites and interconnected by a communication network.
  • computer-readable media suitable for storing computer program instructions and data include, for example, semiconductor memory devices such as EPROM, EEPROM, and flash memory devices, such as magnetic disks such as internal hard disks or external disks, magneto-optical disks, and CDs.
  • semiconductor memory devices such as EPROM, EEPROM, and flash memory devices, such as magnetic disks such as internal hard disks or external disks, magneto-optical disks, and CDs.
  • flash memory devices such as magnetic disks such as internal hard disks or external disks, magneto-optical disks, and CDs.
  • -May contain all types of nonvolatile memory, media and memory devices, including ROM and DVD-ROM disks.
  • the processor and memory can be supplemented by special purpose logic circuitry or incorporated into it.
  • Implementations of the subject matter described herein include a backend component, such as a data server, or a middleware component such as an application server, or, for example, a web browser or graphical user that allows a user to interact with an implementation of the subject matter described herein. It may be implemented in a front-end component, such as a client computer having an interface, or a computing system that includes any combination of one or more of such back-ends, middleware, or front-end components.
  • the components of the system can be interconnected by any form or medium of digital data communication, for example a communication network.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Human Resources & Organizations (AREA)
  • Primary Health Care (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • General Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Biology (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Processing Or Creating Images (AREA)

Abstract

The present invention relates to an image recommendation device and an operation method for the image recommendation device, the device and the method selecting a past date that shows a universal thermal climate index (UTCI) matched with the current date, so as to generate recommendation information including images (for example, photos and videos) captured on the selected past date.

Description

이미지추천장치 및 이미지추천장치의 동작 방법Image recommendation device and operation method of image recommendation device
본 발명은, 현재 날짜와 매칭된 기후지수(UTCI, Universal Thermal Climate Index)를 보인 과거 날짜를 선별하여, 선별된 과거 날짜에 촬영된 이미지(예: 사진, 동영상)를 포함하는 추천정보를 생성하기 위한 기술에 관한 것이다.The present invention selects a past date showing a Universal Thermal Climate Index (UTCI) matched with the current date, and generates recommended information including images (eg, photos, videos) taken on the selected past date. It is about the technology for.
최근 다양한 어플리케이션의 개발과 소형 카메라의 성능 향상으로 인해 스마트 기기(예: 스마트 폰)을 카메라 대용으로 사용하는 사용자가 증가하고 있다.Recently, due to the development of various applications and improvement of the performance of small cameras, the number of users who use smart devices (eg, smart phones) as a camera substitute is increasing.
또한 소형 메모리 기술 발달로 인해 별도의 플랫폼을 이용하지 않더라도 매우 많은 양의 촬영 사진 및 동영상을 스마트 기기의 자체 스토리지에 저장할 수 있다.In addition, due to the development of small memory technology, a very large amount of photographed photos and videos can be stored in the smart device's own storage even without using a separate platform.
때문에 사용자 입장에서는 이처럼 스마트 기기 내에 저장된 방대한 양의 사진이나 동영상을 보다 효율적이고 체계적으로 관리할 수 있는 방안 마련이 필요하다.Therefore, from the perspective of users, there is a need for a more efficient and systematic way to manage the vast amount of photos or videos stored in smart devices.
이와 관련하여, 종래에는 스마트 기기에서 촬영된 사진이나 동영상의 메타데이터를 참조하여, 촬영 날짜 또는 촬영 위치 별로 사진을 추출하여 그 결과를 사용자에게 노출시키는 기술 등이 존재한다.In this regard, conventionally, there is a technology for extracting photos by shooting date or shooting location by referring to metadata of a photo or video taken by a smart device and exposing the result to the user.
그러나, 이처럼 단순히 메타데이터만을 참조하는 종래 기술의 경우, 사진이나 동영상을 추출하기 위한 추출 기준이 메타데이터 내 정보로 국한되는 관계로, 그에 따른 추출 결과물에 대해 사용자 만족도가 높지 않은 것이 현실이다.However, in the case of the prior art that simply refers to metadata as described above, since the extraction criteria for extracting photos or videos are limited to information in the metadata, it is a reality that user satisfaction is not high with the resultant extraction result.
이에, 본원 발명에서는 사진이나 동영상을 추출하기 위한 새로운 기준을 적용하여 추출 결과물에 대한 사용자 만족도를 제고하고자 한다.Accordingly, in the present invention, a new criterion for extracting photos or videos is applied to improve user satisfaction with the extraction result.
본 발명은 상기한 사정을 감안하여 창출된 것으로서, 본 발명에서 도달하고자 하는 목적은, 현재 날짜와 매칭된 기후지수(UTCI, Universal Thermal Climate Index)를 보인 과거 날짜를 선별하여, 선별된 과거 날짜에 촬영된 이미지(예: 사진, 동영상)를 포함하는 추천정보를 생성하는데 있다.The present invention was created in view of the above circumstances, and an object to be reached in the present invention is to select a past date showing a Universal Thermal Climate Index (UTCI) matched with the current date, and then to the selected past date. It is to generate recommended information including captured images (eg, photos, videos).
상기 목적을 달성하기 위한 본 발명의 일 실시예에 따른 이미지추천장치는, 현재 날짜에 대해 산출된 기후지수인 기준기후지수를 기초로 상기 현재 날짜와 매칭된 기후지수를 보인 과거 날짜를 선별하는 선별부; 및 상기 기준기후지수와의 매칭률에 따라 선별된 과거 날짜 중 적어도 일부를 이미지 추출을 위한 추출대상날짜로 지정하는 지정부를 포함하는 것을 특징으로 한다.The image recommendation apparatus according to an embodiment of the present invention for achieving the above object is to select a past date showing a climate index matched with the current date based on a reference climate index, which is a climate index calculated for the current date. part; And a designation unit for designating at least some of the past dates selected according to the matching rate with the reference climate index as an extraction target date for image extraction.
구체적으로, 상기 이미지추천장치는, 상기 추출대상날짜에 촬영된 이미지를 추출하여 상기 추출된 이미지를 포함한 추천정보를 생성하는 생성부를 더 포함할 수 있다.Specifically, the image recommendation device may further include a generator configured to extract an image photographed on the extraction target date and generate recommendation information including the extracted image.
구체적으로, 상기 선별부는, 상기 기준기후지수와의 설정오차범위 이내의 기후지수 차이를 보이는 과거 날짜를 선별할 수 있다.Specifically, the selection unit may select a past date showing a difference in the climate index within a set error range with the reference climate index.
구체적으로, 상기 선별부는, 특정 지역에 대한 추천 서비스가 요구되는 경우, 상기 특정 지역이 상기 현재 날짜를 포함한 일정기간 동안 기후지수 간 차이가 설정오차범위 이내로 유지되는 기후유지특성을 갖는지 여부를 판단하며, 상기 특정 지역이 상기 기후유지특성을 갖는 것으로 판단되는 경우, 상기 일정기간을 선별기간으로 지정하여, 상기 선별기간에 해당하는 과거 날짜에 대해서만 상기 기준기후지수와 매칭 여부를 확인할 수 있다.Specifically, when a recommended service for a specific area is requested, the selection unit determines whether the specific area has a climate maintenance characteristic in which the difference between climate indices is maintained within a set error range for a certain period including the current date. , When it is determined that the specific region has the climate maintenance characteristic, the predetermined period may be designated as a selection period, and it is possible to check whether or not the reference climate index matches the reference climate index only for a past date corresponding to the selection period.
구체적으로, 상기 매칭률은, 서로 이웃한 2 이상의 날짜를 포함하는 기간인 매칭기간 동안의 기후지수 변동추이에 따라 결정될 수 있다.Specifically, the matching rate may be determined according to a climate index fluctuation trend during a matching period, which is a period including two or more adjacent dates.
구체적으로, 상기 매칭률은, 상기 현재 날짜를 기간의 종료일로 하는 제1매칭기간, 및 상기 기준기후지수와 매칭된 기후지수를 보인 과거 날짜를 기간의 종료일 또는 개시일로 하는 제2매칭기간에 대해서 기후지수 변동추이 간 유사도에 따라 결정될 수 있다.Specifically, the matching rate is for a first matching period with the current date as the end date of the period, and a second matching period with a past date showing the climate index matched with the reference climate index as the end or start date of the period. It can be determined according to the degree of similarity between changes in the climate index.
구체적으로, 상기 생성부는, 상기 추출대상날짜에 촬영된 이미지가 상기 추천정보의 생성을 요청한 단말에 존재하지 않거나, 상기 추출대상날짜에 촬영된 이미지에 기 정의된 추출대상객체가 존재하지 않는 경우, 타 단말로부터 공유되는 이미지로부터 상기 추출대상날짜에 촬영된 이미지를 추출하여 추천정보를 생성할 수 있다.Specifically, the generation unit, when the image photographed on the extraction target date does not exist in the terminal requesting the generation of the recommendation information, or a predefined extraction target object does not exist in the image photographed on the extraction target date, Recommendation information may be generated by extracting an image photographed on the extraction target date from an image shared from another terminal.
구체적으로, 상기 생성부는, 상기 단말이 가입한 적어도 하나의 공유 서비스에서의 가입자 간 친밀도에 따라 상기 단말과 관련된 가입자를 분류하여 2 이상의 추출대상그룹을 결정하고, 상기 친밀도 우선순위에 따라 각 추출대상그룹에 속하는 가입자가 공유한 이미지로부터 상기 추출대상날짜에 촬영된 이미지를 추출할 수 있다.Specifically, the generation unit determines two or more extraction target groups by classifying subscribers related to the terminal according to intimacy between subscribers in at least one shared service to which the terminal subscribes, and determines each extraction target group according to the intimacy priority. An image captured on the extraction target date may be extracted from an image shared by a subscriber belonging to the group.
상기 목적을 달성하기 위한 본 발명의 일 실시예에 따른 이미지추천장치의 동작 방법은, 현재 날짜에 대해 산출된 기후지수인 기준기후지수를 기초로 상기 현재 날짜와 매칭된 기후지수를 보인 과거 날짜를 선별하는 선별단계; 및 상기 기준기후지수와의 매칭률에 따라 선별된 과거 날짜 중 적어도 일부를 이미지 추출을 위한 추출대상날짜로 지정하는 지정단계를 포함하는 것을 특징으로 한다.In order to achieve the above object, a method of operating an image recommendation apparatus according to an embodiment of the present invention includes a past date showing a climate index matched with the current date based on a reference climate index, which is a climate index calculated for the current date. A screening step of selecting; And a designating step of designating at least some of the past dates selected according to the matching rate with the reference climate index as an extraction target date for image extraction.
구체적으로, 상기 방법은, 상기 추출대상날짜에 촬영된 이미지를 추출하여 상기 추출된 이미지를 포함한 추천정보를 생성하는 생성단계를 더 포함할 수 있다.Specifically, the method may further include a generating step of extracting an image photographed on the extraction target date and generating recommendation information including the extracted image.
구체적으로, 상기 매칭률은, 서로 이웃한 2 이상의 날짜를 포함하는 기간인 매칭기간 동안의 기후지수 변동추이에 따라 결정될 수 있다.Specifically, the matching rate may be determined according to a climate index fluctuation trend during a matching period, which is a period including two or more adjacent dates.
구체적으로, 상기 매칭률은, 상기 현재 날짜를 기간의 종료일로 하는 제1매칭기간, 및 상기 기준기후지수와 매칭된 기후지수를 보인 과거 날짜를 기간의 종료일 또는 개시일로 하는 제2매칭기간에 대해서 기후지수 변동추이 간 유사도에 따라 결정될 수 있다.Specifically, the matching rate is for a first matching period with the current date as the end date of the period, and a second matching period with a past date showing the climate index matched with the reference climate index as the end or start date of the period. It can be determined according to the degree of similarity between changes in the climate index.
이에, 본 발명의 이미지추천장치 및 이미지추천장치의 동작 방법에 의하면, 현재 날짜와 매칭된 기후지수(UTCI, Universal Thermal Climate Index)를 보인 과거 날짜를 선별하여, 선별된 과거 날짜에 촬영된 이미지(예: 사진, 동영상)를 포함한 추천정보를 제공함으로써, 추천정보로부터 현재 날짜의 기후지수에 적합한 이벤트 장소(예: 과거 여행지) 및 옷차림 등의 코디 정보를 참고하도록 할 수 있다.Accordingly, according to the image recommendation device and the operating method of the image recommendation device of the present invention, a past date showing a Universal Thermal Climate Index (UTCI) matched with the current date is selected, and images photographed on the selected past date ( By providing recommended information including photos, videos), it is possible to refer to coordinate information such as event locations (eg, past travel destinations) and clothing suitable for the climate index of the current date from the recommended information.
도 1은 본 발명의 일 실시예에 따른 이미지 추천 서비스 환경을 보여주는 예시도.1 is an exemplary view showing an image recommendation service environment according to an embodiment of the present invention.
도 2는 본 발명의 일 실시예에 따른 이미지추천장치의 개략적인 구성도.2 is a schematic configuration diagram of an image recommendation device according to an embodiment of the present invention.
도 3은 본 발명의 일 실시예에 따른 기준기후지수와의 매칭률을 설명하기 위한 예시도.3 is an exemplary view for explaining a matching rate with a reference climate index according to an embodiment of the present invention.
도 4는 본 발명의 일 실시예에 따른 이미지추천장치의 동작 방법을 설명하기 위한 순서도.4 is a flowchart illustrating a method of operating an image recommendation device according to an embodiment of the present invention.
도 5는 본 발명의 일 실시예에 따른 단말의 동작 방법을 설명하기 위한 순서도.5 is a flowchart illustrating a method of operating a terminal according to an embodiment of the present invention.
본 명세서에서 사용되는 기술적 용어는 단지 특정한 실시 예를 설명하기 위해 사용된 것으로, 본 명세서에 개시된 기술의 사상을 한정하려는 의도가 아님을 유의해야 한다. 또한, 본 명세서에서 사용되는 기술적 용어는 본 명세서에서 특별히 다른 의미로 정의되지 않는 한, 본 명세서에 개시된 기술이 속하는 분야에서 통상의 지식을 가진 자에 의해 일반적으로 이해되는 의미로 해석되어야 하며, 과도하게 포괄적인 의미로 해석되거나, 과도하게 축소된 의미로 해석되지 않아야 한다. 또한, 본 명세서에서 사용되는 기술적인 용어가 본 명세서에 개시된 기술의 사상을 정확하게 표현하지 못하는 잘못된 기술적 용어일 때에는, 당업자가 올바르게 이해할 수 있는 기술적 용어로 대체되어 이해되어야 할 것이다. 또한, 본 명세서에서 사용되는 일반적인 용어는 사전에 정의되어 있는 바에 따라, 또는 전후 문맥상에 따라 해석되어야 하며, 과도하게 축소된 의미로 해석되지 않아야 한다. It should be noted that the technical terms used in the present specification are only used to describe specific embodiments, and are not intended to limit the spirit of the technology disclosed in the present specification. In addition, the technical terms used in the present specification should be interpreted in the meaning generally understood by those of ordinary skill in the field to which the technology disclosed in the present specification belongs, unless otherwise defined in the specification. It should not be interpreted in a comprehensive or excessively reduced sense. In addition, when a technical term used in the present specification is an incorrect technical term that does not accurately express the spirit of the technology disclosed in the present specification, it should be replaced with a technical term that can be correctly understood by those skilled in the art. In addition, general terms used in the present specification should be interpreted as defined in the dictionary or according to the context before and after, and should not be interpreted as an excessively reduced meaning.
또한, 본 명세서에서 사용되는 단수의 표현은 문맥상 명백하게 다르게 뜻하지 않는 한, 복수의 표현을 포함한다. 본 명세서에서, "구성된다" 또는 "포함한다" 등의 용어는 명세서상에 기재된 여러 구성 요소들, 또는 여러 단계들을 반드시 모두 포함하는 것으로 해석되지 않아야 하며, 그 중 일부 구성 요소들 또는 일부 단계들은 포함되지 않을 수도 있고, 또는 추가적인 구성 요소 또는 단계들을 더 포함할 수 있는 것으로 해석되어야 한다. In addition, a singular expression used in the present specification includes a plurality of expressions unless the context clearly indicates otherwise. In the present specification, terms such as “consisting of” or “comprising” should not be construed as necessarily including all of the various elements or various steps described in the specification, and some of the elements or some steps It may not be included, or it should be interpreted that it may further include additional components or steps.
또한, 본 명세서에서 사용되는 제1, 제2 등과 같이 서수를 포함하는 용어는 다양한 구성 요소들을 설명하는데 사용될 수 있지만, 상기 구성 요소들은 상기 용어들에 의해 한정되어서는 안 된다. 상기 용어들은 하나의 구성요소를 다른 구성요소로부터 구별하는 목적으로만 사용된다. 예를 들어, 본 발명의 권리 범위를 벗어나지 않으면서 제1 구성요소는 제2 구성 요소로 명명될 수 있고, 유사하게 제2 구성 요소도 제1 구성 요소로 명명될 수 있다. In addition, terms including ordinal numbers such as first and second used in the present specification may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element.
이하, 첨부된 도면을 참조하여 본 명세서에 개시된 실시 예들을 상세히 설명하되, 도면 부호에 관계없이 동일하거나 유사한 구성 요소는 동일한 참조 번호를 부여하고 이에 대한 중복되는 설명은 생략하기로 한다. Hereinafter, exemplary embodiments disclosed in the present specification will be described in detail with reference to the accompanying drawings, but identical or similar elements are denoted by the same reference numerals regardless of reference numerals, and redundant descriptions thereof will be omitted.
또한, 본 명세서에 개시된 기술을 설명함에 있어서 관련된 공지 기술에 대한 구체적인 설명이 본 명세서에 개시된 기술의 요지를 흐릴 수 있다고 판단되는 경우 그 상세한 설명을 생략한다. 또한, 첨부된 도면은 본 명세서에 개시된 기술의 사상을 쉽게 이해할 수 있도록 하기 위한 것일 뿐, 첨부된 도면에 의해 그 기술의 사상이 제한되는 것으로 해석되어서는 아니 됨을 유의해야 한다.In addition, in describing the technology disclosed in the present specification, when it is determined that a detailed description of a related known technology may obscure the gist of the technology disclosed in the present specification, the detailed description thereof will be omitted. In addition, it should be noted that the accompanying drawings are for easy understanding of the spirit of the technology disclosed in the present specification, and should not be construed as limiting the spirit of the technology by the accompanying drawings.
이하, 첨부된 도면을 참조하여 본 발명의 바람직한 실시예에 대하여 설명한다.Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.
도 1은 본 발명의 일 실시예에 따른 이미지 추천 서비스 환경을 예시적으로 보여주고 있다.1 is an exemplary diagram illustrating an image recommendation service environment according to an embodiment of the present invention.
도 1에 도시된 바와 같이, 본 발명의 일 실시예에 따른 이미지 추천 서비스 환경은, 단말(10) 및 이미지추천장치(20)를 포함하는 구성을 가질 수 있다.As shown in FIG. 1, an image recommendation service environment according to an embodiment of the present invention may have a configuration including a terminal 10 and an image recommendation device 20.
단말(10)은 사진 및 동영상(이하, '이미지'로 통칭함)의 촬영이 가능한 스마트 기기(예: 스마트 폰)을 일컫는 것으로서, 촬영된 이미지를 자체 스토리지에 저장할 수 있다.The terminal 10 refers to a smart device (eg, a smart phone) capable of photographing photos and videos (hereinafter, collectively referred to as “image”), and may store the captured image in its own storage.
이처럼, 단말(10) 스토리지에 저장되는 이미지는 예컨대, 촬영 날짜 및 촬영 위치 등의 메타데이터를 포함하고 있음은 물론이다.As such, it goes without saying that the image stored in the storage of the terminal 10 includes metadata such as, for example, a photographing date and a photographing location.
또한, 단말(10)은 이미지추천장치(20)와의 연계로 촬영된 이미지를 포함한 추천정보를 자체 생성하거나, 이미지추천장치(20)로부터 수신할 수 있는데, 이러한 단말(10)과 이미지추천장치(20) 간의 연계는 단말(10)에서 실행되는 전용 애플리케이션을 통해서 이루어질 수 있다.In addition, the terminal 10 may generate recommendation information including an image photographed in connection with the image recommendation device 20 or may receive it from the image recommendation device 20, such as the terminal 10 and the image recommendation device ( The linkage between 20) may be made through a dedicated application executed in the terminal 10.
이미지추천장치(20)는 단말(10)로 하여금 촬영된 이미지를 선별하여 추천정보를 생성하는 것을 지원하거나, 또는 직접 단말(10)에 대한 추천정보를 생성하기 위한 장치를 일컫는 것으로서, 예컨대, 네트워크를 통한 단말(10)의 접속을 지원하는 서버의 형태로 구현될 수 있다.The image recommendation device 20 refers to a device for supporting the terminal 10 to generate recommendation information by selecting a photographed image, or for directly generating recommendation information for the terminal 10, for example, a network It may be implemented in the form of a server that supports access to the terminal 10 through.
이처럼, 이미지추천장치(20)가 서버의 형태로 구현되는 경우, 예컨대, 웹 서버, 데이터베이스 서버, 프록시 서버 등의 형태로 구현될 수 있으며, 네트워크 부하 분산 메커니즘, 내지 서비스 장치가 인터넷 또는 다른 네트워크 상에서 동작할 수 있도록 하는 다양한 소프트웨어 중 하나 이상이 설치될 수 있으며, 이를 통해 컴퓨터화된 시스템으로도 구현될 수 있다.In this way, when the image recommendation device 20 is implemented in the form of a server, for example, it may be implemented in the form of a web server, a database server, a proxy server, etc. One or more of various software to enable operation may be installed, and through this, it may be implemented as a computerized system.
이상 본 발명의 일 실시예에 따른 이미지 추천 서비스 환경에서는 전술한 구성을 기반으로 촬영된 이미지를 추출하여, 추출된 이미지를 포함하는 추천정보를 생성하는 기본적이 동작이 이루어질 수 있다.As described above, in the image recommendation service environment according to an embodiment of the present invention, a basic operation of extracting a photographed image based on the above-described configuration and generating recommendation information including the extracted image may be performed.
한편, 종래 기술로서 잠시 언급한 바와 같이, 기존에는 스마트 기기에서 촬영된 사진이나 동영상의 메타데이터를 참조하여, 촬영 날짜 또는 촬영 위치 별로 이미지를 추출하여, 그 추출 결과를 사용자에게 노출시키는 기술 등이 존재하고 있다.On the other hand, as mentioned for a while as a conventional technique, conventionally, a technique of extracting images by shooting date or shooting location by referring to metadata of a photo or video taken by a smart device, and exposing the extraction result to the user, etc. Exists.
그러나, 이처럼 이미지 추출에 있어서 단순히 메타데이터만을 참조하는 종래 기술의 경우, 촬영된 이미지를 추출하기 위한 기준이 메타데이터 내 정보인 촬영 날짜 또는 촬영 위치로 국한되는 관계로, 그에 따른 선별 결과물에 대해 사용자 만족도가 높지 않은 것이 현실이다.However, in the case of the conventional technology that simply refers only to metadata in image extraction, the criteria for extracting a captured image are limited to the shooting date or location, which is information in the metadata. The reality is that satisfaction is not high.
이에, 본 발명의 일 실시예에서는 이러한 종래 기술의 한계점을 고려하여 이미지 추출에 있어서 메타데이터 이외에, 기후지수를 추가로 고려할 수 있는 새로운 이미지 추출 방식을 따르게 된다.Accordingly, in an embodiment of the present invention, in consideration of the limitations of the prior art, a new image extraction method that can additionally consider a climate index in addition to metadata in image extraction is followed.
여기서, 기후지수란 특정 날짜의 온도, 상대습도, 풍속, 및 일사량 등에 해당하는 다수의 날씨 인자를 종합적으로 고려하여 하나의 지수로 표현한 것으로서, 지역 및 계절과 관계 없이 날씨 상태를 평가할 수 있는 기준인 것으로 이해될 수 있다.Here, the climate index is expressed as one index by comprehensively considering a number of weather factors corresponding to temperature, relative humidity, wind speed, and insolation on a specific date, and is a standard for evaluating weather conditions regardless of region and season. Can be understood as.
본 발명의 일 실시예에서는 이러한 기후지수로서, 범용온열기후지수(UTCI, Universal Thermal Climate Index)를 채택하게 되나, 이러한 범용온열기후지수(UTCI) 이외에 예컨대, WCI(Wind Chill Index), NWCI(New Wind Chill Index), ASV(Actual Sensation Vote), TS(Thermal sensation), DI(Discomfort Index), 및 CAI(Comprehensive air-quality index) 중 적어도 하나의 지수를 선택하는 것 또한 가능함은 물론이다.In one embodiment of the present invention, as such a climate index, a universal thermal climate index (UTCI) is adopted, but in addition to the universal thermal climate index (UTCI), for example, WCI (Wind Chill Index), NWCI (New Wind Chill Index), ASV (Actual Sensation Vote), TS (Thermal sensation), DI (Discomfort Index), and CAI (Comprehensive air-quality index) it is also possible to select at least one index.
결국, 본 발명의 일 실시예에 따른 이미지 추천 서비스 환경에서는, 이미지에 포함된 메타데이터 이외에, 기후지수(UTCI)를 추가로 고려하는 새로운 추출 방식을 통해서 이미지를 추출할 수 있는데, 이하에서는 이를 실현하기 위한 이미지추천장치(20)의 구성에 대해 보다 구체적으로 설명하기로 한다.After all, in the image recommendation service environment according to an embodiment of the present invention, an image can be extracted through a new extraction method that additionally considers the climate index (UTCI) in addition to the metadata included in the image. The configuration of the image recommendation device 20 to be described will be described in more detail.
도 2는 본 발명의 일 실시예에 따른 이미지추천장치(20)의 구성을 개략적으로 보여주고 있다.2 schematically shows the configuration of an image recommendation device 20 according to an embodiment of the present invention.
도 2에 도시된 바와 같이, 본 발명의 일 실시예에 따른 이미지추천장치(20)는 현재 날짜와 매칭되는 기후지수를 보인 과거 날짜를 선별하는 선별부(21), 및 선별된 과거 날짜 중 이미지 추출을 위한 추출대상날짜를 지정하는 지정부(22)를 포함하는 구성을 가질 수 있다.As shown in FIG. 2, the image recommendation apparatus 20 according to an embodiment of the present invention includes a selection unit 21 for selecting a past date showing a climate index matching the current date, and an image among the selected past dates. It may have a configuration including a designation unit 22 for designating an extraction target date for extraction.
또한, 본 발명의 일 실시예에 따른 이미지추천장치(20)는 전술한 구성 이외에 이미지를 추출하여 추출정보를 생성하는 생성부(23)의 구성을 더 포함할 수 있다.In addition, the image recommendation apparatus 20 according to an embodiment of the present invention may further include a configuration of a generator 23 that extracts an image and generates extraction information in addition to the above-described configuration.
이러한, 이미지추천장치(20)의 전체 구성 내지는 적어도 일부의 구성은 하드웨어 모듈 형태 또는 소프트웨어 모듈 형태로 구현되거나, 내지는 하드웨어 모듈과 소프트웨어 모듈이 조합된 형태로도 구현될 수 있다.The entire configuration or at least a portion of the image recommendation device 20 may be implemented in the form of a hardware module or a software module, or may be implemented in a form in which a hardware module and a software module are combined.
여기서, 소프트웨어 모듈이란, 예컨대, 이미지추천장치(20) 내에서 연산을 처리하는 프로세서에 의해 실행되는 명령어로 이해될 수 있으며, 이러한 명령어는 이미지추천장치(20) 내 별도의 메모리에 탑재된 형태를 가질 수 있다.Here, the software module may be understood as, for example, a command executed by a processor that processes an operation in the image recommending device 20, and such a command is a form mounted in a separate memory in the image recommending device 20. I can have it.
한편, 본 발명의 일 실시예에 따른 이미지추천장치(20)는 전술한 구성 이외에, 단말(10)과의 실질적인 통신 기능을 담당하는 RF 모듈인 통신부(24)의 구성을 더 포함할 수 있다.On the other hand, the image recommendation apparatus 20 according to an embodiment of the present invention may further include a configuration of the communication unit 24, which is an RF module responsible for a practical communication function with the terminal 10, in addition to the above configuration.
여기서, 통신부(24)는 예컨대, 안테나 시스템, RF 송수신기, 하나 이상의 증폭기, 튜너, 하나 이상의 발진기, 디지털 신호 처리기, 코덱(CODEC) 칩셋, 및 메모리 등을 포함하지만 이에 제한되지는 않으며, 이 기능을 수행하는 공지의 회로는 모두 포함할 수 있다.Here, the communication unit 24 includes, for example, an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a codec chipset, and a memory, but is not limited thereto. Any known circuit to perform may be included.
이상 본 발명의 일 실시예에 따른 이미지추천장치(20)는 전술한 구성을 통해 현재 날짜와 매칭된 기후지수(UTCI)를 보인 과거 날짜를 선별하여, 선별된 과거 날짜에 촬영된 이미지(예: 사진, 동영상)를 포함한 추천정보를 생성할 수 있는데, 이하에서는 이를 실현하기 위한 이미지추천장치(20) 내 각 구성에 대해 보다 구체적으로 설명하기로 한다.As described above, the image recommendation apparatus 20 according to an embodiment of the present invention selects a past date showing a climate index (UTCI) matched with the current date through the above-described configuration, and an image photographed on the selected past date (eg: Recommendation information including photos and videos) may be generated. Hereinafter, each component in the image recommending apparatus 20 for realizing this will be described in more detail.
선별부(21)는 현재 날짜와 매칭되는 기후지수를 보인 과거 날짜를 선별하는 기능을 수행한다.The selection unit 21 performs a function of selecting a past date showing a climate index matching the current date.
보다 구체적으로, 선별부(21)는 단말(10)로부터 수신되는 추천 서비스 요청에 따라, 현재 날짜와 매칭된 기후지수를 보인 과거 날짜를 선별하게 된다.More specifically, the selection unit 21 selects a past date showing a climate index matched with the current date according to the recommended service request received from the terminal 10.
이때, 선별부(21)는 현재 날짜의 날씨 인자를 고려한 기후지수를 기준기후지수로 산출하고, 산출된 기준기후지수와, 기 저장되어 있는 과거 날짜 별 기후지수를 상호 비교하는 방식을 통해 현재 날짜와 매칭된 기후지수를 보인 과거 날짜를 선별할 수 있다.At this time, the selection unit 21 calculates the climate index in consideration of the weather factor of the current date as the reference climate index, and compares the calculated reference climate index with the previously stored climate index for each past date. Past dates that showed the climate index matched with can be selected.
여기서, 기준기후지수와 매칭된다는 것은, 기준기후지수와의 차이가 설정오차범위 이내인 유사 범주에 속한다는 것으로 이해될 수 있으며, 유사 범주를 판단하기 위한 설정오차범위는 추천 서비스의 정확도에 따라 그 수치가 가감되어 설정될 수 있음은 물론이다.Here, matching with the reference climate index can be understood as belonging to a similar category in which the difference from the reference climate index falls within the set error range, and the set error range for determining the similar category is determined according to the accuracy of the recommended service. It goes without saying that the number can be set by adding or subtracting it.
한편, 본 발명의 일 실시예에서의 추천 서비스는 지역 기반으로 제공될 수 있으며, 따라서 단말(10)로부터 특정 지역으로 한정된 영역에 대해 추천 서비스가 요청되는 경우를 고려할 수 있다.Meanwhile, the recommended service according to an embodiment of the present invention may be provided on an area basis, and thus, a case where a recommended service is requested for an area limited to a specific area from the terminal 10 may be considered.
여기서, 특정 지역은 예컨대, 단말(10)에 의해 지정된 지역, 또는 단말(10)이 현재 위치하고 있는 지역 내지는, 단말(10)의 현재 위치하고 있는 지역을 제외한 타 지역에 해당될 수 있다.Here, the specific area may correspond to, for example, an area designated by the terminal 10, an area in which the terminal 10 is currently located, or other areas excluding an area in which the terminal 10 is currently located.
이와 관련하여, 선별부(21)는 특정 지역에 대한 추천 서비스가 요청되는 경우, 추천 서비스가 요청된 특정 지역이 기후유지특성을 갖는지 여부를 판단하고, 그 판단 결과에 따라 기준기후지수와 매칭되는 기후지수를 보인 과거 날짜를 선별할 수 있다.In this regard, when a recommendation service for a specific area is requested, the selection unit 21 determines whether the specific area for which the recommendation service is requested has climate maintenance characteristics, and matches the reference climate index according to the determination result. You can select past dates that showed the climate index.
여기서, 기후유지특성이란, 일정기간 동안의 날짜 별 기후지수 간 차이가 설정오차범위 이내로 일정하게 유지되는 기후 특성을 일컫는다.Here, the climate maintenance characteristic refers to a climate characteristic in which the difference between climate indices by date for a certain period of time remains within a set error range.
예를 들어, 대한민국의 경우, 크게는 4개의 계절과, 작게는 24개의 절기로 구분되는 날씨 특성을 가지며, 동일 계절 또는 절기에 해당하는 일정기간 동안에는 비슷한 날씨가 유지되는데, 이처럼 동일 계절 또는 절기 동안에 비슷한 날씨가 유지되는 특성을 기후유지특성을 갖는다고 말할 수 있다.For example, in the case of Korea, the weather characteristics are divided into 4 seasons at a large and 24 seasons at a minimum, and similar weather is maintained during a certain period corresponding to the same season or season. The characteristics of maintaining similar weather can be said to have climate maintenance characteristics.
따라서, 선별부(21)는 특정 지역에 대한 추천 서비스가 요청되는 경우에는, 추천 서비스가 요청된 특정 지역이, 현재 날짜를 포함한 일정기간 동안 기후지수 간 차이가 설정오차범위 이내로 유지되는 기후유지특성을 갖는지 여부를 판단할 수 있다.Therefore, when a recommendation service for a specific area is requested, the selection unit 21 maintains a climate maintenance characteristic in which the difference between climate indices for a certain period including the current date is maintained within the set error range in the specific area for which the recommended service is requested. It can be determined whether or not.
이때, 선별부(21)는 추천 서비스가 요청된 특정 지역이 기후유지특성을 갖는 것으로 판단되는 경우에는, 기후유지특성이 유지되는 일정기간을 선별기간으로 지정하고, 지정된 선별기간에 해당하는 과거 날짜에 대해서만 기준기후지수와 매칭 여부를 확인한다.At this time, when it is determined that the specific region for which the recommended service is requested has climate maintenance characteristics, the selection unit 21 designates a certain period in which the climate maintenance characteristics are maintained as the selection period, and a past date corresponding to the specified selection period For only, it is checked whether it matches the reference climate index.
여기서, 선별기간에 해당하는 과거 날짜에 대해서만 매칭 여부를 확인하는 것은, 기준기후지수와 비교되는 대상을 선별기간으로 제한함으로써, 기준기후지수와 비교를 위해서 투입되는 리소스를 최소화하기 위함이다.Here, checking whether or not matching only with the past date corresponding to the selection period is to minimize the resources input for comparison with the reference climate index by limiting the target to be compared with the reference climate index to the selection period.
다시 말해, 선별기간이 특정되지 않는 경우, 기준기후지수와의 비교대상이 현재 날짜 이전의 과거 날짜 모두가 되는 반면, 선별기간이 제한되는 경우, 선별기간에 해당하는 과거 날짜만이 기준기후지수와의 비교를 위한 대상이 되므로 기준기후지수와 비교를 위해서 투입되는 리소스(예: 시간, 컴퓨팅 자원)를 최소화할 수 있는 것이다.In other words, when the screening period is not specified, the targets of comparison with the reference climate index are all past dates before the current date, whereas when the screening period is limited, only the past days corresponding to the screening period are compared with the reference climate index. Since it is a target for comparison of, it is possible to minimize the resources (e.g., time, computing resources) for comparison with the reference climate index.
지정부(22)는 과거 날짜 중 이미지 추출을 위한 추출대상날짜를 지정하는 기능을 수행한다.The designation unit 22 performs a function of designating an extraction target date for image extraction among past dates.
보다 구체적으로, 지정부(22)는 현재 날짜와 매칭된 기후지수를 보인 과거 날짜가 선별되면, 선별된 과거 날짜 중 적어도 일부를 이미지 추출을 위한 추출대상날짜로 지정하게 된다.More specifically, when a past date showing a climate index matched with the current date is selected, the designation unit 22 designates at least some of the selected past dates as an extraction target date for image extraction.
이때, 지정부(22)는 과거 날짜에 대해서 결정되는 기준기후지수와의 매칭률에 따라 선별된 과거 날짜 중 매칭률이 임계치 이상인 적어도 일부의 과거 날짜를 이미지 추출을 위한 추출대상날짜로 지정할 수 있다.In this case, the designation unit 22 may designate at least some of the past dates whose matching rate is greater than or equal to the threshold value among past dates selected according to the matching rate with the reference climate index determined for the past date as an extraction target date for image extraction. .
여기서, 기준기후지수와의 매칭률은, 서로 이웃한 2 이상의 날짜를 포함하는 기간을 포함하여 설정되는 매칭기간 동안의 기후지수 변동추이에 따라 결정될 수 있다.Here, the matching rate with the reference climate index may be determined according to a change in the climate index during a matching period set including a period including two or more adjacent dates.
이처럼, 매칭기간 동안의 날짜 별 기후지수 변동추이를 반영하여 기준기후지수와의 매칭률을 결정하는 것은 기준기후지수와 매칭되는 과거 특정 일의 날씨 상태뿐만 아니라, 기준기후지수와 매칭되는 과거 특정 날짜와 이웃한 일정 기간 동안의 날씨 동향을 함께 고려하기 위함이다.In this way, determining the matching rate with the reference climate index by reflecting the change of the climate index by date during the matching period is not only the weather condition of a specific day in the past that matches the reference climate index, but also a specific date in the past that matches the reference climate index. This is to consider the weather trends for a certain period of time in the vicinity of and.
이와 관련하여, 지정부(22)는 현재 날짜를 기간의 종료일로 하는 제1매칭기간과, 그리고 선별된 과거 날짜를 기간의 종료일 또는 개시일로 하는 제2매칭기간을 동일한 기간으로 설정하고, 제1매칭기간의 기후지수 변동추이와 제2매칭기간의 기후지수 변동추이 간의 유사도에 따라 기준기후지수와의 매칭률을 결정할 수 있다.In this regard, the designation unit 22 sets the first matching period with the current date as the end date of the period, and the second matching period with the selected past date as the end or start date of the period as the same period, and the first The matching rate with the reference climate index can be determined according to the similarity between the climate index fluctuation trend in the matching period and the climate index fluctuation trend in the second matching period.
예를 들어, 도 3을 참조하면, 현재 날짜(TC)와 제1과거 날짜(Tp 1), 제2과거 날짜(Tp 2), 제3과거 날짜(Tp 3), 및 제4과거 날짜(Tp 4)가 존재하며, 제3과거 날짜(Tp 3)가 기준기후지수와 매칭되는 과거 날짜로 선별된 경우를 가정하면, 현재 날짜(Tc)와 제1과거 날짜(Tp 1) 사이의 기간(D 1)이 제1매칭기간으로 설정되며, 제2과거 날짜(Tp 2), 제3과거 날짜(Tp 3) 사이의 기간(D 2), 또는 제3과거 날짜(Tp 3)와 제4과거 날짜(Tp 4) 사이의 기간(D 3)의 기간이 제2매칭기간으로 설정되어, 제1매칭기간(D 1)의 기후지수 변동추이와 제2매칭기간(D 2 또는 D 3)의 기후지수 변동추이 간의 유사도에 따라 기준기후지수와의 매칭률을 결정될 수 있는 것이다.For example, referring to FIG. 3, a current date (TC), a first past date (Tp 1 ), a second past date (Tp 2 ), a third past date (Tp 3 ), and a fourth past date (Tp). 4 ) exists, and assuming that the third past date (Tp 3 ) is selected as a past date that matches the reference climate index, the period between the current date (Tc) and the first past date (Tp 1) (D 1 ) is set as the first matching period, and the period between the second past date (Tp 2 ), the third past date (Tp 3 ) (D 2 ), or the third past date (Tp 3 ) and the fourth past date (Tp 4 ) The period of the period (D 3 ) is set as the second matching period, so that the climate index fluctuation trend of the first matching period (D 1 ) and the climate index of the second matching period (D 2 or D 3 ) The matching rate with the reference climate index can be determined according to the degree of similarity between the fluctuation trends.
여기서, 매칭기간 동안의 기후지수 변동추이는, 예컨대, 매칭기간 동안의 날짜 별 기후지수의 중앙 값, 평균 값, 및 표준 편차 중 적어도 하나의 수치 값(통계 값)으로 정의될 수 있다.Here, the climate index fluctuation trend during the matching period may be defined as at least one numerical value (statistical value) of, for example, a median value, an average value, and a standard deviation of the climate index for each date during the matching period.
결국, 본 발명의 일 실시예에서는, 제1매칭기간의 기후지수 통계 값과 제2매칭기간의 기후지수 통계 값 간에 차이가 적을수록 제1매칭기간과 제2매칭기간의 매칭률은 보다 높은 값으로 결정될 수 있는 것이다.After all, in an embodiment of the present invention, the smaller the difference between the climate index statistics value of the first matching period and the climate index statistics value of the second matching period, the higher the matching rate between the first matching period and the second matching period. It can be determined as.
한편, 본 발명의 일 실시예에 따른 지정부(22)의 경우, 추출대상날짜의 지정되는 경우, 지정된 추출대상날짜를 단말(10)로 제공함으로써, 단말(10)로 하여금, 자체 스토리지에 저장된 이미지 중 추출대상날짜에 촬영된 이미지를 추출하여, 추출된 이미지를 포함하는 추천정보를 생성하도록 지원할 수 있다.On the other hand, in the case of the designation unit 22 according to an embodiment of the present invention, when the extraction target date is designated, the designated extraction target date is provided to the terminal 10, thereby causing the terminal 10 to be stored in its own storage. It is possible to support to generate recommendation information including the extracted image by extracting an image photographed on an extraction target date from among the images.
이와 관련하여, 단말(10)은 이미지추천장치(20)에 대한 추천 서비스 요청에 대한 응답으로 이미지추천장치(20)로부터 추출대상날짜가 수신되는 경우, 자체 스토리지에 저장된 이미지 중 추출대상날짜에 촬영된 이미지가 존재하는지 여부를 확인하게 된다.In this regard, when the extraction target date is received from the image recommendation device 20 in response to a recommendation service request to the image recommendation device 20, the terminal 10 is photographed on the extraction target date among images stored in its own storage. It is checked whether or not the created image exists.
이때, 단말(10)은 추출대상날짜에 촬영된 이미지가 존재하면, 해당 이미지를 추출하여, 추출된 이미지가 기 정의된 추출대상객체를 포함하는지 여부를 판단하고, 추출대상객체를 포함하는 경우에 한해 해당 이미지를 포함하는 추천정보를 생성하여 사용자에게 표시(출력)하게 된다.At this time, if there is an image photographed on the extraction target date, the terminal 10 extracts the image, determines whether the extracted image includes a predefined extraction target object, and when the extraction target object is included. One year, recommendation information including the image is generated and displayed (printed) to the user.
여기서, 추출대상객체는, 이미지에 포함될 수 있는 객체의 유형으로서, 예컨대, 인물, 장소(풍광), 또는 날씨와 관련된 객체를 포함하여 정의될 수 있으며, 단순히 스크린 캡쳐본이나 사물을 촬영한 이미지는 이러한 추출대상객체에서 제외될 수 있다.Here, the object to be extracted is a type of object that can be included in the image, and can be defined including, for example, a person, a place (scenery), or an object related to the weather. It can be excluded from the object to be extracted.
한편, 단말(10)은 추출대상날짜에 촬영된 이미지가 자체 스토리지에 존재하지 않거나, 추출대상날짜에 촬영된 이미지 상에 기 정의된 추출대상객체가 포함되지 않는 경우라면, 이미지추천장치(20)에 대해서 추천정보의 생성을 재차 요청할 수 있다.On the other hand, the terminal 10, if the image photographed on the extraction target date does not exist in its own storage, or if a predefined extraction target object is not included in the image photographed on the extraction target date, the image recommendation device 20 You can request the generation of recommended information again.
생성부(23)는 추천정보를 생성하는 기능을 수행한다.The generation unit 23 performs a function of generating recommendation information.
보다 구체적으로, 생성부(23)는 단말(10)로부터 추천정보의 생성이 요청되는 경우, 추출대상날짜에 촬영된 이미지를 추출하여 추출된 이미지를 포함한 추천정보를 생성하여 생성된 추천정보를 단말(10)로 제공하게 된다.More specifically, when the generation of recommendation information is requested from the terminal 10, the generation unit 23 extracts an image photographed on the extraction target date, generates recommendation information including the extracted image, and generates the recommendation information generated by the terminal. (10) will be provided.
한편, 단말(10)은 추출대상날짜에 촬영된 이미지가 자체 스토리지에 존재하지 않거나, 추출대상날짜에 촬영된 이미지 상에 기 정의된 추출대상객체가 포함되지 않는 경우라면, 이미지추천장치(20)에 대해서 추천정보의 생성을 요청할 수 있다.On the other hand, the terminal 10, if the image photographed on the extraction target date does not exist in its own storage, or if a predefined extraction target object is not included in the image photographed on the extraction target date, the image recommendation device 20 You can request the generation of recommended information for.
이때, 생성부(23)는 단말(10)이 가입한 공유 서비스에서 가입자 간 공유되는 이미지로부터 추출대상날짜에 촬영된 이미지를 추출하여 추천정보를 생성할 수 있다.In this case, the generation unit 23 may generate recommendation information by extracting an image captured on an extraction target date from an image shared between subscribers in a shared service to which the terminal 10 subscribes.
이를 위해, 생성부(23)는 단말(10)이 가입한 적어도 하나의 공유 서비스에서 정의되는 가입자 간 친밀도에 따라 단말(10)과 관련된 가입자를 분류하여 2 이상의 추출대상그룹을 결정하고, 친밀도 우선순위에 따라 각 추출대상그룹에 속하는 가입자가 공유한 이미지로부터 추출대상날짜에 촬영된 이미지를 추출할 수 있다.To this end, the generation unit 23 classifies the subscribers related to the terminal 10 according to the intimacy between subscribers defined in at least one shared service to which the terminal 10 subscribes to determine two or more extraction target groups, and prioritizes the intimacy. An image captured on an extraction target date can be extracted from images shared by subscribers belonging to each extraction target group according to the ranking.
한편, 생성부(23)는 특정 추출대상그룹에서 공유되는 이미지 중 추출대상날짜가 존재하지 않거나, 또는 추출대상날짜에 촬영된 이미지 상에 기 정의된 추출대상객체가 포함되지 않는 경우라면, 친밀도 우선순위에 따라 다음 순서의 추출대상그룹으로 대상을 변경하여 추천정보를 생성하기 위한 위 과정을 반복할 수 있다.On the other hand, if the extraction target date does not exist among the images shared by a specific extraction target group or a predefined extraction target object is not included in the image photographed on the extraction target date, the generation unit 23 prioritizes intimacy. The above process for generating recommendation information can be repeated by changing the target to the next extraction target group according to the ranking.
이상에서 살펴본 바와 같이 본 발명의 일 실시예에 따른 이미지추천장치(20)의 구성에 따르면, 현재 날짜와 매칭된 기후지수(UTCI, Universal Thermal Climate Index)를 보인 과거 날짜를 선별하여, 선별된 과거 날짜에 촬영된 이미지(예: 사진, 동영상)를 포함한 추천정보를 제공함으로써, 추천정보로부터 현재 날짜의 기후지수에 적합한 이벤트 장소(과거 여행지) 및 옷차림 등의 코디 정보를 참고하는 것이 가능해지므로 추천 서비스에 대한 사용자 만족도 제고를 기대할 수 있다.As described above, according to the configuration of the image recommendation device 20 according to an embodiment of the present invention, by selecting the past date showing the Universal Thermal Climate Index (UTCI) matched with the current date, the selected past By providing recommended information including images taken on a date (e.g., photos, videos), it is possible to refer to coordinate information such as event locations (past travel destinations) and clothing suitable for the climate index of the current date from the recommended information. It can be expected to improve user satisfaction with.
이하에서는, 도 4를 참조하여 본 발명의 일 실시예에 따른 이미지추천장치(20)의 동작 방법을 설명하기로 한다.Hereinafter, a method of operating the image recommendation apparatus 20 according to an embodiment of the present invention will be described with reference to FIG. 4.
먼저, 선별부(21)는 단말(10)로부터 수신되는 추천 서비스 요청에 따라, 현재 날짜와 매칭된 기후지수를 보인 과거 날짜를 선별한다(S11-S13).First, the selection unit 21 selects a past date showing a climate index matched with the current date according to a recommendation service request received from the terminal 10 (S11-S13).
이때, 선별부(21)는 현재 날짜의 날씨 인자를 고려한 기후지수를 기준기후지수로 산출하고, 산출된 기준기후지수와, 기 저장되어 있는 과거 날짜 별 기후지수를 상호 비교함으로써, 현재 날짜와 매칭된 기후지수를 보인 과거 날짜를 선별할 수 있다.At this time, the selection unit 21 calculates the climate index in consideration of the weather factor of the current date as a reference climate index, and matches the current date by comparing the calculated reference climate index with the previously stored climate index for each past date. Past dates can be selected for the displayed climate index.
여기서, 기준기후지수와 매칭된다는 것은, 기준기후지수와의 차이가 설정오차범위 이내인 유사 범주에 속한다는 것으로 이해될 수 있으며, 유사 범주를 판단하기 위한 설정오차범위는 추천 서비스의 정확도에 따라 그 수치가 가감되어 설정될 수 있음은 물론이다.Here, matching with the reference climate index can be understood as belonging to a similar category in which the difference from the reference climate index falls within the set error range, and the set error range for determining the similar category is determined according to the accuracy of the recommended service. It goes without saying that the number can be set by adding or subtracting it.
한편, 본 발명의 일 실시예에서의 추천 서비스는 지역 기반으로 제공될 수 있으며, 따라서 단말(10)로부터 특정 지역으로 한정된 영역에 대해 추천 서비스가 요청되는 경우를 고려할 수 있다.Meanwhile, the recommended service according to an embodiment of the present invention may be provided on an area basis, and thus, a case where a recommended service is requested for an area limited to a specific area from the terminal 10 may be considered.
여기서, 특정 지역은 예컨대, 단말(10)에 의해 지정된 지역, 또는 단말(10)이 현재 위치하고 있는 지역 내지는, 단말(10)의 현재 위치하고 있는 지역을 제외한 타 지역에 해당된다.Here, the specific area corresponds to, for example, an area designated by the terminal 10, an area in which the terminal 10 is currently located, or other areas except the area in which the terminal 10 is currently located.
이와 관련하여, 선별부(21)는 특정 지역에 대한 추천 서비스가 요청되는 경우, 추천 서비스가 요청된 특정 지역이 기후유지특성을 갖는지 여부를 판단하고, 그 판단 결과에 따라 기준기후지수와 매칭되는 기후지수를 보인 과거 날짜를 선별할 수 있다.In this regard, when a recommendation service for a specific area is requested, the selection unit 21 determines whether the specific area for which the recommendation service is requested has climate maintenance characteristics, and matches the reference climate index according to the determination result. You can select past dates that showed the climate index.
여기서, 기후유지특성이란, 일정기간 동안 기후지수 간 차이가 설정오차범위 이내로 유지되는 기후 특성을 일컫는다.Here, the climate maintenance characteristic refers to a climate characteristic in which the difference between climate indices is maintained within a set error range for a certain period of time.
따라서, 선별부(21)는 특정 지역에 대한 추천 서비스가 요청되는 경우에는, 추천 서비스가 요청된 특정 지역이, 현재 날짜를 포함한 일정기간 동안 기후지수 간 차이가 설정오차범위 이내로 유지되는 기후유지특성을 갖는지 여부를 판단한다.Therefore, when a recommendation service for a specific area is requested, the selection unit 21 maintains a climate maintenance characteristic in which the difference between climate indices for a certain period including the current date is maintained within the set error range in the specific area for which the recommended service is requested. It is determined whether or not.
이때, 선별부(21)는 추천 서비스가 요청된 특정 지역이 기후유지특성을 갖는 것으로 판단되는 경우에는, 기후유지특성이 유지되는 일정기간을 선별기간으로 지정하고, 지정된 선별기간에 해당하는 과거 날짜에 대해서만 기준기후지수와 매칭 여부를 확인할 수 있다.At this time, when it is determined that the specific region for which the recommended service is requested has climate maintenance characteristics, the selection unit 21 designates a certain period in which the climate maintenance characteristics are maintained as the selection period, and a past date corresponding to the specified selection period It is possible to check whether or not it matches the reference climate index only for.
이어서, 지정부(22)는 현재 날짜와 매칭된 기후지수를 보인 과거 날짜가 선별되면, 선별된 과거 날짜 중 적어도 일부를 이미지 추출을 위한 추출대상날짜로 지정하여 단말(10)로 제공한다(S14-S15).Subsequently, when a past date showing a climate index matched with the current date is selected, the designation unit 22 designates at least a part of the selected past date as an extraction target date for image extraction and provides it to the terminal 10 (S14). -S15).
이때, 지정부(22)는 과거 날짜에 대해서 결정되는 기준기후지수와의 매칭률에 따라 선별된 과거 날짜 중 매칭률이 임계치 이상인 적어도 일부의 과거 날짜를 이미지 추출을 위한 추출대상날짜로 지정할 수 있다.In this case, the designation unit 22 may designate at least some of the past dates whose matching rate is greater than or equal to the threshold value among past dates selected according to the matching rate with the reference climate index determined for the past date as an extraction target date for image extraction. .
여기서, 기준기후지수와의 매칭률은, 서로 이웃한 2 이상의 날짜를 포함하는 기간으로 설정되는 매칭기간 동안의 기후지수 변동추이에 따라 결정될 수 있다.Here, the matching rate with the reference climate index may be determined according to a change in the climate index during the matching period, which is set as a period including two or more days adjacent to each other.
이처럼, 매칭기간 동안의 날짜 별 기후지수 변동추이를 반영하여 기준기후지수와의 매칭률을 결정하는 것은 기준기후지수와 매칭되는 과거 특정 일의 날씨 상태뿐만 아니라, 기준기후지수와 매칭되는 과거 특정 날짜와 이웃한 기간 동안의 날씨 동향을 함께 고려하기 위함이다.In this way, determining the matching rate with the reference climate index by reflecting the change of the climate index by date during the matching period is not only the weather condition of a specific day in the past that matches the reference climate index, but also a specific date in the past that matches the reference climate index. This is to take into account the weather trends during the neighboring period.
이와 관련하여, 지정부(22)는 현재 날짜를 기간의 종료일로 하는 제1매칭기간과, 그리고 선별된 과거 날짜를 기간의 종료일 또는 개시일로 하는 제2매칭기간을 동일한 기간으로 설정하고, 제1매칭기간의 기후지수 변동추이와 제2매칭기간의 기후지수 변동추이 간의 유사도에 따라 기준기후지수와의 매칭률을 결정할 수 있다.In this regard, the designation unit 22 sets the first matching period with the current date as the end date of the period, and the second matching period with the selected past date as the end or start date of the period as the same period, and the first The matching rate with the reference climate index can be determined according to the similarity between the climate index fluctuation trend in the matching period and the climate index fluctuation trend in the second matching period.
여기서, 매칭기간 동안의 기후지수 변동추이는, 예컨대, 매칭기간 동안의 날짜 별 기후지수의 중앙 값, 평균 값, 및 표준 편차 중 적어도 하나의 수치 값으로 정의될 수 있다.Here, the climate index fluctuation trend during the matching period may be defined as, for example, a numerical value of at least one of a median value, an average value, and a standard deviation of the climate index for each date during the matching period.
한편, 지정부(22)의 경우, 단계 'S15'에 따라 추출대상날짜의 지정되는 경우, 지정된 추출대상날짜를 단말(10)로 제공함으로써, 단말(10)로 하여금, 자체 스토리지에 저장된 이미지 중 추출대상날짜에 촬영된 이미지를 추출하여, 추출된 이미지를 포함하는 추천정보를 생성하도록 지원할 수 있다.On the other hand, in the case of the designation unit 22, when the extraction target date is designated according to step'S15', by providing the designated extraction target date to the terminal 10, the terminal 10 allows the It is possible to support to generate recommendation information including the extracted image by extracting the image photographed on the extraction target date.
이와 관련하여, 도 5에는 추천정보를 생성하는 단말(10)에서의 동작 방법을 개략적으로 보여주고 있다.In this regard, FIG. 5 schematically shows an operation method in the terminal 10 for generating recommendation information.
먼저, 단말(10)은 이미지추천장치(20)에 대한 추천 서비스 요청에 대한 응답으로 이미지추천장치(20)로부터 추출대상날짜가 수신되는 경우, 자체 스토리지에 저장된 이미지 중 추출대상날짜에 촬영된 이미지가 존재하는지 여부를 확인한다(S31-S33).First, when the extraction target date is received from the image recommendation device 20 in response to a recommendation service request to the image recommendation device 20, the terminal 10 is an image captured on the extraction target date among images stored in its own storage. It is checked whether or not is present (S31-S33).
이때 단말(10)은 추출대상날짜에 촬영된 이미지가 존재하면, 해당 이미지를 추출하여, 추출된 이미지가 기 정의된 추출대상객체를 포함하는지 여부를 판단하고, 추출대상객체를 포함하는 경우에 한해 해당 이미지를 포함하는 추천정보를 생성하여 사용자에게 표시(출력)한다(S33-S35, S38).At this time, if there is an image photographed on the extraction target date, the terminal 10 extracts the image, determines whether the extracted image includes a predefined extraction target object, and only when the extraction target object is included. Recommendation information including the corresponding image is generated and displayed (output) to the user (S33-S35, S38).
여기서, 추출대상객체는, 이미지에 포함될 수 있는 객체의 유형으로서, 예컨대, 인물, 장소(풍광), 또는 날씨와 관련된 객체를 포함하여 정의될 수 있으며, 단순히 스크린 캡쳐본이나 사물을 촬영한 이미지는 이러한 추출대상객체에서 제외될 수 있다.Here, the object to be extracted is a type of object that can be included in the image, and can be defined including, for example, a person, a place (scenery), or an object related to the weather. It can be excluded from the object to be extracted.
한편, 단말(10)은 단계 'S33'에서 추출대상날짜에 촬영된 이미지가 자체 스토리지에 존재하지 않는 것으로 확인되거나, 단계 'S34'에서 추출대상날짜에 촬영된 이미지 상에 기 정의된 추출대상객체가 포함되지 않는 경우라면, 이미지추천장치(20)에 대해서 추천정보의 생성을 재차 요청하여, 이미지추천장치(20)로부터 추천정보를 수신할 수 있다(S36-S37).On the other hand, the terminal 10 confirms that the image photographed on the extraction target date in step'S33' does not exist in its own storage, or the extraction target object defined in the image photographed on the extraction target date in step'S34' If is not included, it is possible to request the image recommendation device 20 to generate recommendation information again, and receive recommendation information from the image recommendation device 20 (S36-S37).
이하에서는 다시 도 4를 참조하여 이미지추천장치(20)에서의 동작 방법에 대한 설명을 이어 가기로 한다.Hereinafter, a description of the operation method in the image recommendation device 20 will be continued with reference to FIG. 4 again.
생성부(23)는 단계 'S15'를 통해 지정된 추출대상날짜 제공 이후 단말(10)로부터 추천정보의 생성이 요청되는 경우, 단말(10)이 가입한 공유 서비스에서 가입자 간 공유되는 이미지로부터 추출대상날짜에 촬영된 이미지를 추출하고, 추출된 이미지를 포함하는 추천정보를 생성하여 단말(10)로 제공한다(S16-S20).When the generation of recommendation information is requested from the terminal 10 after providing the extraction target date specified through step'S15', the generation unit 23 extracts the target from the image shared between subscribers in the shared service to which the terminal 10 subscribes. An image photographed on a date is extracted, and recommendation information including the extracted image is generated and provided to the terminal 10 (S16-S20).
이때, 생성부(23)는 단말(10)이 가입한 적어도 하나의 공유 서비스에서 정의되는 가입자 간 친밀도에 따라 단말(10)과 관련된 가입자를 분류하여 2 이상의 추출대상그룹을 결정하고, 친밀도 우선순위에 따라 각 추출대상그룹에 속하는 가입자가 공유한 이미지로부터 추출대상날짜에 촬영된 이미지를 추출하여, 추출된 이미지를 포함하는 추천정보를 생성할 수 있다.At this time, the generation unit 23 classifies the subscribers related to the terminal 10 according to the intimacy between subscribers defined in at least one shared service to which the terminal 10 subscribes, determines two or more extraction target groups, and prioritizes the intimacy. According to this, an image captured on an extraction target date may be extracted from an image shared by a subscriber belonging to each extraction target group, and recommendation information including the extracted image may be generated.
한편, 생성부(23)는 단계 'S18'에서 특정 추출대상그룹에서 공유되는 이미지 중 추출대상날짜가 존재하지 않거나, 또는 단계 'S19'에서 추출대상날짜에 촬영된 이미지 상에 기 정의된 추출대상객체가 포함되지 않는 경우라면, 친밀도 우선순위에 따라 다음 순서의 추출대상그룹으로 대상을 변경하여 추천정보를 생성하기 위한 위 과정을 반복할 수 있다(S21).On the other hand, the generation unit 23 does not have an extraction target date among the images shared by a specific extraction target group in step'S18', or a predefined extraction target on the image captured on the extraction target date in step'S19'. If the object is not included, the above process for generating recommendation information may be repeated by changing the target to the next extraction target group according to the intimacy priority (S21).
참고로, 본 발명의 일 실시예에서는 전술한 실시예뿐만 아니라 친밀도가 없는 이용자의 경우나 기타 노출될 수 있는 사진이 없는 이용자의 경우 서버에 저장된 전체공유사진 등을 이용, 추천정보를 생성하는 동작 또한 가능함은 물론이다.For reference, in one embodiment of the present invention, as well as the above-described embodiment, in the case of a user without intimacy or other users without a picture that may be exposed, the operation of generating recommendation information by using all shared pictures stored in the server. It is also possible, of course.
이상에서 살펴본 바와 같이 본 발명의 일 실시예에 따른 이미지추천장치(20)의 동작 방법에 따르면, 현재 날짜와 매칭된 기후지수(UTCI, Universal Thermal Climate Index)를 보인 과거 날짜를 선별하여, 선별된 과거 날짜에 촬영된 이미지(예: 사진, 동영상)를 포함한 추천정보를 제공함으로써, 추천정보로부터 현재 날짜의 기후지수에 적합한 이벤트 장소(과거 여행지) 및 옷차림 등의 코디 정보를 참고하는 것이 가능해지므로 추천 서비스에 대한 사용자 만족도 제고를 기대할 수 있다.As described above, according to the operating method of the image recommendation device 20 according to an embodiment of the present invention, a past date showing a Universal Thermal Climate Index (UTCI) matched with the current date is selected, and the selected By providing recommended information including images taken on a past date (eg, photos, videos), it is possible to refer to coordinate information such as event locations (past travel destinations) and clothing suitable for the climate index of the current date from the recommended information, so it is recommended. It can be expected to improve user satisfaction with the service.
한편, 본 명세서에서 설명하는 기능적인 동작과 주제의 구현물들은 디지털 전자 회로로 구현되거나, 본 명세서에서 개시하는 구조 및 그 구조적인 등가물들을 포함하는 컴퓨터 소프트웨어, 펌웨어 혹은 하드웨어로 구현되거나, 이들 중 하나 이상의 결합으로 구현 가능하다. 본 명세서에서 설명하는 주제의 구현물들은 하나 이상의 컴퓨터 프로그램 제품, 다시 말해 처리 시스템의 동작을 제어하기 위하여 혹은 이것에 의한 실행을 위하여 유형의 프로그램 저장매체 상에 인코딩된 컴퓨터 프로그램 명령에 관한 하나 이상의 모듈로서 구현될 수 있다.Meanwhile, the functional operations and implementations of the subject described in this specification are implemented as digital electronic circuits, or computer software, firmware, or hardware including the structures disclosed in this specification and structural equivalents, or at least one of them. It can be implemented in combination. Implementations of the subject matter described herein are one or more computer program products, i.e., one or more modules relating to computer program instructions encoded on a tangible program storage medium for execution by or for controlling the operation of a processing system. Can be implemented.
컴퓨터로 판독 가능한 매체는 기계로 판독 가능한 저장 장치, 기계로 판독 가능한 저장 기판, 메모리 장치, 기계로 판독 가능한 전파형 신호에 영향을 미치는 물질의 조성물 혹은 이들 중 하나 이상의 조합일 수 있다.The computer-readable medium may be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of materials that affect a machine-readable radio wave signal, or a combination of one or more of them.
본 명세서에서 "시스템"이나 "장치"라 함은 예컨대 프로그래머블 프로세서, 컴퓨터 혹은 다중 프로세서나 컴퓨터를 포함하여 데이터를 처리하기 위한 모든 기구, 장치 및 기계를 포괄한다. 처리 시스템은, 하드웨어에 부가하여, 예컨대 프로세서 펌웨어를 구성하는 코드, 프로토콜 스택, 데이터베이스 관리 시스템, 운영 체제 혹은 이들 중 하나 이상의 조합 등 요청 시 컴퓨터 프로그램에 대한 실행 환경을 형성하는 코드를 포함할 수 있다.In this specification, the term "system" or "device" encompasses all devices, devices, and machines for processing data, including, for example, a programmable processor, a computer, or multiple processors or computers. In addition to hardware, the processing system may include, for example, a code constituting a processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them, etc., to form an execution environment for a computer program upon request. .
컴퓨터 프로그램(프로그램, 소프트웨어, 소프트웨어 어플리케이션, 스크립트 혹은 코드로도 알려져 있음)은 컴파일되거나 해석된 언어나 선험적 혹은 절차적 언어를 포함하는 프로그래밍 언어의 어떠한 형태로도 작성될 수 있으며, 독립형 프로그램이나 모듈, 컴포넌트, 서브루틴 혹은 컴퓨터 환경에서 사용하기에 적합한 다른 유닛을 포함하여 어떠한 형태로도 전개될 수 있다. 컴퓨터 프로그램은 파일 시스템의 파일에 반드시 대응하는 것은 아니다. 프로그램은 요청된 프로그램에 제공되는 단일 파일 내에, 혹은 다중의 상호 작용하는 파일(예컨대, 하나 이상의 모듈, 하위 프로그램 혹은 코드의 일부를 저장하는 파일) 내에, 혹은 다른 프로그램이나 데이터를 보유하는 파일의 일부(예컨대, 마크업 언어 문서 내에 저장되는 하나 이상의 스크립트) 내에 저장될 수 있다. 컴퓨터 프로그램은 하나의 사이트에 위치하거나 복수의 사이트에 걸쳐서 분산되어 통신 네트워크에 의해 상호 접속된 다중 컴퓨터나 하나의 컴퓨터 상에서 실행되도록 전개될 수 있다.Computer programs (also known as programs, software, software applications, scripts or code) can be written in any form of a compiled or interpreted language or a programming language, including a priori or procedural language, and can be written as a standalone program or module, It can be deployed in any form, including components, subroutines, or other units suitable for use in a computer environment. Computer programs do not necessarily correspond to files in the file system. A program may be in a single file provided to the requested program, or in multiple interactive files (e.g., files that store one or more modules, subprograms or parts of code), or part of a file that holds other programs or data. (Eg, one or more scripts stored within a markup language document). The computer program may be deployed to run on one computer or multiple computers located at one site or distributed across a plurality of sites and interconnected by a communication network.
한편, 컴퓨터 프로그램 명령어와 데이터를 저장하기에 적합한 컴퓨터로 판독 가능한 매체는, 예컨대 EPROM, EEPROM 및 플래시메모리 장치와 같은 반도체 메모리 장치, 예컨대 내부 하드디스크나 외장형 디스크와 같은 자기 디스크, 자기광학 디스크 및 CD-ROM과 DVD-ROM 디스크를 포함하여 모든 형태의 비휘발성 메모리, 매체 및 메모리 장치를 포함할 수 있다. 프로세서와 메모리는 특수 목적의 논리 회로에 의해 보충되거나, 그것에 통합될 수 있다.Meanwhile, computer-readable media suitable for storing computer program instructions and data include, for example, semiconductor memory devices such as EPROM, EEPROM, and flash memory devices, such as magnetic disks such as internal hard disks or external disks, magneto-optical disks, and CDs. -May contain all types of nonvolatile memory, media and memory devices, including ROM and DVD-ROM disks. The processor and memory can be supplemented by special purpose logic circuitry or incorporated into it.
본 명세서에서 설명한 주제의 구현물은 예컨대 데이터 서버와 같은 백엔드 컴포넌트를 포함하거나, 예컨대 어플리케이션 서버와 같은 미들웨어 컴포넌트를 포함하거나, 예컨대 사용자가 본 명세서에서 설명한 주제의 구현물과 상호 작용할 수 있는 웹 브라우저나 그래픽 유저 인터페이스를 갖는 클라이언트 컴퓨터와 같은 프론트엔드 컴포넌트 혹은 그러한 백엔드, 미들웨어 혹은 프론트엔드 컴포넌트의 하나 이상의 모든 조합을 포함하는 연산 시스템에서 구현될 수도 있다. 시스템의 컴포넌트는 예컨대 통신 네트워크와 같은 디지털 데이터 통신의 어떠한 형태나 매체에 의해서도 상호 접속 가능하다.Implementations of the subject matter described herein include a backend component, such as a data server, or a middleware component such as an application server, or, for example, a web browser or graphical user that allows a user to interact with an implementation of the subject matter described herein. It may be implemented in a front-end component, such as a client computer having an interface, or a computing system that includes any combination of one or more of such back-ends, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication, for example a communication network.
본 명세서는 다수의 특정한 구현물의 세부사항들을 포함하지만, 이들은 어떠한 발명이나 청구 가능한 것의 범위에 대해서도 제한적인 것으로서 이해되어서는 안되며, 오히려 특정한 발명의 특정한 실시형태에 특유할 수 있는 특징들에 대한 설명으로서 이해되어야 한다. 마찬가지로, 개별적인 실시형태의 문맥에서 본 명세서에 기술된 특정한 특징들은 단일 실시형태에서 조합하여 구현될 수도 있다. 반대로, 단일 실시형태의 문맥에서 기술한 다양한 특징들 역시 개별적으로 혹은 어떠한 적절한 하위 조합으로도 복수의 실시형태에서 구현 가능하다. 나아가, 특징들이 특정한 조합으로 동작하고 초기에 그와 같이 청구된 바와 같이 묘사될 수 있지만, 청구된 조합으로부터의 하나 이상의 특징들은 일부 경우에 그 조합으로부터 배제될 수 있으며, 그 청구된 조합은 하위 조합이나 하위 조합의 변형물로 변경될 수 있다.While this specification includes details of a number of specific implementations, these should not be construed as limiting to the scope of any invention or claimable, but rather as a description of features that may be peculiar to a particular embodiment of a particular invention. It must be understood. Likewise, certain features described herein in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination. Furthermore, although features operate in a particular combination and may be initially described as so claimed, one or more features from a claimed combination may in some cases be excluded from the combination, and the claimed combination may be a sub-combination. Or sub-combination variations.
또한, 본 명세서에서는 특정한 순서로 도면에서 동작들을 묘사하고 있지만, 이는 바람직한 결과를 얻기 위하여 도시된 그 특정한 순서나 순차적인 순서대로 그러한 동작들을 수행하여야 한다거나 모든 도시된 동작들이 수행되어야 하는 것으로 이해되어서는 안 된다. 특정한 경우, 멀티태스킹과 병렬 프로세싱이 유리할 수 있다. 또한, 상술한 실시형태의 다양한 시스템 컴포넌트의 분리는 그러한 분리를 모든 실시형태에서 요구하는 것으로 이해되어서는 안되며, 설명한 프로그램 컴포넌트와 시스템들은 일반적으로 단일의 소프트웨어 제품으로 함께 통합되거나 다중 소프트웨어 제품에 패키징될 수 있다는 점을 이해하여야 한다In addition, although the present specification describes the operations in the drawings in a specific order, it is not understood that such operations should be performed in the specific order or sequential order shown in order to obtain a desirable result, or that all illustrated operations should be performed. Can not be done. In certain cases, multitasking and parallel processing can be advantageous. In addition, the separation of the various system components of the above-described embodiments should not be understood as requiring such separation in all embodiments, and the program components and systems described are generally integrated together into a single software product or packaged in multiple software products. It should be understood that you can
이와 같이, 본 명세서는 그 제시된 구체적인 용어에 본 발명을 제한하려는 의도가 아니다. 따라서, 상술한 예를 참조하여 본 발명을 상세하게 설명하였지만, 당업자라면 본 발명의 범위를 벗어나지 않으면서도 본 예들에 대한 개조, 변경 및 변형을 가할 수 있다. 본 발명의 범위는 상기 상세한 설명보다는 후술하는 특허청구범위에 의하여 나타내어지며, 특허청구범위의 의미 및 범위 그리고 그 등가개념으로부터 도출되는 모든 변경 또는 변형된 형태가 본 발명의 범위에 포함되는 것으로 해석되어야 한다.As such, this specification is not intended to limit the invention to the specific terms presented. Accordingly, although the present invention has been described in detail with reference to the above-described examples, those skilled in the art can make modifications, changes, and modifications to these examples without departing from the scope of the present invention. The scope of the present invention is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. do.

Claims (12)

  1. 현재 날짜에 대해 산출된 기후지수인 기준기후지수를 기초로 상기 현재 날짜와 매칭된 기후지수를 보인 과거 날짜를 선별하는 선별부; 및A selection unit that selects a past date showing a climate index matched with the current date based on a reference climate index, which is a climate index calculated for the current date; And
    상기 기준기후지수와의 매칭률에 따라 선별된 과거 날짜 중 적어도 일부를 이미지 추출을 위한 추출대상날짜로 지정하는 지정부를 포함하는 것을 특징으로 하는 이미지추천장치.And a designation unit for designating at least some of the past dates selected according to the matching rate with the reference climate index as an extraction target date for image extraction.
  2. 제 1 항에 있어서,The method of claim 1,
    상기 이미지추천장치는,The image recommendation device,
    상기 추출대상날짜에 촬영된 이미지를 추출하여 상기 추출된 이미지를 포함한 추천정보를 생성하는 생성부를 더 포함하는 것을 특징으로 하는 이미지추천장치.And a generator for generating recommendation information including the extracted image by extracting the image photographed on the extraction target date.
  3. 제 1 항에 있어서,The method of claim 1,
    상기 선별부는,The selection unit,
    상기 기준기후지수와의 설정오차범위 이내의 기후지수 차이를 보이는 과거 날짜를 선별하는 것을 특징으로 하는 이미지추천장치.An image recommendation device, characterized in that for selecting a past date showing a difference in a climate index within a set error range with the reference climate index.
  4. 제 1 항에 있어서,The method of claim 1,
    상기 선별부는,The selection unit,
    특정 지역에 대한 추천 서비스가 요구되는 경우, 상기 특정 지역이 상기 현재 날짜를 포함한 일정기간 동안 기후지수 간 차이가 설정오차범위 이내로 유지되는 기후유지특성을 갖는지 여부를 판단하며,When a recommended service for a specific area is requested, it is determined whether the specific area has a climate maintenance characteristic in which the difference between climate indexes is maintained within a set error range for a certain period including the current date,
    상기 특정 지역이 상기 기후유지특성을 갖는 것으로 판단되는 경우, 상기 일정기간을 선별기간으로 지정하여, 상기 선별기간에 해당하는 과거 날짜에 대해서만 상기 기준기후지수와 매칭 여부를 확인하는 것을 특징으로 하는 이미지추천장치.When it is determined that the specific region has the climate maintenance characteristics, the predetermined period is designated as a selection period, and the reference climate index is checked for matching only with respect to the past date corresponding to the selection period. Recommended device.
  5. 제 1 항에 있어서,The method of claim 1,
    상기 매칭률은,The matching rate is,
    서로 이웃한 2 이상의 날짜를 포함하는 기간인 매칭기간 동안의 기후지수 변동추이에 기초하여 결정되는 것을 특징으로 하는 이미지추천장치.An image recommendation device, characterized in that it is determined based on a climate index fluctuation trend during a matching period, which is a period including two or more adjacent dates.
  6. 제 5 항에 있어서,The method of claim 5,
    상기 매칭률은,The matching rate is,
    상기 현재 날짜를 기간의 종료일로 하는 제1매칭기간, 및 상기 기준기후지수와 매칭된 기후지수를 보인 과거 날짜를 기간의 종료일 또는 개시일로 하는 제2매칭기간에 대해서 기후지수 변동추이 간 유사도에 따라 결정되는 것을 특징으로 하는 이미지추천장치.According to the similarity between climate index fluctuation trends for the first matching period with the current date as the end date of the period, and the second matching period with the past date showing the climate index matched with the reference climate index as the end or start date of the period. Image recommendation device, characterized in that determined.
  7. 제 2 항에 있어서,The method of claim 2,
    상기 생성부는,The generation unit,
    상기 추출대상날짜에 촬영된 이미지가 상기 추천정보의 생성을 요청한 단말에 존재하지 않거나, 상기 추출대상날짜에 촬영된 이미지에 기 정의된 추출대상객체가 존재하지 않는 경우, 타 단말로부터 공유되는 이미지로부터 상기 추출대상날짜에 촬영된 이미지를 추출하여 추천정보를 생성하는 것을 특징으로 하는 이미지추천장치.When the image photographed on the extraction target date does not exist in the terminal that requested the generation of the recommendation information, or a predefined extraction target object does not exist in the image photographed on the extraction target date, from an image shared from another terminal An image recommendation device, characterized in that for generating recommendation information by extracting the image photographed on the extraction target date.
  8. 제 7 항에 있어서,The method of claim 7,
    상기 생성부는,The generation unit,
    상기 단말이 가입한 적어도 하나의 공유 서비스에서의 가입자 간 친밀도에 따라 상기 단말과 관련된 가입자를 분류하여 2 이상의 추출대상그룹을 결정하고, 상기 친밀도 우선순위에 따라 각 추출대상그룹에 속하는 가입자가 공유한 이미지로부터 상기 추출대상날짜에 촬영된 이미지를 추출하는 것을 특징으로 하는 이미지추천장치.The subscribers related to the terminal are classified according to the intimacy between subscribers in at least one shared service to which the terminal subscribes to determine two or more extraction target groups, and the subscribers belonging to each extraction target group according to the intimacy priority An image recommendation device, characterized in that extracting an image photographed on the extraction target date from the image.
  9. 현재 날짜에 대해 산출된 기후지수인 기준기후지수를 기초로 상기 현재 날짜와 매칭된 기후지수를 보인 과거 날짜를 선별하는 선별단계; 및A selection step of selecting a past date showing a climate index matched with the current date based on a reference climate index, which is a climate index calculated for the current date; And
    상기 기준기후지수와의 매칭률에 따라 선별된 과거 날짜 중 적어도 일부를 이미지 추출을 위한 추출대상날짜로 지정하는 지정단계를 포함하는 것을 특징으로 하는 이미지추천장치의 동작 방법.And a designating step of designating at least some of the past dates selected according to the matching rate with the reference climate index as an extraction target date for image extraction.
  10. 제 9 항에 있어서,The method of claim 9,
    상기 방법은,The above method,
    상기 추출대상날짜에 촬영된 이미지를 추출하여 상기 추출된 이미지를 포함한 추천정보를 생성하는 생성단계를 더 포함하는 것을 특징으로 하는 이미지추천장치의 동작 방법.And a generating step of generating recommendation information including the extracted image by extracting the image photographed on the extraction target date.
  11. 제 9 항에 있어서,The method of claim 9,
    상기 매칭률은,The matching rate is,
    서로 이웃한 2 이상의 날짜를 포함하는 기간인 매칭기간 동안의 기후지수 변동추이에 기초하여 결정되는 것을 특징으로 하는 이미지추천장치의 동작 방법.A method of operating an image recommendation apparatus, characterized in that it is determined based on a climate index fluctuation trend during a matching period, which is a period including two or more adjacent dates.
  12. 제 11 항에 있어서,The method of claim 11,
    상기 매칭률은,The matching rate is,
    상기 현재 날짜를 기간의 종료일로 하는 제1매칭기간, 및 상기 기준기후지수와 매칭된 기후지수를 보인 과거 날짜를 기간의 종료일 또는 개시일로 하는 제2매칭기간에 대해서 기후지수 변동추이 간 유사도에 따라 결정되는 것을 특징으로 하는 이미지추천장치의 동작 방법.According to the similarity between climate index fluctuation trends for the first matching period with the current date as the end date of the period, and the second matching period with the past date showing the climate index matched with the reference climate index as the end or start date of the period. Operation method of the image recommendation device, characterized in that determined.
PCT/KR2020/011067 2019-09-05 2020-08-19 Image recommendation device and operation method for image recommendation device WO2021045414A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020190110238A KR102093733B1 (en) 2019-09-05 2019-09-05 Image recommending apparatus, and control method thereof
KR10-2019-0110238 2019-09-05

Publications (1)

Publication Number Publication Date
WO2021045414A1 true WO2021045414A1 (en) 2021-03-11

Family

ID=69958578

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2020/011067 WO2021045414A1 (en) 2019-09-05 2020-08-19 Image recommendation device and operation method for image recommendation device

Country Status (2)

Country Link
KR (1) KR102093733B1 (en)
WO (1) WO2021045414A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102093733B1 (en) * 2019-09-05 2020-03-26 김지수 Image recommending apparatus, and control method thereof

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140091554A (en) * 2011-11-17 2014-07-21 마이크로소프트 코포레이션 Automatic tag generation based on image content
KR20140113336A (en) * 2013-03-14 2014-09-24 삼성전자주식회사 Method and apparatus for driving application for logging personal events
KR20170016176A (en) * 2015-08-03 2017-02-13 엘지전자 주식회사 Mobile terminal and method for controlling the same
KR20170072071A (en) * 2015-12-16 2017-06-26 에스케이플래닛 주식회사 Method and Apparatus for Providing Recommended Contents
KR20180135171A (en) * 2017-06-12 2018-12-20 (주)오렌지디지트코리아 System for posting of social media contents, and operating method thereof
KR102093733B1 (en) * 2019-09-05 2020-03-26 김지수 Image recommending apparatus, and control method thereof

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140091554A (en) * 2011-11-17 2014-07-21 마이크로소프트 코포레이션 Automatic tag generation based on image content
KR20140113336A (en) * 2013-03-14 2014-09-24 삼성전자주식회사 Method and apparatus for driving application for logging personal events
KR20170016176A (en) * 2015-08-03 2017-02-13 엘지전자 주식회사 Mobile terminal and method for controlling the same
KR20170072071A (en) * 2015-12-16 2017-06-26 에스케이플래닛 주식회사 Method and Apparatus for Providing Recommended Contents
KR20180135171A (en) * 2017-06-12 2018-12-20 (주)오렌지디지트코리아 System for posting of social media contents, and operating method thereof
KR102093733B1 (en) * 2019-09-05 2020-03-26 김지수 Image recommending apparatus, and control method thereof

Also Published As

Publication number Publication date
KR102093733B1 (en) 2020-03-26

Similar Documents

Publication Publication Date Title
WO2013081282A1 (en) System and method for recommending application by using keyword
WO2013103243A1 (en) Method and terminal for sharing content
WO2017138766A1 (en) Hybrid-based image clustering method and server for operating same
WO2015034269A1 (en) Image processing method and device
CN104052931A (en) Image shooting device, method and terminal
WO2013089372A1 (en) Method and system for sharing content by using context information
WO2018174505A1 (en) Methods and apparatus for generating video content
WO2020071809A1 (en) Method and apparatus for enhanced assertion management in cloud media processing
US20150100582A1 (en) Association of topic labels with digital content
WO2020085558A1 (en) High-speed analysis image processing apparatus and driving method for apparatus
WO2014065444A1 (en) Collaboration system using open public network
WO2015102126A1 (en) Method and system for managing electronic album using face recognition technology
WO2015147437A1 (en) Mobile service system, and method and device for generating location-based album in same system
WO2013103231A1 (en) System and method for providing content list through social network service
WO2021040318A1 (en) Distributed learning method, server and application using identification card recognition model, and identification card recognition method through same
WO2021045414A1 (en) Image recommendation device and operation method for image recommendation device
WO2019156543A2 (en) Method for determining representative image of video, and electronic device for processing method
WO2018016810A1 (en) Display device and method for recommending contents of the display device
WO2021049855A1 (en) Method and electronic device for capturing roi
WO2013129729A1 (en) System for searching augmented reality image in real-time by using layout descriptor and image feature point
CN113556518B (en) Video data scheduling method, device, equipment and storage medium
WO2019198950A1 (en) Apparatus for providing content information and method therefor
WO2016093652A2 (en) Family album service providing method for enabling family album to be used by enabling family members to access cloud server through telephone number
EP3714607A1 (en) Method, apparatus and system for managing electronic fingerprint of electronic file
WO2015129987A1 (en) Service apparatus for providing object recognition-based advertisement, user equipment for receiving object recognition-based advertisement, system for providing object recognition-based advertisement, method therefor and recording medium therefor in which computer program is recorded

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: 20860061

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: 20860061

Country of ref document: EP

Kind code of ref document: A1