WO2014043738A1 - Facial recognition with social networking aiding - Google Patents

Facial recognition with social networking aiding Download PDF

Info

Publication number
WO2014043738A1
WO2014043738A1 PCT/AU2013/000944 AU2013000944W WO2014043738A1 WO 2014043738 A1 WO2014043738 A1 WO 2014043738A1 AU 2013000944 W AU2013000944 W AU 2013000944W WO 2014043738 A1 WO2014043738 A1 WO 2014043738A1
Authority
WO
WIPO (PCT)
Prior art keywords
requester
computer
image
camera apparatus
facial
Prior art date
Application number
PCT/AU2013/000944
Other languages
French (fr)
Inventor
Brett Thornton
Original Assignee
Brett Thornton
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 Brett Thornton filed Critical Brett Thornton
Publication of WO2014043738A1 publication Critical patent/WO2014043738A1/en

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
    • H04N1/00127—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture
    • H04N1/00326—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture with a data reading, recognizing or recording apparatus, e.g. with a bar-code apparatus
    • H04N1/00328—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture with a data reading, recognizing or recording apparatus, e.g. with a bar-code apparatus with an apparatus processing optically-read information
    • H04N1/00336—Connection or combination of a still picture apparatus with another apparatus, e.g. for storage, processing or transmission of still picture signals or of information associated with a still picture with a data reading, recognizing or recording apparatus, e.g. with a bar-code apparatus with an apparatus processing optically-read information with an apparatus performing pattern recognition, e.g. of a face or a geographic feature
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/27—Server based end-user applications
    • H04N21/274—Storing end-user multimedia data in response to end-user request, e.g. network recorder
    • H04N21/2743—Video hosting of uploaded data from client
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/4223—Cameras
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
    • H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
    • H04N21/4788—Supplemental services, e.g. displaying phone caller identification, shopping application communicating with other users, e.g. chatting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81—Monomedia components thereof
    • H04N21/8146—Monomedia components thereof involving graphical data, e.g. 3D object, 2D graphics
    • H04N21/8153—Monomedia components thereof involving graphical data, e.g. 3D object, 2D graphics comprising still images, e.g. texture, background image
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N2201/00—Indexing scheme relating to scanning, transmission or reproduction of documents or the like, and to details thereof
    • H04N2201/0077—Types of the still picture apparatus
    • H04N2201/0084—Digital still camera

Definitions

  • An embodiment of the disclosed invention defines the designed camera, purposely built to house the hardware and software outlined in the flow diagram above.
  • the camera will consist of a high resolution aperture (008) to detail the aspects of algorithms, used in the face recognition/geo-cities and landmark tagging process.
  • At least one embodiment of the invention incorporates telecommunications network modules with the apparatus, e.g. microSIM / Wi-Fi.
  • the microSim/Wi-Fi's module's integration defines communications to remote website servers and/or social networking sites.
  • the camera will also consist of a high resolution capacitive or resistive touch-screen (001 ).
  • This touch-screen (001 ) will be the centre of the user's functions.
  • the user will have complete control over the camera's functionality, menus and setup.
  • the touch-screen (001 ) will consist of an alpha-numeric keypad for data input.
  • the camera will consist of user defined input secure login options.
  • such options can include voice recognition, capacitance screen finger print, or on-screen data input password options.
  • the disclosed embodiments relate generally to identify security reasons behind the user login options, and to protect to user's camera against theft or other usages not permitted by the user, according to an embodiment of the invention.
  • the login features will access quick features. This will allow the user to set the camera up in the quickest time possible, in order to provide a picture ready camera, according to another embodiment of the invention.
  • the camera will use technology incorporated into most branded models. Furthermore, in at least one embodiment of the invention, face detection, voice recognition, smile detection technology, etc., can be used to quickly identify people's/location in either single or plural object in the image. Program code embodied on the apparatus, will then is able to isolate objects on the image, and use facial recognition algorithms to single out each person in the photo.
  • At least one embodiment of the invention analyses background objects on the image and queries shapes, colours, shades, etc to known locations cross referenced with GPS co-ordinates (005) and mapping software.
  • An embodiment of the invention includes the methods of process and the use of facial recognition software installed on the camera device, to analyse and query names, identifiers, locations and facial features from image created. With the request of download/updates from Social Networking API site's and servers, facial recognition on added and tagged friends are queried and identified. [1005] With onboard CPU (007), RAM (012) and media storage devices (003), queries/tags/identification, facial analysis and algorithms are queried to known tagged people identities, therefore being able to quickly retrieve and analyse known templates, based on these tags.
  • identity/location tags can also be processed via the camera's CPU (007) and queried against face recognition tags.
  • the telecommunications can retrieve such data from the social network's API for analysis and templating.
  • the software allows the algorithm query process images from different situations (such as: day/night picture quality, facial angles, facial distance, etc.) and to analyse and develop templates for each person.
  • a query can be computed with speed and accuracy within the device.
  • At least one embodiment uses the access of GPS (005) and Wi-Fi (006) communications for geo-city locations.
  • mapping software such as Google Maps, Apple Maps, etc can accurately locate the pictures.
  • landmarks such as Sydney Harbour Bridge, The Pyramids, Mt. Fuji can be queried and analysed.
  • location recognition identifiers can be placed on to the image.
  • identified landmarks can be controlled by the devices input (voice recognition (002), touch-screen (001 )) methods to add web-based hyper links at selected points on the image, to add creation and expansion to the image created.
  • the program embodied on the storage media device (003) will be used to carry out various methods of computing and storing data. With the use of other programming languages alongside the iOS (e.g. C++, Java, Flash Media, Excel, API programmes), details and descriptions will be added to complete the format of file ready for editing, storing and transmitting.
  • iOS e.g. C++, Java, Flash Media, Excel, API programmes
  • the camera also embodies a microphone (002) which adds detailed expansion to the functionality of input methods.
  • An embodiment of the invention includes voice recognition software embedded onto the camera to recognize voice commands. Voice commands can be identified by speech characteristics such as pitch, syllables, notes, etc.
  • characteristics can be identified and programmed to can carry out specific menu functions, name/location tagging and also can extend to the name of the created file and format.
  • At least one embodiment of the invention uses the microphone (002) to record voice captions which can be added to the image.
  • the audio file can be embedded onto the image file format, or as a separate media file that can be identified and stamped with image coding.
  • Another embodiment uses the microphone (002) as the input module to interface with the embedded software. With voice recognition queries and GPS aided queries, together with image, recognition location matches can singularly or plurality cross-referenced and tagged.
  • FIG. 1012 Another embodiment uses various types of storage media (003) for input/output data storage.
  • the medium for storage may be, but not limited to, computer readable devices e.g. flash cards or HDD.
  • RAM random access memory
  • CPU central process units
  • the storage medium (003) can retrieve, via telecommunications/Wi-Fi, previous uploaded photos from their social networking service and display them on screen with already tagged people/places.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Human Computer Interaction (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Graphics (AREA)
  • General Engineering & Computer Science (AREA)
  • Telephone Function (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Transfer Between Computers (AREA)
  • Image Analysis (AREA)

Abstract

An embodiment of the invention includes a method of camera design, purposely built to house the hardware and software to instantly tag/identify the user's friends, family and locations. The camera utilises installed face-recognition and landscape recognition software to query images, then communicate through telecommunications to transmit images with social networking sites/developers and the internet.

Description

FACIAL RECOGNITION WITH SOCIAL NETWORKING AIDING
DETAILED DESCRIPTION
[1001] An embodiment of the disclosed invention defines the designed camera, purposely built to house the hardware and software outlined in the flow diagram above. In addition to the embodiment, the camera will consist of a high resolution aperture (008) to detail the aspects of algorithms, used in the face recognition/geo-cities and landmark tagging process.
Thus at least one embodiment of the invention incorporates telecommunications network modules with the apparatus, e.g. microSIM / Wi-Fi. The microSim/Wi-Fi's module's integration defines communications to remote website servers and/or social networking sites.
In yet another embodiment, the camera will also consist of a high resolution capacitive or resistive touch-screen (001 ). This touch-screen (001 ) will be the centre of the user's functions. For example, in at least one embodiment, the user will have complete control over the camera's functionality, menus and setup. Inclusive in the embodiment, the touch-screen (001 ) will consist of an alpha-numeric keypad for data input.
[1002] According to some embodiments, the camera will consist of user defined input secure login options. For example, included in the embodiment, such options can include voice recognition, capacitance screen finger print, or on-screen data input password options.
The disclosed embodiments relate generally to identify security reasons behind the user login options, and to protect to user's camera against theft or other usages not permitted by the user, according to an embodiment of the invention. Thus to secure any data to and from the device and their communications to servers, internet connectivity and social networking services.
The login features will access quick features. This will allow the user to set the camera up in the quickest time possible, in order to provide a picture ready camera, according to another embodiment of the invention.
[1003] The camera will use technology incorporated into most branded models. Furthermore, in at least one embodiment of the invention, face detection, voice recognition, smile detection technology, etc., can be used to quickly identify people's/location in either single or plural object in the image. Program code embodied on the apparatus, will then is able to isolate objects on the image, and use facial recognition algorithms to single out each person in the photo.
In addition, at least one embodiment of the invention, analyses background objects on the image and queries shapes, colours, shades, etc to known locations cross referenced with GPS co-ordinates (005) and mapping software.
[1004] An embodiment of the invention includes the methods of process and the use of facial recognition software installed on the camera device, to analyse and query names, identifiers, locations and facial features from image created. With the request of download/updates from Social Networking API site's and servers, facial recognition on added and tagged friends are queried and identified. [1005] With onboard CPU (007), RAM (012) and media storage devices (003), queries/tags/identification, facial analysis and algorithms are queried to known tagged people identities, therefore being able to quickly retrieve and analyse known templates, based on these tags.
With the aid of voice recognition, identity/location tags can also be processed via the camera's CPU (007) and queried against face recognition tags.
[1006] For example, in at least one embodiment, the use of known identities/peoples and the use of any updated profile pictures or tagged status, the telecommunications (004) can retrieve such data from the social network's API for analysis and templating.
With large amounts of data collected, the software allows the algorithm query process images from different situations (such as: day/night picture quality, facial angles, facial distance, etc.) and to analyse and develop templates for each person. In creating a database of friend's tagged pictures, a query can be computed with speed and accuracy within the device.
[1007] In addition, at least one embodiment uses the access of GPS (005) and Wi-Fi (006) communications for geo-city locations. With the stamping of co-ordinates and location, mapping software such as Google Maps, Apple Maps, etc can accurately locate the pictures. With 3D map interaction, landmarks such as Sydney Harbour Bridge, The Pyramids, Mt. Fuji can be queried and analysed. With known templates based on these landmarks, location recognition identifiers can be placed on to the image. With the use of computer programming languages, identified landmarks can be controlled by the devices input (voice recognition (002), touch-screen (001 )) methods to add web-based hyper links at selected points on the image, to add creation and expansion to the image created.
[1008] The program embodied on the storage media device (003) will be used to carry out various methods of computing and storing data. With the use of other programming languages alongside the iOS (e.g. C++, Java, Flash Media, Excel, API programmes), details and descriptions will be added to complete the format of file ready for editing, storing and transmitting.
[1009] The camera also embodies a microphone (002) which adds detailed expansion to the functionality of input methods. An embodiment of the invention includes voice recognition software embedded onto the camera to recognize voice commands. Voice commands can be identified by speech characteristics such as pitch, syllables, notes, etc. These
characteristics can be identified and programmed to can carry out specific menu functions, name/location tagging and also can extend to the name of the created file and format.
[1010] Thus at least one embodiment of the invention uses the microphone (002) to record voice captions which can be added to the image. The audio file can be embedded onto the image file format, or as a separate media file that can be identified and stamped with image coding. [101 1] Another embodiment uses the microphone (002) as the input module to interface with the embedded software. With voice recognition queries and GPS aided queries, together with image, recognition location matches can singularly or plurality cross-referenced and tagged.
[1012] Another embodiment uses various types of storage media (003) for input/output data storage. The medium for storage, may be, but not limited to, computer readable devices e.g. flash cards or HDD. Furthermore, in at least one embodiment of the invention consists of random access memory (RAM) and one or more central process units (CPU).
For example, in at least one embodiment, the storage medium (003) can retrieve, via telecommunications/Wi-Fi, previous uploaded photos from their social networking service and display them on screen with already tagged people/places.
[1013] The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. Therefore, the illustrative descriptions or discussions above are not intended to be exhaustive or limit the invention to the precise forms disclosed. Many modifications and variations are possible in view of the above teachings. The embodiments were chosen and described in order to best explain the principles of the invention and its practical applications, thereby enabling others skilled in the art to best utilize the inventions and various embodiments with various modifications as are suited to the principal use contemplated.
The corresponding structures, materials, acts, and equivalents of all means plus function elements in the claims below are intended to include any structure, or material, to perform the function in combination with other claimed elements as specifically claimed.

Claims

What is claimed is:
1 . A computer-implemented method of processing a visual query including a facial image performed on a camera apparatus having one or more processors and memory storing one or more programs for execution by the one or more processors to perform the method comprising:
receiving from the requester, a visual query one or more facial images
including a particular facial image
indentifying possible image matches that possibly match the particular facial image in accordance with visual similarity criteria, the probable image matches comprising images from one or more image sources identified in accordance with data concerning the requester;
indentifying one or more persons related with the probable image matches;
retrieving, for each distinguished identity, identity specific data obtained from a
plurality of social networking applications;
collating a list of identified persons by rank from singular or plural visual metrics and
conveying to the requester one person indentified from the submitted list,
2. The computer-implemented camera apparatus method of claim 1 ,
in which the selected group of applications consist of one or more communications of plural applications: social networking applications, instant messaging applications, social micro- blogs, etc.
determining an amount of communication between a particular person and the requester on one or more communication applications; and
determining a hierarchy rank for the particular person, in which a factor determines the amount of data communicated between the application by the identified person and requester
3. The computer-implemented camera apparatus method of claim 1 ,
Determining whether the requester and the particular person are directly connected in a particular social networking application, and
collating a list of identified persons by rank from determining whether the requester and the particular person are directly connected in a relevant social networking application.
4. The computer-implemented camera apparatus method of claim 1 , 2 and 3,
In which the identity-specific data for the particular person further comprises characteristics resulting from similar images of the particular person;
5. The computer-implemented camera apparatus method of claim 4,
In which the characteristics resulting from similar images of the particular identity include image capture date and time information; and
In which the method further comprises:
Determining the image capture date and time information is dissimilar to the date and time of similar images of the particular person
6. The computer-implemented camera apparatus method of claim 4 and 5,
In which the characteristics resulting from similar images of the particular person include the information of gathered form visual facial characteristics such as: skin colour, eye colour, hair colour, skin features, facial aspect feature, and so on.
7. The computer-implemented camera apparatus method, of processing a visual query of a facial image, through one or more CPU processors, through one or more storage devices, through one or more computer applications for:
Obtain from the requester, a visual query including one or more facial image
Identifying probable image matches in accordance with comprising images from one or more images in relation with data requested from the client
PCT/AU2013/000944 2012-09-06 2013-08-26 Facial recognition with social networking aiding WO2014043738A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
AU2012101375A AU2012101375A4 (en) 2012-09-06 2012-09-06 FutureNetID
AU2012101375 2012-09-06

Publications (1)

Publication Number Publication Date
WO2014043738A1 true WO2014043738A1 (en) 2014-03-27

Family

ID=47017215

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/AU2013/000944 WO2014043738A1 (en) 2012-09-06 2013-08-26 Facial recognition with social networking aiding

Country Status (2)

Country Link
AU (1) AU2012101375A4 (en)
WO (1) WO2014043738A1 (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017070519A1 (en) 2015-10-21 2017-04-27 15 Seconds of Fame, Inc. Methods and apparatus for false positive minimization in facial recognition applications
US10591281B2 (en) 2015-07-15 2020-03-17 15 Seconds of Fame, Inc. Apparatus and methods for facial recognition and video analytics to identify individuals in contextual video streams
US10936856B2 (en) 2018-08-31 2021-03-02 15 Seconds of Fame, Inc. Methods and apparatus for reducing false positives in facial recognition
US11010596B2 (en) 2019-03-07 2021-05-18 15 Seconds of Fame, Inc. Apparatus and methods for facial recognition systems to identify proximity-based connections
US11341351B2 (en) 2020-01-03 2022-05-24 15 Seconds of Fame, Inc. Methods and apparatus for facial recognition on a user device

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090060289A1 (en) * 2005-09-28 2009-03-05 Alex Shah Digital Image Search System And Method
US20110038512A1 (en) * 2009-08-07 2011-02-17 David Petrou Facial Recognition with Social Network Aiding

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090060289A1 (en) * 2005-09-28 2009-03-05 Alex Shah Digital Image Search System And Method
US20110038512A1 (en) * 2009-08-07 2011-02-17 David Petrou Facial Recognition with Social Network Aiding

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10591281B2 (en) 2015-07-15 2020-03-17 15 Seconds of Fame, Inc. Apparatus and methods for facial recognition and video analytics to identify individuals in contextual video streams
WO2017070519A1 (en) 2015-10-21 2017-04-27 15 Seconds of Fame, Inc. Methods and apparatus for false positive minimization in facial recognition applications
EP3365838A4 (en) * 2015-10-21 2019-08-28 15 Seconds Of Fame, Inc. Methods and apparatus for false positive minimization in facial recognition applications
US10654942B2 (en) 2015-10-21 2020-05-19 15 Seconds of Fame, Inc. Methods and apparatus for false positive minimization in facial recognition applications
US11286310B2 (en) 2015-10-21 2022-03-29 15 Seconds of Fame, Inc. Methods and apparatus for false positive minimization in facial recognition applications
US10936856B2 (en) 2018-08-31 2021-03-02 15 Seconds of Fame, Inc. Methods and apparatus for reducing false positives in facial recognition
US11636710B2 (en) 2018-08-31 2023-04-25 15 Seconds of Fame, Inc. Methods and apparatus for reducing false positives in facial recognition
US11010596B2 (en) 2019-03-07 2021-05-18 15 Seconds of Fame, Inc. Apparatus and methods for facial recognition systems to identify proximity-based connections
US11341351B2 (en) 2020-01-03 2022-05-24 15 Seconds of Fame, Inc. Methods and apparatus for facial recognition on a user device

Also Published As

Publication number Publication date
AU2012101375A4 (en) 2012-10-18

Similar Documents

Publication Publication Date Title
US11822600B2 (en) Content tagging
US9805060B2 (en) System and method for predicting a geographic origin of content and accuracy of geotags related to content obtained from social media and other content providers
US10163042B2 (en) Finding missing persons by learning features for person attribute classification based on deep learning
JP5801395B2 (en) Automatic media sharing via shutter click
US9317530B2 (en) Face recognition based on spatial and temporal proximity
CN111886842B (en) Remote user authentication using threshold-based matching
US20160034559A1 (en) Method and device for classifying content
KR101782590B1 (en) Method for Providing and Recommending Related Tag Using Image Analysis
US20160314608A1 (en) Automated User Content Processing for Augmented Reality
CN107077504B (en) Supplementary information request
KR101534808B1 (en) Method and System for managing Electronic Album using the Facial Recognition
WO2014043738A1 (en) Facial recognition with social networking aiding
WO2021051547A1 (en) Violent behavior detection method and system
KR101715708B1 (en) Automated System for Providing Relation Related Tag Using Image Analysis and Method Using Same
KR101479260B1 (en) Method for searching closeness between people based on photos
US11048745B2 (en) Cognitively identifying favorable photograph qualities
US20220004652A1 (en) Providing images with privacy label
CN112396060B (en) Identification card recognition method based on identification card segmentation model and related equipment thereof
US20180341855A1 (en) Location tagging for visual data of places using deep learning
US10972656B2 (en) Cognitively coaching a subject of a photograph
US20190362148A1 (en) Method and system for enabling information in augmented reality applications
AU2020103160B4 (en) Data integrity management in a computer network
JP2014042170A (en) Photographing system, photographing support method, photographing device and control method of the same, management device and control method of the same, and program
CN107038090A (en) Selection includes the method and electronic equipment, system, computer program product and computer-readable recording medium of the content of audio-visual data
KR102485811B1 (en) Method, system, and non-transitory computer readable record medium for filtering image using keyword extracted form image

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: 13838897

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: 13838897

Country of ref document: EP

Kind code of ref document: A1