CN107506735A - Photo classifying method and taxis system - Google Patents
Photo classifying method and taxis system Download PDFInfo
- Publication number
- CN107506735A CN107506735A CN201710751533.7A CN201710751533A CN107506735A CN 107506735 A CN107506735 A CN 107506735A CN 201710751533 A CN201710751533 A CN 201710751533A CN 107506735 A CN107506735 A CN 107506735A
- Authority
- CN
- China
- Prior art keywords
- photo
- classification
- face
- face feature
- feature data
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
Classifications
-
- 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
- G06V40/161—Detection; Localisation; Normalisation
-
- 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
- G06V40/168—Feature extraction; Face representation
-
- 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
- G06V40/172—Classification, e.g. identification
Abstract
The embodiment of the present invention provides a kind of photo classifying method, applied to mobile terminal, including：Gather the face feature data of multiple special objects；The face feature data are associated with classification ID；From photo identify face number, and one by one with the face feature comparing；According to comparison result by the photo classification, to realize classified browse photo.The embodiment of the present invention is realized carries out photo classification by face recognition technology, improves the intelligence degree of photo classification.The embodiment of the present invention provides a kind of photo taxis system simultaneously.
Description
Technical field
The present invention relates to computer realm, and in particular to a kind of photo classifying method and taxis system.
Background technology
With the raising of the camera performance of mobile terminal, increasing user, which likes taking pictures using mobile terminal, to be stayed
Read.But with the increase of number of pictures, bring a problem：I.e. user needs by hand to classify to photo.Divide by hand
Class not only makes photo classification work become cumbersome but also can produce classification error.
It is therefore desirable to provide a kind of more intelligent photo classification method, to meet user Geng Gao requirement.
The content of the invention
In view of this, the present invention provides a kind of photo classifying method and photo taxis system, there is provided intelligentized photo point
Class method, to meet the higher requirement of user.
It is according to embodiments of the present invention in a first aspect, the embodiment of the present invention provides a kind of photo classifying method, applied to shifting
Dynamic terminal, including：
Gather the face feature data of multiple special objects；
The face feature data are associated with classification ID；
From photo identify face number, and one by one with the face feature comparing；
According to comparison result by the photo classification, to realize classified browse photo.
Preferably, the face image of the multiple special objects of collection includes：
Shoot the face image of each special object respectively by camera；And
Face feature data are gathered from the face image；
It is described by the face image with classification ID associate including：
Create classification ID, each ID that classifies and at least correspond to the face feature data of a special object.
Preferably, in addition to：
Gather the information data of the multiple special object；And
According to described information data creation classification ID.
Preferably, in addition to：From photo identify face number, and one by one with the face feature comparing it
Before, the photo and the face image are subjected to image preprocessing.
Preferably, the photo classification is included according to the comparison result：
When the similarity of the photo and the face feature data of a special object exceedes given threshold, by the photograph
Piece is referred in classification ID corresponding to the object.
Preferably, when two and the face feature data of the object of the above in the photo and the multiple special object
Similarity when exceeding given threshold, preferentially by the photo be referred to described two and the above object simultaneously corresponding to classify
In ID.
Preferably, in addition to：When the similarity of the photo and the face image is below given threshold, by described in
Photo is referred in same classification ID.
Preferably, the multiple special object is the owner and kinsfolk of mobile terminal, and the classification ID includes
Photo, kinsfolk's photo and other photos in person.
According to the second aspect of the invention, there is provided a kind of photo taxis system, applied to mobile terminal, including：
Acquisition module, for gathering the face feature data of multiple special objects；
Relating module, for being associated the multiple special object with classification ID according to the face feature data；
Comparing module, for by photo one by one with the face feature comparing；
Sort module, for according to comparison result by the photo classification, to realize classified browse photo.
Preferably, the acquisition module includes：
Shooting unit, for shooting the face image of each special object respectively by camera；
Extraction unit, for gathering face feature data from the face image.
The embodiment of the present invention provides a kind of photo classifying method, applied to mobile terminal, including：Gather multiple special objects
Face feature data；The face feature data are associated with classification ID；Face number is identified from photo, and one by one and institute
State face feature comparing；According to comparison result by the photo classification, to realize classified browse photo.The embodiment of the present invention
Realize and photo classification is carried out by face recognition technology, improve the intelligence degree of photo classification.The embodiment of the present invention is simultaneously
A kind of photo taxis system is provided.
Brief description of the drawings
By referring to description of the following drawings to the embodiment of the present invention, above-mentioned and other purpose of the invention, feature and
Advantage will be apparent from, in the accompanying drawings：
Fig. 1 is the flow chart of photo classifying method according to embodiments of the present invention；
Fig. 2 is the flow chart of the acquisition step in Fig. 1 photo classifying method；
Fig. 3 be in Fig. 1 photo classifying method " from photo identify face number, and one by one with the face feature
The flow chart of the step of comparing "；
Fig. 4 is the structure chart of photo taxis system according to embodiments of the present invention.
Embodiment
Below based on embodiment, present invention is described, but the present invention is not restricted to these embodiments.Under
It is detailed to describe some specific detail sections in the literary detailed description to the present invention.Do not have for a person skilled in the art
The description of these detail sections can also understand the present invention completely.In order to avoid obscuring the essence of the present invention, known method, mistake
Journey, flow do not describe in detail.What other accompanying drawing was not necessarily drawn to scale.
Flow chart, block diagram in accompanying drawing illustrate the possible system frame of the system of the embodiment of the present invention, method, apparatus
Frame, function and operation, the square frame on flow chart and block diagram can represent a module, program segment or only one section of code, institute
It is all the executable instruction for realizing regulation logic function to state module, program segment and code.It should also be noted that described realize rule
Determining the executable instruction of logic function can reconfigure, so as to generate new module and program segment.Therefore accompanying drawing square frame with
And square frame order is used only to the process and step of preferably diagram embodiment, without should be in this, as the limit to invention itself
System.
Fig. 1 is the flow chart of photo classifying method according to embodiments of the present invention.This method is used for camera function
Mobile terminal, wherein mobile terminal include but is not limited to smart mobile phone, IPAD, digital camera etc..Referring to Fig. 2, the photo is returned
Class method comprises the following steps.
In a step 101, the face feature data of multiple special objects are gathered.
Acquisition mode does not limit, for example, the camera for directly opening mobile terminal gathers the face of some special objects
Image.Such as, the face image of owner, kinsfolk, business associate, university classmate etc..Or from existing photo acquisition
The face image of special object.Face image based on the special object collected carries out recognition of face, gets face feature
Data are used for unique mark special object.So-called face feature data include the feature such as eyes, nose, face, hair line
Data quantization is carried out, determines their size, position and distance between the two etc..Then these data are saved,
As a certain special object characteristic.
In a step 102, the face feature data are associated with classification ID.
The ID that classifies is used for the classification of unique mark face feature data, it will be appreciated that is：Used after special object is grouped
The ID that classifies is identified.One classification ID can correspond to one or more face characteristic data.For example, the face by all colleagues in company
Portion's image is classified as in " business associate " this classification ID.Or the face image of every member of family is gathered, it is classified as " family
In this classification of member " ID.Similarly, a special object can be simultaneously in two different classification.For example, object A exists
" business associate ", also in " university classmate ".
In step 103, from photo identify face number, and one by one with the face feature comparing.
First, face number is identified from the photo of mobile terminal memory block, and is entered one by one with each face feature data
Row compares.Photo in mobile terminal memory block is probably take, landscape takes, pet picture, object picture or above-mentioned more
Intersection of photo of type etc., therefore, face recognition is carried out using face recognition technology first, face number is obtained and enters again
Row and existing face feature data are compared.Face recognition technology is the face feature based on people, first to the photo of input
First judge that it whether there is face, if there is face, then further provide position, size and each main face of each face
The positional information of portion's organ.And according to these information, itself and known face image are contrasted, so as to identify everyone
Face.In addition, in order to strengthen comparison effect, before being compared, photo can also be subjected to image preprocessing, for example, removing
Background noise, only retain character image.
At step 104, according to comparison result by the photo classification, to realize classified browse photo.
This step can use following three kinds of processing modes：
1. if only include the face image of 1 special object in photo, the photo is referred to the special object
In corresponding classification ID；
2. if include the face image of the special object of two or more in photo, the photo can be returned simultaneously
Classify corresponding to class to each object in ID, if the corresponding classification ID of two or more object compositions, then will
The photo is also referred under classification ID simultaneously.For example, photo friends.jpg includes A, tri- facial images of B, C, its
In, A, B, C respectively corresponding to classification ID be ListA, ListB and ListC, while A and the B ID that correspondingly classifies are Colleague, because
This, friends.jpg is referred to ListA, ListB simultaneously, under ListC and Colleague.
3. for the 2nd kind of situation, also a kind of processing mode, i.e., photo is preferentially ranged while correspond to most classification
Under.For example, foregoing friends.jpg photo, is only referred under Colleague, is no longer referred to ListA,
In ListB and ListC.
It is worth noting that, photo classification necessarily changes the physical storage locations of photo., will in enforceable mode
Photo classification data recorded in database, when accessing photo every time, the record in automatic reading database, obtain classification number
According to the classification results shown according to grouped data browse photo.
In the above-described embodiments, can be with the information data of each special object of typing, and by itself and face feature data
Put together storage.
Fig. 2 is the flow chart of the acquisition step in Fig. 1 photo classifying method, for identifying owner and the family of mobile terminal
The face image of front yard member, specifically includes following steps.
In step 201, the face image of owner and its kinsfolk are shot by camera.
In step 202, face feature data are extracted.
In step 203, by face feature data Cun Chudao databases.
To sum up, this embodiment describes the face image that logical shooting style obtains owner and kinsfolk.Specifically, pass through
Camera shoots face image, and face characteristic is obtained by face recognition technology, and these characteristic storages are got up, and is formed multiple
Owner and the essential characteristic database of kinsfolk, for differentiating photo.User subsequently can also be by system interface to
It is set up essential characteristic data to be operated, such as essential characteristic data is updated, delete, supplemented.
Fig. 3 be in Fig. 1 photo classifying method " from photo identify face number, and one by one with the face feature
The flow chart of the step of comparing ", specifically includes following steps.
In step 301, the photo of storage on mobile terminals is read in circulation.
In step 302, for every photo, the face number in photo is calculated.
In step 303, by face one by one with the face feature comparing in database.
In step 304, judge that similarity exceedes the face number of threshold value.
In step 305, photo is referred to the object by the similarity only with a face feature data more than threshold value
In classification ID.
Within step 306, exceed threshold value with two or more face feature data and photo is referred to corresponding number
Measure in most classification ID.
In step 307, photo is referred in the classification ID of the object.
To sum up, in the present embodiment, the photo in mobile terminal memory block is read in circulation, for every photo, passes through people
Face identification technology identifies face quantity, and based on face quantity one by one by the face feature comparing in face and database,
Judge its similarity.Similarity threshold is set, calculates the face quantity for being more than threshold requirement in photo, if quantity is equal to 0,
Not sort out, or be categorized under common classification, if quantity is equal to 1, photo was categorized under corresponding classify, if quantity
More than 1, then preferentially photo is categorized under the corresponding at most classification of a face characteristic.Hereby it is achieved that pass through classified browse photo.
It should be noted that the classification ID in above-described embodiment can be pre-created, the information of object can also got
Data automatically generate.For example, when gathering special object information, the name of special object is referred to as the ID that classifies.
Present invention simultaneously provides a kind of photo taxis system, as shown in Figure 4.Fig. 4 is photo according to embodiments of the present invention
The structure chart of taxis system.
The photo taxis system, including：Acquisition module 401, relating module 402, comparing module 403 and sort module 404.
Acquisition module 401 is used for the face feature data for gathering multiple special objects.Acquisition module can directly open movement
The camera of terminal gathers the face image of some special objects, or, scheme from the face of existing photo acquisition special object
Picture.Face image based on the special object collected carries out recognition of face, gets face feature data.So-called face feature
Data include the feature such as eyes, nose, face, hair line and carry out data quantization, determine their size, position and two
The distance between person etc..Then these data are saved, forms face feature storehouse for later retrieval, renewal and supplement.
Relating module 402 is used to be associated multiple special objects with classification ID according to face feature data.By special object
With classification ID marks after being grouped.One classification ID can correspond to one or more face characteristic data.Equally, one it is specific
Object can be simultaneously in two different classification.
Comparing module 403 be used for by photo one by one with the face feature comparing.Identified by face recognition technology
Face number in photo, and be compared one by one with existing face feature data.
Sort module 404 is used for the photo classification according to comparison result, to realize classified browse photo.According to face
Similarity is classified, and after point good classification, is browsed.
In an optional embodiment, collecting unit 401 includes shooting unit and extraction unit.Shooting unit is used to lead to
Cross the face image that camera shoots each special object respectively.Extraction unit is used to gather face feature number from face image
According to.
The embodiment of the present invention provides a kind of photo classifying method and photo taxis system, the photo classifying method and passes through face
Identification technology carries out photo classification.Preferably, set identification to sort out priority, a photo is preferentially referred to respective amount most
In more classification.
Application provided by the invention recommends method and apparatus to can be implemented as computer program product, the computer program
Product includes the computer program being stored on non-transient computer readable storage medium storing program for executing, and the computer program refers to including program
Order, when described program instruction is computer-executed, computer is able to carry out the photo that above-mentioned each method embodiment is provided and returned
Class method.
Application provided by the invention recommends method and apparatus to be embodied as non-transient computer readable storage medium storing program for executing, institute
Non-transient computer readable storage medium storing program for executing storage computer instruction is stated, it is above-mentioned each that the computer instruction performs the computer
The photo classifying method that embodiment of the method is provided.
System and a method according to the invention can be deployed on single or multiple servers.For example, can will be different
Module is disposed on a different server respectively, forms private server.Or can the distributed deployment on multiple servers
Identical functional unit, module or system, to mitigate load pressure.The server includes but is not limited in same LAN
And pass through multiple PCs of Internet connections, PC server, rolling reamer machine, supercomputer etc..
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for those skilled in the art
For, the present invention can have various changes and change.All any modifications made within spirit and principles of the present invention, it is equal
Replace, improve etc., it should be included in the scope of the protection.
Claims (10)
1. a kind of photo classifying method, applied to mobile terminal, including：
Gather the face feature data of multiple special objects；
The face feature data are associated with classification ID；
From photo identify face number, and one by one with the face feature comparing；
According to comparison result by the photo classification, to realize classified browse photo.
2. photo classifying method according to claim 1, wherein, the face image bag of the multiple special objects of collection
Include：
Shoot the face image of each special object respectively by camera；And
Face feature data are gathered from the face image；
It is described by the face image with classification ID associate including：
Create classification ID, each ID that classifies and at least correspond to the face feature data of a special object.
3. photo classifying method according to claim 2, wherein, in addition to：
Gather the information data of the multiple special object；And
According to described information data creation classification ID.
4. photo classifying method according to claim 1, in addition to：From photo identify face number, and one by one and
Before the face feature comparing, the photo and the face image are subjected to image preprocessing.
5. photo classifying method according to claim 1, wherein, according to the comparison result by the photo classification bag
Include：
When the similarity of the photo and the face feature data of a special object exceedes given threshold, the photo is returned
In classification ID corresponding to class to the object.
6. photo classifying method according to claim 1, wherein, two in the photo and the multiple special object
When the similarity of the face feature data of individual and the above object exceedes given threshold, the photo is preferentially referred to described two
Individual and the above object is simultaneously in corresponding classification ID.
7. the photo classifying method according to claim 5 or 6, in addition to：When the phase of the photo and the face image
When being below given threshold like degree, the photo is referred in same classification ID.
8. the photo classifying method according to any one of claim 1 to 7, wherein, the multiple special object is mobile whole
The owner and kinsfolk at end, the classification ID include my photo, kinsfolk's photo and other photos.
9. a kind of photo taxis system, applied to mobile terminal, including：
Acquisition module, for gathering the face feature data of multiple special objects；
Relating module, for being associated the multiple special object with classification ID according to the face feature data；
Comparing module, for by photo one by one with the face feature comparing；
Sort module, for according to comparison result by the photo classification, to realize classified browse photo.
10. photo classifying method according to claim 9, wherein, the acquisition module includes：
Shooting unit, for shooting the face image of each special object respectively by camera；
Extraction unit, for gathering face feature data from the face image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710751533.7A CN107506735A (en) | 2017-08-28 | 2017-08-28 | Photo classifying method and taxis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710751533.7A CN107506735A (en) | 2017-08-28 | 2017-08-28 | Photo classifying method and taxis system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107506735A true CN107506735A (en) | 2017-12-22 |
Family
ID=60693789
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710751533.7A Pending CN107506735A (en) | 2017-08-28 | 2017-08-28 | Photo classifying method and taxis system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107506735A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109165564A (en) * | 2018-08-01 | 2019-01-08 | 广州视源电子科技股份有限公司 | Electron album, generation method, system, storage medium and computer equipment |
| CN109274574A (en) * | 2018-07-24 | 2019-01-25 | 杭州尚课网络科技有限公司 | A kind of method and system for realizing that photo is intelligently distributed based on face recognition technology |
| CN112637042A (en) * | 2018-09-26 | 2021-04-09 | 深圳市云歌人工智能技术有限公司 | Method, apparatus and storage medium for distributing information based on priority |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070077264A (en) * | 2006-01-23 | 2007-07-26 | (주)씨아이피시스템 | A method of face recognizing |
| CN101859367A (en) * | 2009-04-07 | 2010-10-13 | 北京算通数字技术研究中心有限公司 | Digital photo sorting method, device and application system thereof |
| CN102033958A (en) * | 2010-12-28 | 2011-04-27 | Tcl数码科技（深圳）有限责任公司 | Photo sort management system and method |
| CN103294793A (en) * | 2013-05-23 | 2013-09-11 | 上海斐讯数据通信技术有限公司 | File management method and mobile terminal |
| CN104778168A (en) * | 2014-01-09 | 2015-07-15 | 联想(北京)有限公司 | Data processing method and device |
| CN104915349A (en) * | 2014-03-12 | 2015-09-16 | 联想(北京)有限公司 | Data sharing method and electronic equipment |
| CN104951426A (en) * | 2014-03-26 | 2015-09-30 | 联想移动通信软件（武汉）有限公司 | Taken photo classified processing method and device and terminal equipment |
| CN105574167A (en) * | 2015-12-17 | 2016-05-11 | 惠州Tcl移动通信有限公司 | Mobile terminal-based automatic photograph naming processing method and system |
| CN106250396A (en) * | 2016-07-19 | 2016-12-21 | 厦门雅迅网络股份有限公司 | A kind of image tag automatic creation system and method |
| CN106777334A (en) * | 2017-01-12 | 2017-05-31 | 珠海格力电器股份有限公司 | A kind of photo classification storage method, device and mobile terminal |
| CN106961373A (en) * | 2016-01-08 | 2017-07-18 | 中国联合网络通信集团有限公司 | Mobile terminal method for picture sharing and device |
-
2017
- 2017-08-28 CN CN201710751533.7A patent/CN107506735A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20070077264A (en) * | 2006-01-23 | 2007-07-26 | (주)씨아이피시스템 | A method of face recognizing |
| CN101859367A (en) * | 2009-04-07 | 2010-10-13 | 北京算通数字技术研究中心有限公司 | Digital photo sorting method, device and application system thereof |
| CN102033958A (en) * | 2010-12-28 | 2011-04-27 | Tcl数码科技（深圳）有限责任公司 | Photo sort management system and method |
| CN103294793A (en) * | 2013-05-23 | 2013-09-11 | 上海斐讯数据通信技术有限公司 | File management method and mobile terminal |
| CN104778168A (en) * | 2014-01-09 | 2015-07-15 | 联想(北京)有限公司 | Data processing method and device |
| CN104915349A (en) * | 2014-03-12 | 2015-09-16 | 联想(北京)有限公司 | Data sharing method and electronic equipment |
| CN104951426A (en) * | 2014-03-26 | 2015-09-30 | 联想移动通信软件（武汉）有限公司 | Taken photo classified processing method and device and terminal equipment |
| CN105574167A (en) * | 2015-12-17 | 2016-05-11 | 惠州Tcl移动通信有限公司 | Mobile terminal-based automatic photograph naming processing method and system |
| CN106961373A (en) * | 2016-01-08 | 2017-07-18 | 中国联合网络通信集团有限公司 | Mobile terminal method for picture sharing and device |
| CN106250396A (en) * | 2016-07-19 | 2016-12-21 | 厦门雅迅网络股份有限公司 | A kind of image tag automatic creation system and method |
| CN106777334A (en) * | 2017-01-12 | 2017-05-31 | 珠海格力电器股份有限公司 | A kind of photo classification storage method, device and mobile terminal |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109274574A (en) * | 2018-07-24 | 2019-01-25 | 杭州尚课网络科技有限公司 | A kind of method and system for realizing that photo is intelligently distributed based on face recognition technology |
| CN109165564A (en) * | 2018-08-01 | 2019-01-08 | 广州视源电子科技股份有限公司 | Electron album, generation method, system, storage medium and computer equipment |
| CN109165564B (en) * | 2018-08-01 | 2021-10-26 | 广州视源电子科技股份有限公司 | Electronic photo album, generation method, system, storage medium and computer equipment |
| CN112637042A (en) * | 2018-09-26 | 2021-04-09 | 深圳市云歌人工智能技术有限公司 | Method, apparatus and storage medium for distributing information based on priority |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9892342B2 (en) | Automatic image product creation for user accounts comprising large number of images | |
| JP5934653B2 (en) | Image classification device, image classification method, program, recording medium, integrated circuit, model creation device | |
| US8416997B2 (en) | Method of person identification using social connections | |
| US8594385B2 (en) | Predicting the aesthetic value of an image | |
| US8660378B2 (en) | Image evaluating device for calculating an importance degree of an object and an image, and an image evaluating method, program, and integrated circuit for performing the same | |
| US20130251201A1 (en) | System and method for recommending buddies in social network | |
| US20140293069A1 (en) | Real-time image classification and automated image content curation | |
| US20100226564A1 (en) | Framework for image thumbnailing based on visual similarity | |
| US9626550B2 (en) | Grouping face images using statistic distribution estimate | |
| US10032091B2 (en) | Spatial organization of images based on emotion face clouds | |
| US8837787B2 (en) | System and method for associating a photo with a data structure node | |
| WO2022121485A1 (en) | Image multi-tag classification method and apparatus, computer device, and storage medium | |
| KR100647337B1 (en) | Method and apparatus for category-based photo clustering using photographic region templates of digital photo | |
| CN107506735A (en) | Photo classifying method and taxis system | |
| JP2014092955A (en) | Similar content search processing device, similar content search processing method and program | |
| WO2015102711A2 (en) | A method and system of enforcing privacy policies for mobile sensory devices | |
| US9792535B2 (en) | Automatic image product creation for user accounts comprising large number of images | |
| US9495617B2 (en) | Image product creation based on face images grouped using image product statistics | |
| Boteanu et al. | Hierarchical clustering pseudo-relevance feedback for social image search result diversification | |
| JP6789175B2 (en) | Image recognizers, methods, and programs | |
| US9594946B2 (en) | Image product creation based on face images grouped using image product statistics | |
| Li et al. | Image content clustering and summarization for photo collections | |
| CN109992568B (en) | Information processing method and device | |
| Takano et al. | Photo Sharing Service for Recommending Sightseeing Places | |
| Cavalcanti et al. | A survey on automatic techniques for enhancement and analysis of digital photography |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171222 |