CN106250439A - Cohesion display systems and method between photo personage - Google Patents
Cohesion display systems and method between photo personage Download PDFInfo
- Publication number
- CN106250439A CN106250439A CN201610595751.1A CN201610595751A CN106250439A CN 106250439 A CN106250439 A CN 106250439A CN 201610595751 A CN201610595751 A CN 201610595751A CN 106250439 A CN106250439 A CN 106250439A
- Authority
- CN
- China
- Prior art keywords
- photo
- cohesion
- personage
- yellow book
- module
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Library & Information Science (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Human Computer Interaction (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Computation (AREA)
- Evolutionary Biology (AREA)
- Databases & Information Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Processing Or Creating Images (AREA)
Abstract
The present invention relates to photo management application.This provides cohesion methods of exhibiting between a kind of photo personage, and system scans the picture format file of file to be presented, extracts the face characteristic code of all personages in all photos；Any one personage of default is as Yellow Book, by Yellow Book setting a personage's head portrait comprising face as Yellow Book head portrait, face characteristic code according to all personages that the face characteristic code comparison that Yellow Book head portrait is corresponding is extracted, the photo including identical face condition code is filtered out, extracts photographic intelligence；The rest may be inferred filters out the photo corresponding to all Yellow Books and is placed in the packet of corresponding Yellow Book, forms index database；Then, system be grouped based on Yellow Book in the photographic intelligence cohesion that calculates in Yellow Book personage in this packet and group photo between other personages, and show.It is applicable to combine cohesion display systems and method between the photo personage of Identification of Images and group photo information.
Description
Technical field
The present invention relates to photo management application, intimate particularly to combining between the photo personage of Identification of Images and group photo information
Degree display systems and method.
Background technology
Along with the universal and people of intelligence photographing device take pictures the formation of custom, photograph taking increasingly day-to-day, magnanimity
Change；But existing software and hardware can not meet the demand of user on displaying, Classification Management photo, causes photo in a device
Disorderly and unsystematic, it is distributed scattered, is unfavorable for that people quickly search photo.Daily life people gather less and separate more, and has the honor to meet as staying
The magnanimity photo although love has been taken a group photo, but conventional display mode allows the content between photo quite isolate, especially before person to person
Cohesion present aspect, content isolation perusing plus a sheet by a sheet photo, allow people be difficult to quickly view and oneself kith and kin
Between group photo.
Summary of the invention
The technical problem to be solved, it is simply that provide between a kind of photo personage cohesion display systems and method with
Realize user can quickly consult and oneself more group photo between toots's thing.
The present invention solves described technical problem, employed technical scheme comprise that, cohesion display systems between photo personage, including
Scanned photograph module, extraction face characteristic code module, condition code contrast module, index database module, cohesion computing module, inquiry
Module and cohesion display module；
Described scanned photograph module, for scanning the picture format file of file to be presented, gets rid of non-photograph class picture,
Retain photo and store；
Described extraction face characteristic code module, for extracting in scanned photograph module the face of all personages in all photos
Condition code；
Described index database module, is used for setting any one personage as Yellow Book, by setting one in Yellow Book
The individual personage's head portrait of face that comprises is as Yellow Book head portrait；
Described condition code contrast module, for the institute extracted according to the face characteristic code comparison that Yellow Book head portrait is corresponding
There is the face characteristic code of personage, the photo including identical face condition code is filtered out, extract photographic intelligence, by photo and photograph
Sheet information is placed on after being associated in corresponding Yellow Book packet, and described photographic intelligence at least includes number of pictures, photo
Shooting time and spot for photography；The like by described condition code contrast module human face similarity degree contrast, filter out respectively
Photo corresponding to all Yellow Books is placed in corresponding Yellow Book packet；
Described cohesion computing module, for calculating the face characteristic code similarity ratio of two personages to be calculated, group photo
Quantity accounts for photo total amount ratio, group photo number of times accounts for group photo photo total amount ratio, group photo place quantity accounts for group photo generally some quantity ratio
Value, and calculate the meansigma methods of above-mentioned all ratio, the highest then cohesion of meansigma methods is the highest；Otherwise then cohesion is the lowest；
Described cohesion display module, for showing the cohesion between personage to be presented and other group photo personages.
Concrete, described index database module, it is additionally operable to the photo i.e. personage group photo comprising multiple face characteristic code, by rope
Draw option and carry out many subseries, set up many portrait photographs index database based on group photo relation.
Concrete, also include enquiry module, described enquiry module, the photographic intelligence in search index option is grouped,
And photo deletion or moditied processing can be carried out or move across Yellow Book.
Concrete, the exhibition method of described cohesion display module includes carrying out cohesion height arrangement according to preset rules
Show, Yellow Book packet is shown, the cohesion between personage shown in index and group photo photo packet is shown.
Cohesion methods of exhibiting between photo personage, comprises the following steps:
Step 1, system scan the picture format file of file to be presented, get rid of non-photograph class picture, retain photo, and
Extract the face characteristic code of all personages in all photos；
Any one personage of step 2, default, as Yellow Book, comprises face by setting one in Yellow Book
Personage's head portrait as Yellow Book head portrait, extract according to the face characteristic code comparison that Yellow Book head portrait is corresponding everyone
The face characteristic code of thing, filters out the photo including identical face condition code, extracts photographic intelligence, photo and photo is believed
Breath is placed on after being associated in corresponding Yellow Book packet；The rest may be inferred by people's appearance of described condition code contrast module
Seemingly spend contrast, filter out the photo corresponding to all Yellow Books respectively and be placed in corresponding Yellow Book packet, form rope
Draw storehouse；Described photographic intelligence at least includes number of pictures, photographing data and shooting places；
Step 3, system calculate the face characteristic of two personages to be calculated based on the photographic intelligence in Yellow Book packet
Code similarity ratio, group photo quantity account for photo total amount ratio, group photo number of times accounts for group photo photo total amount ratio, group photo place quantity accounts for
Group photo generally some quantity ratio, and calculate the meansigma methods of above-mentioned all ratio, the highest then cohesion of meansigma methods is the highest；Otherwise then
Cohesion is the lowest；
Step 4, system show the cohesion between personage to be presented and other personages according to presetting exhibition method.
Concrete, in described step 3, also include: system is according in Yellow Book personage and group photo between other personages
Cohesion, sets up personage's cohesion relational database, and is associated with personage's cohesion relational database by Yellow Book.
Concrete, in described step 2, also include: the system photo i.e. personage group photo to comprising multiple face characteristic code, press
Yellow Book carries out many subseries, sets up many portrait photographs index database based on group photo relation.
Concrete, in described step 4, cohesion exhibition method includes carrying out cohesion height arrangement exhibition according to preset rules
Show, Yellow Book packet is shown, the cohesion between personage shown in index and group photo photo packet is shown.
Concrete, also include system according to user's request, Yellow Book is grouped in photo delete, moditied processing
Or move across Yellow Book.
The invention has the beneficial effects as follows: it is many that the present invention combines recognition of face, group photo place, group photo date, group photo quantity etc.
Individual latitude, more comprehensively analyzes the cohesion between group photo photo personage in terms of personage, time, place, the frequency etc., allows
The group photo situation that user can be better understood by and check between kith and kin.
Accompanying drawing explanation
Fig. 1 is workflow diagram in cohesion display systems and embodiment of the method thereof between photo personage of the present invention.
Below in conjunction with the detailed description of the invention of embodiment, the foregoing of the present invention is described in further detail again.
But this should not being interpreted as, the scope of the above-mentioned theme of the present invention is only limitted to Examples below.Thinking without departing from the above-mentioned technology of the present invention
In the case of thinking, the various replacements made according to ordinary skill knowledge and customary means or change, all should be included in this
In bright scope.
Detailed description of the invention
Below in conjunction with the accompanying drawings and embodiment describe in detail technical scheme:
The present invention is directed to magnanimity photo in prior art disorderly and unsystematic in storage device, be distributed scattered problem, it is provided that
Cohesion display systems and method between a kind of photo personage, cohesion display systems between photo personage, including scanned photograph module,
Extract face characteristic code module, condition code contrast module, index database module, cohesion computing module, enquiry module and cohesion
Display module；Described scanned photograph module, for scanning the picture format file of file to be presented, gets rid of non-photograph class figure
Sheet, retains photo and stores；Described extraction face characteristic code module, is used for extracting in scanned photograph module all in all photos
The face characteristic code of personage；Described index database module, is used for setting any one personage as Yellow Book, passes through Yellow Book
Middle setting one comprises personage's head portrait of face as Yellow Book head portrait；Described condition code contrast module, for according to index
The face characteristic code of all personages that the face characteristic code comparison that option head portrait is corresponding is extracted, will include identical face characteristic
The photo of code filters out, and extracts photographic intelligence, is placed on corresponding Yellow Book and divides after photo and photographic intelligence being associated
In group, described photographic intelligence at least includes number of pictures, photograph taking time and spot for photography；The like by described feature
The human face similarity degree contrast of code contrast module, filters out the photo corresponding to all Yellow Books respectively and is placed on corresponding index
In option packet；Described cohesion computing module, for calculating the face characteristic code similarity ratio of two personages to be calculated, conjunction
Take that quantity accounts for picture total amount ratio, group photo number of times accounts for group photo photo total amount ratio, group photo place quantity accounts for group photo and generally puts quantity
Ratio, and calculate the meansigma methods of above-mentioned all ratio, the highest then cohesion of meansigma methods is the highest；Otherwise then cohesion is the lowest；Institute
State cohesion display module, for showing the cohesion between personage to be presented and other group photo personages.Between photo personage intimately
Degree methods of exhibiting, first, system scans the picture format file of file to be presented, gets rid of non-photograph class picture, retains photo,
And extract the face characteristic code of all personages in all photos；Secondly, any one personage of default is as Yellow Book, logical
Cross in Yellow Book set a personage's head portrait comprising face as Yellow Book head portrait, corresponding according to Yellow Book head portrait
The face characteristic code of all personages that face characteristic code comparison is extracted, screens the photo including identical face condition code
Go out, extract photographic intelligence, be placed on after photo and photographic intelligence are associated in corresponding Yellow Book packet；The rest may be inferred
Contrasted by the human face similarity degree of described condition code contrast module, filter out the photo corresponding to all Yellow Books respectively and be placed on
In corresponding Yellow Book packet, form index database；Described photographic intelligence at least includes number of pictures, photographing data and takes pictures
Place；Then the photographic intelligence during system is grouped based on Yellow Book calculates the face characteristic code-phase of two personages to be calculated seemingly
It is total that degree ratio, group photo quantity account for photo total amount ratio, group photo number of times accounts for group photo photo total amount ratio, group photo place quantity accounts for group photo
Place quantity ratio, and calculate the meansigma methods of above-mentioned all ratio, the highest then cohesion of meansigma methods is the highest；Otherwise then cohesion
The lowest；Finally, system shows the cohesion between personage to be presented and other personages according to presetting exhibition method.The present invention combines
Multiple latitudes such as recognition of face, group photo place, group photo date, group photo quantity, in terms of personage, time, place, the frequency etc. more
Comprehensively analyze the cohesion between group photo photo personage, allow the group photo that user can be better understood by and check between kith and kin
Situation.
Embodiment
Cohesion display systems between the photo personage of this example, including scanned photograph module, extracts face characteristic code module, spy
Levy code contrast module, index database module, cohesion computing module, enquiry module and cohesion display module；Between above-mentioned module
Foundation has communication connection.
During use, scanned photograph module, for scanning the picture format file of file to be presented, distinctive according to photo
Specification attribution rule gets rid of non-photograph class picture, retains photo and stores；Described specification attribution rule is dependent on specification attribute and enters
The eliminating of row non-photograph class picture, specification attribute includes file size, file format, resolution and length-breadth ratio information etc..
Extract face characteristic code module, for extracting in scanned photograph module the face characteristic of all personages in all photos
Code；
Index database module, is used for setting any one personage as Yellow Book, by setting a bag in Yellow Book
Personage's head portrait containing face is as Yellow Book head portrait；
Described condition code contrast module, for the institute extracted according to the face characteristic code comparison that Yellow Book head portrait is corresponding
There is the face characteristic code of personage, the photo including identical face condition code is filtered out and is placed on corresponding Yellow Book packet
In, the like by described condition code contrast module human face similarity degree contrast, filter out respectively all Yellow Books institute right
The photo answered is placed in corresponding Yellow Book packet, extracts photographic intelligence simultaneously, photo and photographic intelligence is associated
After be placed in the packet of corresponding Yellow Book, described photographic intelligence at least includes number of pictures, photograph taking time and shooting
Place；For comprising the group photo photo of multiple personage, index database module need to carry out many subseries by Yellow Book, sets up based on conjunction
Many portrait photographs index database according to relation.So can ensure that when later stage user browses photo, can directly find out and comprise together
Time comprise all photos of personage A and personage B, and without browsing one by one.
Finally, by cohesion computing module, calculate the face characteristic code similarity ratio of two personages to be calculated, group photo
Quantity accounts for photo total amount ratio, group photo number of times accounts for group photo photo total amount ratio, group photo place quantity accounts for group photo generally some quantity ratio
Value, and calculate the meansigma methods of above-mentioned all ratio, the highest then cohesion of meansigma methods is the highest；Otherwise then cohesion is the lowest；And lead to
Cross cohesion display module, show rule according to default, show the cohesion between personage to be presented and other group photo personages, bag
Include the cohesion arranged between displaying, packet displaying, index displaying personage and correspondence group photo photo is grouped displaying etc..
Browsing to further facilitate user, native system also includes enquiry module, described enquiry module, is used for inquiring about
Photographic intelligence in Yellow Book packet, it is possible to carry out photo deletion or moditied processing or move across Yellow Book.Such as, root
According to Yellow Book, user can consult all photos of any one personage, or any simultaneous photo of several personage.
Certainly, user can also set up other Yellow Books according to oneself demand, such as, using a shooting background as an index choosing
, all photos of unified shooting background are deposited to this group by system according to this Yellow Book, facilitate user to check in the later stage.With
Reason, it is also possible to same shooting time is as a Yellow Book.The corresponding different comparison packet mode of different Yellow Books, this
Place repeats no more.
Below in conjunction with the accompanying drawings 1, specifically describe cohesion displaying side between the concrete photo personage of above-mentioned display systems
Method, comprises the following steps:
Step 1, system scan the picture format file of file to be presented, get rid of non-photograph class picture, retain photo, and
Extract the face characteristic code of all personages in all photos；
Any one personage of step 2, default, as Yellow Book, comprises face by setting one in Yellow Book
Personage's head portrait as Yellow Book head portrait, extract according to the face characteristic code comparison that Yellow Book head portrait is corresponding everyone
The face characteristic code of thing, filters out the photo including identical face condition code, extracts photographic intelligence, photo and photo is believed
Breath is placed on after being associated in corresponding Yellow Book packet；The rest may be inferred by people's appearance of described condition code contrast module
Seemingly spend contrast, filter out the photo corresponding to all Yellow Books respectively and be placed in corresponding Yellow Book packet, form rope
Draw storehouse；Described photographic intelligence at least includes number of pictures, photographing data and shooting places；For the group photo of many personages, system is pressed
Yellow Book carries out many subseries, sets up many portrait photographs index database based on group photo relation.
Step 3, system calculate the face characteristic of two personages to be calculated based on the photographic intelligence in Yellow Book packet
Code similarity ratio, group photo quantity account for photo total amount ratio, group photo number of times accounts for group photo photo total amount ratio, group photo place quantity accounts for
Group photo generally some quantity ratio, and calculate the meansigma methods of above-mentioned all ratio, the highest then cohesion of meansigma methods is the highest；Otherwise then
Cohesion is the lowest；Meanwhile, set up personage's cohesion relational database, and Yellow Book is entered with personage's cohesion relational database
Row association.
Step 4, system show the cohesion between personage to be presented and other personages according to presetting exhibition method.Cohesion
Exhibition method includes carrying out cohesion height arrangement displaying according to preset rules, Yellow Book packet is shown, personage shown in index
Between cohesion and group photo photo packet show.User operation for convenience, Yellow Book can be divided by user according to demand
Photo in group carries out deleting, moditied processing or move across Yellow Book.
In sum, the present invention combines multiple latitudes such as recognition of face, group photo place, group photo date, group photo quantity, from people
The aspects such as thing, time, place, the frequency more comprehensively analyze the cohesion between group photo photo personage, allow the user can be more preferable
Understanding and the group photo situation checked between kith and kin.
Claims (9)
1. cohesion display systems between photo personage, it is characterised in that include scanned photograph module, extract face characteristic code mould
Block, condition code contrast module, index database module, cohesion computing module, enquiry module and cohesion display module；
Described scanned photograph module, for scanning the picture format file of file to be presented, gets rid of non-photograph class picture, retains
Photo also stores；
Described extraction face characteristic code module, for extracting in scanned photograph module the face characteristic of all personages in all photos
Code；
Described index database module, is used for setting any one personage as Yellow Book, by setting a bag in Yellow Book
Personage's head portrait containing face is as Yellow Book head portrait；
Described condition code contrast module, for extract according to the face characteristic code comparison that Yellow Book head portrait is corresponding everyone
The face characteristic code of thing, filters out the photo including identical face condition code, extracts photographic intelligence, photo and photo is believed
Breath is placed on after being associated in corresponding Yellow Book packet, and described photographic intelligence at least includes number of pictures, photograph taking
Time and spot for photography；The like by described condition code contrast module human face similarity degree contrast, filter out all respectively
Photo corresponding to Yellow Book is placed in corresponding Yellow Book packet；
Described cohesion computing module, for calculating the face characteristic code similarity ratio of two personages to be calculated, group photo quantity
Account for photo total amount ratio, group photo number of times accounts for group photo photo total amount ratio, group photo place quantity accounts for group photo generally some quantity ratio, and
Calculating the meansigma methods of above-mentioned all ratio, the highest then cohesion of meansigma methods is the highest；Otherwise then cohesion is the lowest；
Described cohesion display module, for showing the cohesion between personage to be presented and other group photo personages.
Cohesion display systems between photo personage the most according to claim 1, it is characterised in that described index database module,
It is additionally operable to, to the photo i.e. personage group photo comprising multiple face characteristic code, carry out many subseries by Yellow Book, set up based on conjunction
Many portrait photographs index database according to relation.
Cohesion display systems between photo personage the most according to claim 1, it is characterised in that also include enquiry module,
Described enquiry module, the photographic intelligence in search index option is grouped, it is possible to carry out at photo deletion or modification
Manage or move across Yellow Book.
Cohesion display systems between photo personage the most according to claim 1, it is characterised in that described cohesion shows mould
The exhibition method of block includes carrying out cohesion height arrangement displaying according to preset rules, Yellow Book packet is shown, index is shown
Cohesion and group photo photo packet between personage are shown.
5. cohesion methods of exhibiting between photo personage, it is characterised in that comprise the following steps:
Step 1, system scan the picture format file of file to be presented, get rid of non-photograph class picture, retain photo, and extract
The face characteristic code of all personages in all photos；
Any one personage of step 2, default is as Yellow Book, by setting a people comprising face in Yellow Book
Thing head portrait as Yellow Book head portrait, all personages' extracted according to the face characteristic code comparison that Yellow Book head portrait is corresponding
Face characteristic code, filters out the photo including identical face condition code, extracts photographic intelligence, photo and photographic intelligence is entered
It is placed on after row association in corresponding Yellow Book packet；The rest may be inferred by the human face similarity degree of described condition code contrast module
Contrast, filters out the photo corresponding to all Yellow Books respectively and is placed in corresponding Yellow Book packet, form index database；
Described photographic intelligence at least includes number of pictures, photographing data and shooting places；
Step 3, system calculate the face characteristic code-phase of two personages to be calculated based on the photographic intelligence in Yellow Book packet
Seemingly spend ratio, group photo quantity accounts for photo total amount ratio, group photo number of times accounts for group photo photo total amount ratio, group photo place quantity accounts for group photo
Generally some quantity ratio, and calculate the meansigma methods of above-mentioned all ratio, the highest then cohesion of meansigma methods is the highest；Otherwise it is the most intimate
Spend the lowest；
Step 4, system show the cohesion between personage to be presented and other personages according to presetting exhibition method.
Cohesion methods of exhibiting between photo personage the most according to claim 5, it is characterised in that in described step 3, also wrap
Include: system, according to cohesion between other personages in Yellow Book personage and group photo, sets up personage's cohesion relational database,
And Yellow Book is associated with personage's cohesion relational database.
Cohesion methods of exhibiting between photo personage the most according to claim 5, it is characterised in that in described step 2, also wrap
Include: the system photo i.e. personage group photo to comprising multiple face characteristic code, carry out many subseries by Yellow Book, set up based on conjunction
Many portrait photographs index database according to relation.
Cohesion methods of exhibiting between photo personage the most according to claim 5, it is characterised in that intimate in described step 4
Degree exhibition method includes carrying out cohesion height arrangement displaying according to preset rules, Yellow Book packet is shown, people shown in index
Cohesion and group photo photo packet between thing are shown.
Cohesion methods of exhibiting between photo personage the most according to claim 5, it is characterised in that also include system according to
Family demand Yellow Book is grouped in photo delete, moditied processing or move across Yellow Book.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610595751.1A CN106250439A (en) | 2016-07-26 | 2016-07-26 | Cohesion display systems and method between photo personage |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610595751.1A CN106250439A (en) | 2016-07-26 | 2016-07-26 | Cohesion display systems and method between photo personage |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106250439A true CN106250439A (en) | 2016-12-21 |
Family
ID=57603657
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610595751.1A Pending CN106250439A (en) | 2016-07-26 | 2016-07-26 | Cohesion display systems and method between photo personage |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106250439A (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106778892A (en) * | 2016-12-28 | 2017-05-31 | 珠海市魅族科技有限公司 | A kind of method and terminal for testing cohesion |
| CN107766403A (en) * | 2017-08-07 | 2018-03-06 | 努比亚技术有限公司 | A kind of photograph album processing method, mobile terminal and computer-readable recording medium |
| CN107944052A (en) * | 2017-12-21 | 2018-04-20 | 联想(北京)有限公司 | The information processing method and electronic equipment of a kind of electronic equipment |
| CN107944414A (en) * | 2017-12-05 | 2018-04-20 | 广东欧珀移动通信有限公司 | Image processing method, device, electronic equipment and computer-readable recording medium |
| CN108052819A (en) * | 2017-12-29 | 2018-05-18 | 维沃移动通信有限公司 | A kind of face identification method, mobile terminal and computer readable storage medium |
| CN108073724A (en) * | 2018-01-04 | 2018-05-25 | 百度在线网络技术（北京）有限公司 | For generating the method and apparatus of information |
| CN108549648A (en) * | 2018-02-26 | 2018-09-18 | 努比亚技术有限公司 | Personage's image processing method, terminal and computer readable storage medium |
| CN109145884A (en) * | 2018-10-10 | 2019-01-04 | 百度在线网络技术（北京）有限公司 | Search method, apparatus, terminal and the computer readable storage medium of target person |
| CN110020204A (en) * | 2019-03-29 | 2019-07-16 | 联想(北京)有限公司 | A kind of information processing method and electronic equipment |
| CN110337646A (en) * | 2017-02-25 | 2019-10-15 | 华为技术有限公司 | A kind of method, apparatus and mobile terminal generating photograph album |
| CN110727811A (en) * | 2019-10-08 | 2020-01-24 | 维沃移动通信有限公司 | Photo screening method and mobile terminal |
| CN111339330A (en) * | 2020-03-12 | 2020-06-26 | Oppo广东移动通信有限公司 | Photo processing method and device, storage medium and electronic equipment |
| CN112001207A (en) * | 2019-05-27 | 2020-11-27 | 北京君正集成电路股份有限公司 | Optimization method of face recognition sample library |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103412951A (en) * | 2013-08-22 | 2013-11-27 | 四川农业大学 | Individual-photo-based human network correlation analysis and management system and method |
-
2016
- 2016-07-26 CN CN201610595751.1A patent/CN106250439A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103412951A (en) * | 2013-08-22 | 2013-11-27 | 四川农业大学 | Individual-photo-based human network correlation analysis and management system and method |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106778892A (en) * | 2016-12-28 | 2017-05-31 | 珠海市魅族科技有限公司 | A kind of method and terminal for testing cohesion |
| CN110337646A (en) * | 2017-02-25 | 2019-10-15 | 华为技术有限公司 | A kind of method, apparatus and mobile terminal generating photograph album |
| CN107766403A (en) * | 2017-08-07 | 2018-03-06 | 努比亚技术有限公司 | A kind of photograph album processing method, mobile terminal and computer-readable recording medium |
| CN107766403B (en) * | 2017-08-07 | 2021-06-25 | 努比亚技术有限公司 | Photo album processing method, mobile terminal and computer readable storage medium |
| CN107944414A (en) * | 2017-12-05 | 2018-04-20 | 广东欧珀移动通信有限公司 | Image processing method, device, electronic equipment and computer-readable recording medium |
| CN107944052A (en) * | 2017-12-21 | 2018-04-20 | 联想(北京)有限公司 | The information processing method and electronic equipment of a kind of electronic equipment |
| CN108052819A (en) * | 2017-12-29 | 2018-05-18 | 维沃移动通信有限公司 | A kind of face identification method, mobile terminal and computer readable storage medium |
| CN108052819B (en) * | 2017-12-29 | 2020-01-21 | 维沃移动通信有限公司 | Face recognition method, mobile terminal and computer readable storage medium |
| CN108073724A (en) * | 2018-01-04 | 2018-05-25 | 百度在线网络技术（北京）有限公司 | For generating the method and apparatus of information |
| CN108549648B (en) * | 2018-02-26 | 2020-07-21 | 珠海大横琴科技发展有限公司 | Character picture processing method, terminal and computer readable storage medium |
| CN108549648A (en) * | 2018-02-26 | 2018-09-18 | 努比亚技术有限公司 | Personage's image processing method, terminal and computer readable storage medium |
| CN109145884A (en) * | 2018-10-10 | 2019-01-04 | 百度在线网络技术（北京）有限公司 | Search method, apparatus, terminal and the computer readable storage medium of target person |
| CN110020204A (en) * | 2019-03-29 | 2019-07-16 | 联想(北京)有限公司 | A kind of information processing method and electronic equipment |
| CN112001207A (en) * | 2019-05-27 | 2020-11-27 | 北京君正集成电路股份有限公司 | Optimization method of face recognition sample library |
| CN112001207B (en) * | 2019-05-27 | 2024-05-28 | 北京君正集成电路股份有限公司 | Optimization method of face recognition sample library |
| CN110727811A (en) * | 2019-10-08 | 2020-01-24 | 维沃移动通信有限公司 | Photo screening method and mobile terminal |
| CN111339330A (en) * | 2020-03-12 | 2020-06-26 | Oppo广东移动通信有限公司 | Photo processing method and device, storage medium and electronic equipment |
| WO2021179819A1 (en) * | 2020-03-12 | 2021-09-16 | Oppo广东移动通信有限公司 | Photo processing method and apparatus, and storage medium and electronic device |
| CN111339330B (en) * | 2020-03-12 | 2023-09-01 | Oppo广东移动通信有限公司 | Photo processing method and device, storage medium and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106250439A (en) | Cohesion display systems and method between photo personage | |
| US9972113B2 (en) | Computer-readable recording medium having stored therein album producing program, album producing method, and album producing device for generating an album using captured images | |
| JP6012310B2 (en) | Image processing apparatus, image processing method, and program | |
| US20150081791A1 (en) | Private photo sharing system, method and network | |
| CN105468675A (en) | Picture display system and method combining figure identification and holiday and festival information | |
| CN108228114A (en) | Control method and storage medium | |
| US9521211B2 (en) | Content processing device, content processing method, computer-readable recording medium, and integrated circuit | |
| US8837787B2 (en) | System and method for associating a photo with a data structure node | |
| US9030502B2 (en) | System and method for organizing documents | |
| CN101266649A (en) | Image selecting device, image selecting method, image pickup apparatus, and computer-readable medium | |
| CN108234814A (en) | Control method and storage medium | |
| CN105740379A (en) | Photo classification management method and apparatus | |
| WO2016145844A1 (en) | Picture sorting method and corresponding picture storage and display device | |
| US9202131B2 (en) | Information processing apparatus, information processing method, computer program, and image display apparatus | |
| CN101373496B (en) | Image archive apparatus | |
| JP2016057901A (en) | Image processing device, image processing method, program, and recording medium | |
| JP6168928B2 (en) | Image processing apparatus, image processing method, and program | |
| US20160110608A1 (en) | Photo diary | |
| CN106095805A (en) | Image deletion method and system | |
| KR101683232B1 (en) | System for processing image and supplying related information by using total information of image | |
| JP2006318251A (en) | Method, apparatus and system for, image data management, program, and recording medium | |
| JP2017068703A (en) | Image processing device, image processing method, program and recording medium | |
| KR101456488B1 (en) | Method of setting the publication of image file and the apparatus adopting the same | |
| KR101545386B1 (en) | Method and system for producing photo album | |
| JP2002112165A (en) | Image processing unit, image processing system, image processing method, and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161221 |
|
| RJ01 | Rejection of invention patent application after publication |