CN103412951B - Human connection association analysis based on portrait photographs management System and method for - Google Patents
Human connection association analysis based on portrait photographs management System and method for Download PDFInfo
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Abstract
The present invention is that a kind of human connection association analysis based on portrait photographs manages System and method for, imports including photo and selects module, photo memory module, photograph tags information architecture module, photo search module;Its analysis management procedure is: performs the Internet and detects with local data timing and import;Perform photograph tags information architecture;Perform personage's significance level to analyze;Perform the sequence corresponding with GPS of execution time;Perform the close and distant information analysis of personage;Perform personage's information architecture;Execution user search instructs.The present invention, by reading the digital portrait photographs uploaded in this locality or the Internet, analyzes some personage and the close and distant degree of user, the correlated activation of this personage, and the status significance level of this personage, the activity time of this personage, correlated activation participates in other personages.The relationship among persons formed around oneself is managed by auxiliary user.
Description
Technical field
The present invention relates to a kind of human connection association analysis based on portrait photographs management System and method for, specifically by reading
Take portrait photographs, to analyze human connection association.
Background technology
Because the development of electronic technology, digital camera and handheld device are popularized, in the family improved living standards, major part is the most standby
There is digital camera maybe can work as other handheld device of digital camera picked-up photo, such as mobile phone, panel computer etc..Because of this class
Digital product carrying convenience, the photo shot is effective, fully meets life and takes pictures demand, so increasing people makes
Carry out shooting photo with this kind equipment, when, after picked-up photo, people just like being uploaded to the Internet and friend even stranger
Share, such as famous social network sites Facebook, QQ space, blog etc., all include what a large amount of individual uploaded
Photographic intelligence.These photographic intelligences include the tourism of individual, meeting, the photo such as party, and be all can carry out under
Carry.
Because of the prosperity of digital technology, selecting all to include shooting detail time on the photo that this kind equipment takes, shooting is in detail
The information such as GPS address.Meanwhile, the face on photo can also carry out authentication by face recognition technology.
Face recognition technology is face feature based on people, by facial image recognition or the video flowing of input, detects each face
Position, size and the positional information of each major facial organ, and according to these information, extract institute in each face further
The identity characteristic contained, and it is contrasted with known face, thus identify the identity of each face.
Moreover, it is known that a people wants successfully from social relations, complete the cause of oneself, or more easily
Processing some things, the support obtained from friend there is requisite, but because the obturation of information, we can nothing
Method learns that the friend of oneself can help what oneself completes, or which friend friend has the most again to help oneself.Institute
With, it would be desirable to a way, it is possible to fully grasp these information, to help oneself to set up more preferable relationship among persons.
Summary of the invention
The invention provides a kind of by understanding portrait photographs, to obtain the relevant information of photo, to analyze and management human connection pass
The system and method for connection.
Human connection association analysis based on the portrait photographs management system of the present invention: include that photo imports and deposit with selecting module, photo
Storage module, photograph tags information architecture module, photo search module.
Photo imports and selects module: is used for screening photo and photograph tags information, and photo and photograph tags information is imported
To photo memory module, and automatically detect the photo updated on this locality or the Internet;Photo imports and also includes mutually with selecting module
Connection collection of photos module and local collection of photos module, interconnection collection of photos module is used for detecting the photo updated on the Internet,
Local collection of photos module is for detecting the photo of local update.
Photo memory module: for storing photo and the photograph tags information of importing, for storing through photograph tags information structure
The modeling photo of block analysis, the photograph tags information analyzed, people information.
Photograph tags information architecture module: for the photo in photo memory module is added label information;For building personage
Information.
Photo search module: for performing the search instruction of user, by photograph tags information search photo from photo memory module.
Described photograph tags information architecture module also includes: information automation extraction unit: for extract photo shooting time,
The GPS label information of shooting, the activity description label information of photograph taking;Face identification unit: photo is carried out face
Identify, extract human face photo, and the human face photo extracted is added label information;It is manually entered unit: for the most defeated
Entering cannot be by the remark information automatically extracting unit and face identification unit obtains, or correction automatically extracts and identifies mistake.
Described photograph tags information includes time, GPS location, organizations's information, activity description, remark information;Institute
The people information stated include the close and distant degree between person names, profile information, personage's significance level, personage, the time,
GPS location, organizations's information, activity description, remark information.
Human connection association analysis management method based on portrait photographs of the present invention, including following process:
(1), perform the Internet detect with local data timing and import.
(2), photograph tags information architecture is performed.
(3), perform personage's significance level to analyze.
(4) sequence corresponding with GPS of execution time, is performed.
(5), the close and distant information analysis of personage is performed.
(6), personage's information architecture is performed.
(7) user search instruction, is performed.
1, performing the Internet with local data timing detection with importing is:
Photo imports and selects module timing detection the Internet or local data, filters out newly added portrait photographs, and will shine
Sheet stores in photo memory module, and portrait photographs includes the collective's photo more than containing a people, also includes single photo.
2, photograph tags information architecture is performed:
Photograph tags information architecture module detects photo newly added in photo memory module, and is marked by these photos
Information is added, including using information automation extraction unit to extract the shooting time of photo, the GPS information of shooting, the most defeated
Entering unit input cannot be by the remark information automatically extracting unit and face identification unit obtains;The activity description of shooting photo
Information;Face identification unit identifies face information.
From collective's photo, carry out recognition of face, extract each face, and analyze each face information, by the bat of photo
Take the photograph the time, the GPS information of shooting, the shooting activity description information of photo, organizations's information, remark information copy to
In each face, it is built into complete photograph tags information.
All photos of new importing are analyzed.
Select the obvious face of character features as personage's head portrait.
3, performing personage's significance level analysis is:
By gathering collective's photo, the personage in photo is carried out zoning, personages all in photo are marked;Right
Mei Zhang collective photo is independent marks the personage in photo, and the mark commented in different collectives photo for same personage is made even
Divide equally.
Such as above-mentioned zoning methods of marking, further illustrate for: carry out zoning according to photograph erect-position ceremony, use and occupy
Before for upper, placed in the middle for upper, in the way of a left side is upper to zoning, be chosen as important to collective's photo occupy front-seat personage,
Heel row is successively decreased successively;Being chosen as important to occuping middle personage in collective's photo, successively decreases successively in both sides;To in collective's photo with
Personage placed in the middle is reference, is in first personage on the left of personage placed in the middle and marks more than being in first personage on the right side of personage placed in the middle
Scoring, is in the scoring of second personage on the left of personage placed in the middle and, more than being in deputy scoring on the right side of personage placed in the middle, so divides
All photos are analysed.
4, performing the execution time corresponding with GPS is ordered as:
Read containing each individual photo of same personage or the shooting time information of collective's photo, and by the time of photograph taking
Successively it is ranked up;And indicate the GPS information of every photo, analyze personage in time point or time period, in place
What scope was carried out crosses action message.
5, performing the close and distant information analysis of personage is:
Selecting personage as reference with user, calculate in whole photo memory module, other personages and selected personage are at same Zhang Zhao
The frequency occurred in sheet, and to frequency setting one threshold values occurred, i.e. set and the frequency of occurrences is labeled as the most successively
Stranger, common, good friend, intimate, to analyze the close and distant degree between personage.
6, performing personage's information architecture is:
Face identification unit choose one can the face of representative figure's feature as personage's head portrait, by integrating the important journey of personage
Time in degree and close and distant degree information between other people, profile information, photograph tags information, GPS location,
Organizations's information, activity description, remark information, built people information.
7, performing user search instruction is:
When user choose initial conditions check photographic intelligence time, system perform initial conditions check photo;User is according to known letter
Breath, key in key word, system goes out relevant photo and personage's head portrait according to keyword retrieval, key word be organizations's information,
Person names, time period, GPS location, activity description or a combination thereof.
The relevant picture that the arbitrarily selected system retrieval of user goes out, it is intended that read this photographic intelligence, system displays out about selected photograph
The people information of sheet.
When user arbitrarily keys in about activity name, community name key word, and system goes out relevant collective according to keyword retrieval
Photo, and display out activity time, activity name, activity venue information and remark information;User arbitrarily selectes collective's photo
In any one personage's head portrait, system perform information retrieval, display out people information.
Beneficial effect
The present invention by reading personage's head image information in the digital photograph uploaded in local or the Internet, the photograph taking time believes
Personage's ranking in breath, spot for photography information, collective's photo, personage's composition, to analyze the close and distant of some personage and user
Degree, the correlated activation of this personage, the status significance level of this personage, the activity time of this personage, correlated activation participates in it
He is personage.The relationship among persons formed around oneself is managed by auxiliary user.
The user of the present invention can be individual, facilitates the relationship among persons of personal management oneself to unite, and the user of the present invention can be group
Knit group, facilitate the relation of organizations's management and other organizations.
The present invention reads the GPS information in photo, shooting time information, it is possible to analyzes a certain personage and puts at certain sometime
The activity description that one region is participated in, and with the collective's photo produced according to activity description, analyzes and participates in this movable its
He is personage.
Analyze and participate in the status significance level of personage in this activity.Read a certain personage more collective photo, more to enter one
The status of this personage is analyzed on step ground.
By referring to the photo of user Yu a certain personage, analyze the pass system level of intimate of a certain personage and user.
By face recognition technology, decompose the individual in collective's photo, and individual is marked, to facilitate relationship among persons pipe
Reason.
Add hand labeled, including communication modes, activity description, organization name, person names etc..
Accompanying drawing explanation
Fig. 1 is the design structure diagram of the present invention.
Fig. 2 is module composition diagram of the present invention.
Detailed description of the invention
The personal information management method of servicing based on photograph tags and face recognition technology that the embodiment of the present invention provides, mainly wraps
Include:
Import all photos in storage device, extract the time of photo, GPS information by software, for there being explanatory note
Photo, then use text recognition technique to carry out the extraction of activity description, the employing manual entry of the explanatory note for not having
Method carry out the description of activity, and above photographic intelligence is carried out interrelated, generates and include time, GPS, activity
The picture data of the information such as content.
Particularly as follows: after importing new photo, Automatic Program carries out recognition of face to photo, the face that there is face feature
Photo extracts, and records face position on photo, and different photos are analyzed contrast, the people of same object
Face photo playbacks a class.In the human face photo of same target is sorted out, contrast filters out face feature human face photo the most completely
Head portrait as this personage.After Automatic Program filters out the head portrait of all personages, then display to the user that out, manual entry surname
Name, the name preferably and on address list is mapped herein, in order to address list information is marked automatically.Name typing completes
After, the information association of same name is got up by Automatic Program, can use be manually entered for not completing the object of labelling
Mode completes labelling.Repeat this step, form the figure database including name, head portrait, contact method, after user
By this interface, above people information can also be modified, deletes, adds and supplemented.
Use face recognition technology, photo is carried out recognition of face, and the feature photo of face is extracted, remember simultaneously
Record face position on photo, and the human face photo identified is carried out calculation system, generate face stricture of vagina data, to difference
Personage classifies, and filters out, by contrast, the human face photo that characteristic is good, forms head portrait, for every head as manually marking
It is recorded into name, the communication information of corresponding personage is associated, such as telephone number, mail, QQ etc. simultaneously.
Analyze personage and the degree of relationship of user and identity significance level, for the personage identified, by calculating this people
The frequency that thing and user occur in same and whole picture data storehouse, being set a threshold values by user oneself carries out relation simultaneously
The division of scope, as set for occurring that the personage of 1-2 time is labeled as stranger, number of times is that the personage of 3-5 time is labeled as general
Logical, it is for more than 5 times intimate.
For the analysis of identity significance level, gather collective's photo, the personage in photo is carried out zoning, with first row
Centre position is reference area, sets score value as 100 points, successively decrease successively to the left side at this, when after the people having commented the left side,
Then mark to the right with this row centre position, after first row has been marked, then next row is commented in the same way
Point, but this row centre position mark is to be connected mutually with upper row's lowest fractional.According to procedure above until owning in this photo
Personage completes scoring.Every photo is independently marked, and makes even at the mark of different photos for same personage and divides equally.Finally commenting
Divide in the middle of result queue and people information.
Calculate other people position and the distance in this region, mark, same personage is adopted at the position score value of multiple pictures
Use meansigma methods.Information above can also be carried out manual identification's amendment.Simultaneously the two index on corresponding personage.
Generate the people information data base including relevant information.
Finally everyone and the information association of the photo including this person.The step for of repetition, to having analyzed all photographs
Sheet, generates personal information database.
When user browses to a certain personage, want to further appreciate that the geographical position of this personage's historical act, first by user
Setting the time period analyzed, because everyone has associated with the photographic intelligence including it, extracting directly includes this
The time of the photo of people and GPS information, thus analyze the geographical position that this person occurred within the corresponding time period, and
It is marked on map, presents to user.
When user's input time and geographical location information, directly obtain relevant photo, when user browses photo, directly believe
Breath shows the time of this photo, place, activity description information inside hurdle, when the particular persons in photo is performed to click on by user,
Information then shows the details of this personage, and geolocation analysis button.
Claims (1)
1. a human connection association analysis management method based on portrait photographs, including following process:
(1), perform the Internet detect with local data timing and import;
(2), photograph tags information architecture is performed;
(3), perform personage's significance level to analyze;
(4) sequence corresponding with GPS of execution time, is performed;
(5), the close and distant information analysis of personage is performed;
(6), personage's information architecture is performed;
(7) user search instruction, is performed;
1.1, performing the Internet with local data timing detection with importing is:
Photo imports and selects module timing detection the Internet or local data, filters out newly added portrait photographs, and will shine
Sheet stores in photo memory module, and portrait photographs includes the collective's photo more than containing a people, also includes single photo;
1.2, photograph tags information architecture is performed:
Photograph tags information architecture module detects photo newly added in photo memory module, and is marked by these photos
Information is added, including using information automation extraction unit to extract the shooting time of photo, the GPS information of shooting, the most defeated
Entering unit input cannot be by the remark information automatically extracting unit and face identification unit obtains;The activity description of shooting photo
Information;Face identification unit identifies face information;
From collective's photo, carry out recognition of face, extract each face, and analyze each face information, by the bat of photo
Take the photograph the time, the GPS information of shooting, the shooting activity description information of photo, organizations's information, remark information copy to
In each face, it is built into complete photograph tags information;
All photos of new importing are analyzed;
Select the obvious face of character features as personage's head portrait;
1.3, performing personage's significance level analysis is:
By gathering collective's photo, the personage in photo is carried out zoning, personages all in photo are marked;Right
Mei Zhang collective photo is independent marks the personage in photo, and the mark commented in different collectives photo for same personage is made even
Divide equally;
Such as above-mentioned zoning methods of marking, further illustrate for: carry out drawing to the personage in photo according to photograph erect-position ceremony
Subregion, use rank forefront for upper, placed in the middle for upper, in the way of a left side is upper to the personage zoning in photo, to group picture
The personage occuping front-seat in sheet is chosen as important, and heel row is successively decreased successively;It is chosen as important to collective's photo occupy middle personage,
Successively decrease successively in both sides;To in collective's photo with personage placed in the middle as reference, be on the left of personage placed in the middle first personage's scoring and be more than
It is in the scoring of first personage on the right side of personage placed in the middle, is in the scoring of second personage on the left of personage placed in the middle placed in the middle more than being in
Deputy scoring on the right side of personage, has so analyzed all photos;
1.4, performing the execution time corresponding with GPS is ordered as:
Read containing each individual photo of same personage or the shooting time information of collective's photo, and by the time of photograph taking
Successively it is ranked up;And indicate the GPS information of every photo, analyze personage in time point or time period, in place
What scope was carried out crosses action message;
1.5, performing the close and distant information analysis of personage is:
Selecting personage as reference with user, calculate in whole photo memory module, other personages and selected personage are at same Zhang Zhao
The frequency occurred in sheet, and to frequency setting one threshold values occurred, i.e. set and the frequency of occurrences is labeled as the most successively
Stranger, common, good friend, intimate, to analyze the close and distant degree between personage;
1.6, performing personage's information architecture is:
Face identification unit choose one can the face of representative figure's feature as personage's head portrait, by integrating the important journey of personage
Time in degree and close and distant degree information between other people, profile information, photograph tags information, GPS location,
Organizations's information, activity description, remark information, built people information;
1.7, performing user search instruction is:
When user choose initial conditions check photographic intelligence time, system perform initial conditions check photo;User is according to known letter
Breath, key in key word, system goes out relevant photo and personage's head portrait according to keyword retrieval, key word be organizations's information,
Person names, time period, GPS location, activity description or a combination thereof;
The relevant picture that the arbitrarily selected system retrieval of user goes out, it is intended that read this photographic intelligence, system displays out about selected photograph
The people information of sheet;
When user arbitrarily keys in about activity name, organizations's information key, and system goes out relevant according to keyword retrieval
Collective's photo, and display out activity time, activity name, activity venue information and remark information;User arbitrarily selectes collective
Any one personage's head portrait in photo, system performs information retrieval, displays out people information.
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CN108733807A (en) * | 2018-05-18 | 2018-11-02 | 北京小米移动软件有限公司 | Search the method and device of photo |
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CN112784719A (en) * | 2021-01-13 | 2021-05-11 | 伙伴愿景(广东)智能科技有限公司 | Accurate human vein matching method based on block chain and artificial intelligence, storage medium and system |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101668176A (en) * | 2009-09-25 | 2010-03-10 | 北京酷联天下科技有限公司 | Multimedia content-on-demand and sharing method based on social interaction graph |
CN102043820A (en) * | 2009-10-26 | 2011-05-04 | 鸿富锦精密工业(深圳)有限公司 | Analytical system and analytical method of personal connections |
CN102651748A (en) * | 2011-02-23 | 2012-08-29 | 上海博路信息技术有限公司 | Photo sharing system on basis of geographic position |
CN103177051A (en) * | 2011-12-23 | 2013-06-26 | 致伸科技股份有限公司 | Photo management system |
-
2013
- 2013-08-22 CN CN201310382920.XA patent/CN103412951B/en not_active Expired - Fee Related
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101668176A (en) * | 2009-09-25 | 2010-03-10 | 北京酷联天下科技有限公司 | Multimedia content-on-demand and sharing method based on social interaction graph |
CN102043820A (en) * | 2009-10-26 | 2011-05-04 | 鸿富锦精密工业(深圳)有限公司 | Analytical system and analytical method of personal connections |
CN102651748A (en) * | 2011-02-23 | 2012-08-29 | 上海博路信息技术有限公司 | Photo sharing system on basis of geographic position |
CN103177051A (en) * | 2011-12-23 | 2013-06-26 | 致伸科技股份有限公司 | Photo management system |
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