CN108717464A - photo processing method, device and terminal device - Google Patents
photo processing method, device and terminal device Download PDFInfo
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- CN108717464A CN108717464A CN201810553896.4A CN201810553896A CN108717464A CN 108717464 A CN108717464 A CN 108717464A CN 201810553896 A CN201810553896 A CN 201810553896A CN 108717464 A CN108717464 A CN 108717464A
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Abstract
A kind of photo processing method of offer of the embodiment of the present invention, device and terminal device.This method includes：Obtain the first attribute information of each photo in the stored multiple photos of terminal device；According to the first attribute information of each photo and preset multiple type informations in multiple photo, classify to multiple photo；Inquiry request input by user is received, which includes the second attribute information of the target picture of user inquiry；According to the second attribute information of the target picture, type information corresponding with the second attribute information of the target picture is determined, and according to type information corresponding with the second attribute information of the target picture, determine and show the target picture of user inquiry.The embodiment of the present invention allows user quickly to find out the photo of a certain personage or the group photo photo of a few a personages.
Description
Technical field
The present embodiments relate to a kind of field of communication technology more particularly to photo processing method, device and terminal devices.
Background technology
Current mobile terminal is not only the indispensable means of communication of user, meanwhile, mobile terminal also has shooting function,
After user shoots a large amount of photos by mobile terminal, which can also arrange a large amount of photos.
In the prior art, mobile terminal can be according to the shooting time of photo and the photo mobile terminal when shooting
Location information, a large amount of photos in the mobile terminal are arranged, but user can not quickly find out a certain personage's
Photo or the group photo photo of a few a personages.
Invention content
A kind of photo processing method of offer of the embodiment of the present invention, device and terminal device, so that user can be quick
Find out the photo of a certain personage or the group photo photo of a few a personages.
In a first aspect, the embodiment of the present invention provides a kind of photo processing method, including：
Obtain the first attribute information of each photo in the stored multiple photos of terminal device；
According to the first attribute information of each photo and preset multiple type informations in the multiple photo, to institute
Multiple photos are stated to classify；
Inquiry request input by user is received, the inquiry request includes the second category of the target picture of user's inquiry
Property information；
According to the second attribute information of the target picture, determine corresponding with the second attribute information of the target picture
Type information, and according to type information corresponding with the second attribute information of the target picture, determine and simultaneously show the use
The target picture of family inquiry.
Second aspect, the embodiment of the present invention provide a kind of picture processing device, including：
Acquisition module, the first attribute information for obtaining each photo in the stored multiple photos of terminal device；
Sort module, for according to the first attribute information of each photo in the multiple photo and preset multiple
Type information classifies to the multiple photo；
Receiving module, for receiving inquiry request input by user, the inquiry request includes the mesh of user's inquiry
Mark the second attribute information of photo；
Determining module, for according to the second attribute information of the target picture, determining the with the target picture
The corresponding type information of two attribute informations, and according to type information corresponding with the second attribute information of the target picture, really
The target picture of fixed user's inquiry；
Display module, the target picture for showing user's inquiry.
The third aspect, the embodiment of the present invention provide a kind of terminal device, including：
Memory；
Processor；And
Computer program；
Wherein, the computer program is stored in the memory, and is configured as being executed with reality by the processor
Method described in existing first aspect.
Fourth aspect, the embodiment of the present invention provide a kind of computer readable storage medium, are stored thereon with computer program,
The computer program is executed by processor to realize the method described in first aspect.
Photo processing method, device and terminal device provided in an embodiment of the present invention have been stored by obtaining terminal device
Multiple photos in each photo the first attribute information, according to the first attribute information of each photo in the multiple photo,
And preset multiple type informations, classify to the multiple photo, and according to inquiry request input by user and right
The multiple photo carries out sorted as a result, determining and showing the target picture of user's inquiry so that user can be quick
Find out the photo of a certain personage or the group photo photo of a few a personages.
Description of the drawings
Fig. 1 is a kind of schematic diagram of application scenarios provided in an embodiment of the present invention；
Fig. 2 is photo processing method flow chart provided in an embodiment of the present invention；
Fig. 3 is the photo processing method flow chart that another embodiment of the present invention provides；
Fig. 4 is the structural schematic diagram of picture processing device provided in an embodiment of the present invention；
Fig. 5 is the structural schematic diagram of terminal device provided in an embodiment of the present invention.
Through the above attached drawings, it has been shown that the specific embodiment of the disclosure will be hereinafter described in more detail.These attached drawings
It is not intended to limit the scope of this disclosure concept by any means with verbal description, but is by referring to specific embodiments
Those skilled in the art illustrate the concept of the disclosure.
Specific implementation mode
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all implementations consistent with this disclosure.On the contrary, they be only with it is such as appended
The example of the consistent device and method of some aspects be described in detail in claims, the disclosure.
Photo processing method provided by the invention can be adapted for communication system shown in FIG. 1.As shown in Figure 1, the communication
System includes：Access network equipment 11 and terminal device 12.It should be noted that communication system shown in FIG. 1 can be adapted for
Different network formats, for example, can be adapted for global system for mobile telecommunications (Global System of Mobile
Communication, abbreviation GSM), CDMA (Code Division Multiple Access, abbreviation CDMA), broadband
CDMA (Wideband Code Division Multiple Access, abbreviation WCDMA), TD SDMA
(Time Division-Synchronous Code Division Multiple Access, abbreviation TD-SCDMA), it drills for a long time
Into network formats such as the 5G in (Long Term Evolution, abbreviation LTE) system and future.Optionally, above-mentioned communication system can
Think highly reliable low time delay communication (Ultra-Reliable and Low Latency in 5G communication systems
Communications, abbreviation URLLC) transmission scene in system.
So optionally, above-mentioned access network equipment 11 can be base station (the Base Transceiver in GSM or CDMA
Station, abbreviation BTS) and/or base station controller can also be base station (NodeB, abbreviation NB) in WCDMA and/or wireless
Network controller (Radio Network Controller, abbreviation RNC), can also be the evolved base station in LTE
(Evolutional Node B, abbreviation eNB or eNodeB) either base in relay station or access point or future 5G networks
Stand (gNB) etc., and the present invention does not limit herein.
Above-mentioned terminal device 12 can be that wireless terminal can also be catv terminal.Wireless terminal can be directed to user and carry
For voice and/or the equipment of other business datum connectivity, there is the portable equipment of wireless connecting function or be connected to wireless
Other processing equipments of modem.Wireless terminal can be through wireless access network (Radio Access Network, abbreviation
RAN it) is communicated with one or more equipments of the core network, wireless terminal can be mobile terminal, as mobile phone (or is
" honeycomb " phone) and computer with mobile terminal, for example, it may be portable, pocket, hand-held, built-in computer
Or vehicle-mounted mobile device, they exchange language and/or data with wireless access network.For another example wireless terminal can be with
It is personal communication service (Personal Communication Service, abbreviation PCS) phone, wireless phone, session setup
Agreement (Session Initiation Protocol, abbreviation SIP) phone, wireless local loop (Wireless Local
Loop, abbreviation WLL) it stands, the equipment such as personal digital assistant (Personal Digital Assistant, abbreviation PDA).It is wireless whole
End is referred to as system, subscriber unit (Subscriber Unit), subscriber station (Subscriber Station), movement station
(Mobile Station), mobile station (Mobile), distant station (Remote Station), remote terminal (Remote
Terminal), access terminal (Access Terminal), user terminal (User Terminal), user agent (User
Agent), user equipment (User Device or User Equipment), is not limited thereto.Optionally, above-mentioned terminal is set
Standby 12 can also be the equipment such as smartwatch, tablet computer.
Photo processing method provided by the invention, it is intended to solve the technical problem as above of the prior art.
How the technical solution of technical scheme of the present invention and the application is solved with specifically embodiment below above-mentioned
Technical problem is described in detail.These specific embodiments can be combined with each other below, for same or analogous concept
Or process may repeat no more in certain embodiments.Below in conjunction with attached drawing, the embodiment of the present invention is described.
Fig. 2 is photo processing method flow chart provided in an embodiment of the present invention.The embodiment of the present invention is for the prior art
Technical problem as above, provides photo processing method, and this method is as follows：
Step 201, the first attribute information for obtaining each photo in the stored multiple photos of terminal device.
In the present embodiment, terminal device can be specifically terminal device 12 shown in FIG. 1, and terminal device 12 has shooting
Function, such as terminal device 12 are equipped with camera, which can be one or more, if it is multiple cameras, then
The type of each camera, and each installation site of the camera on the terminal device 12 are not limited.Optionally, Yong Hutong
Crossing the shooting of terminal device 12 has a large amount of photo, and it is local that these a large amount of photos are stored in the terminal device 12.
Photo processing method described in the present embodiment can be by the processor such as image processor in the terminal device 12
It executes.The image processor can identify the people in every photo that the terminal device 12 is locally stored by image recognition algorithm
Face, it will be understood that if not having face in certain photo, but landscape, then the image processor is not known this photo
Not.Optionally, after the image processor identifies the face in every photo, different faces is marked, optionally,
The face of same person is marked using identical face identification information.In addition, the image processor can also calculate automatically
With the changes in faces for being recorded as long-standing children, ensure that the same children use identical face mark in the face of different times
Know information to be marked.
After the image processor identifies the face in every photo, the data about photo are further established
Library, the database include multiple entries, each entry include the name information of a photo, directory information, face identification information,
The attribute informations such as shooting time information, spot for photography information, number of person, optionally, shooting time information include shooting season.
The attribute information of each photo stored in the database is denoted as the first attribute information by the present embodiment.Optionally, when the terminal
When the local of equipment 12 often increases a photo, an entry, newly-built entry and increased photo pair are created in the database
It answers；When the local of the terminal device 12, which is often reduced, for example deletes a photo, then an entry, quilt are deleted in the database
The entry of deletion is corresponding with deleted photo.
Step 202 is believed according to the first attribute information of each photo in the multiple photo and preset multiple types
Breath, classifies to the multiple photo.
First attribute information of each photo that the image processor is further stored according to terminal device 12, and it is default
Multiple type informations, classify to the multiple photo, optionally, multiple type informations be denoted as C1, C2 ... Cn, should
Multiple type information structure types set, the type set are denoted as C, C=C1, C2 ... Cn }.
Optionally, described according to the first attribute information of each photo and preset multiple classes in the multiple photo
Type information classifies to the multiple photo, including：According to the first attribute information of each photo in the multiple photo,
And preset multiple type informations, establish disaggregated model；Classified to the multiple photo according to the disaggregated model.
For example, preset multiple type informations include：Single photo, the photo of shooting in 2017, the photograph shot in 2018
Piece, portrait photographs, picture with scenes, double photo, summer photo, winter photo etc..It, can be to the end according to each type information
The photo that end equipment 12 is locally stored is classified, and optionally, the photo being locally stored using the terminal device 12 is utilized as sample
The principle and Bayesian formula of machine learning establish disaggregated model such as Bayes classifier, further according to Bayes classifier
The new photo subsequently shot to the terminal device 12 is classified, for example, the new photo that the terminal device 12 is subsequently shot is remembered
For x, it is based on Bayesian formula, calculates the conditional probability P (Cj x) that new photo x belongs to Type C j, optionally, 1≤j≤n, P
Shown in the calculation formula formula specific as follows (1) of (Cj x)：
Wherein, P (Cj) indicates the prior probability of Type C j, that is, indicates that the photo for belonging to Type C j accounts for the ratio of photo sum
Example；P (x Cj) indicates the conditional probability of new photo x when known type Cj；P (x) indicates normaliztion constant, i.e. new photo x's
Marginal probability.Optionally, when the value maximum of P (Cj x), it is believed that new photo x belongs to Type C j.
In addition, in other embodiments, the method further includes：It obtains the terminal device and is storing the multiple photo
The photo shot later；According to the photo that the terminal device is shot, the disaggregated model is updated.
It is appreciated that after establishing disaggregated model such as Bayes classifier, over time, the terminal device
12 can also constantly shoot new photo so that the terminal device 12 can also be stored with more new photos, further, using terminal
The new photo that equipment 12 is shot is updated the disaggregated model such as Bayes classifier, to improve the Bayes classifier
Classification accuracy.
Optionally, the new photo that terminal device 12 is shot is denoted as collection of photographs D, D={ x1, x2 ..., xn }, x1,
X2 ..., xn indicates that the new photo that terminal device 12 is shot, conditional probability are expressed as P (D μ, δ respectively2), P (D μ, δ2)
Calculation formula formula specific as follows (2) shown in：
Wherein, μ indicates mean value, δ2Indicate variance.
After obtaining collection of photographs D, the prediction for the statistical model that can be distributed according to collection of photographs D update probabilities improves
The precision of photo classification model.It is specific as follows to the renewal process of the disaggregated model：
1) input type set C={ C1, C2 ... Cn }.
2) use fast filtering feature selecting algorithm (Fast Correlation-Based Filter Solution,
Abbreviation FCBF) data processing is carried out to the photo stored in terminal device 12.
3) training set Dtrain is generated.
4) according to different types of photo, Bayes classifier NB is established.
5) according to training set Dtrain training Bayes classifiers NB.
6) test set Dtest is generated.
7) according to test set Dtest test Bayes classifiers NB.
8) new photo for shooting the terminal device is denoted as New-data as new data, the new data.
Optionally, after obtaining new data New-data, using FCBF feature selecting algorithms remove the new data it
Between relating attribute and redundant attributes, to improve the reliability of the new data as far as possible.Optionally, the new data New-
Data is above-mentioned x1, x2 ..., xn, the collection which is constituted is combined into above-mentioned collection of photographs D.Into
One step, it is two subclass that collection of photographs D, which is divided to, and one of subset is combined into training dataset, another subset is combined into survey
Try data set.Optionally, the ratio that various types of photos are concentrated in training data and various types of photographs in collection of photographs D
The ratio of piece is consistent, and the ratio for concentrating various types of photos in test data and various types of photographs in collection of photographs D
The ratio of piece is consistent.
9) the new mean value of the new data is calculated, which is denoted as New-mean.
10) the new variance of the new data is calculated, which is denoted as New-var.
The new variance indicates each new the distance between data and average value in collection of photographs D, it will be understood that side
Difference is smaller, and the degree of polymerization of each new data is bigger in collection of photographs D, and training data concentrates the discrimination between training data
It is bigger.
11) training is updated according to the training data set pair Bayes classifier obtained by collection of photographs D to obtain newly
Bayes classifier, which is denoted as New-NB.
12) it is surveyed according to the test data set pair new Bayes classifier New-NB obtained by collection of photographs D
Examination.
Step 203 receives inquiry request input by user, and the inquiry request includes the target picture of user's inquiry
The second attribute information.
Optionally, first attribute information or second attribute information include following at least one：Face mark letter
Breath, shooting time information, spot for photography information, number of person.
When user checks the photo in terminal device 12, user can be defeated in the user interface that terminal device 12 provides
Enter inquiry request, for example, inquiry request input by user is：Check single photos of the USER1 in 2017, wherein USER1 can
To be face identification information, " 2017 ", " single photo " they are respectively the attribute information of the target picture of user inquiry, this
Place, is denoted as the second attribute information, in addition, the second attribute information is not limited to by the attribute information for the target picture that the user inquires
" 2017 ", " single photo ".
Step 204, the second attribute information according to the target picture, determine the second attribute with the target picture
The corresponding type information of information, and according to type information corresponding with the second attribute information of the target picture, determine and show
Show the target picture of user's inquiry.
When terminal device 12 receives the inquiry request of user, according to the second attribute of the target picture of user inquiry
Information determines that type information corresponding with second attribute information, the type information are respectively C1=2017 shootings and C2
=single photo, further, terminal device 12 determine the collection of photographs for belonging to shooting in 2017 and the photograph for belonging to single photo
Piece set, and determine to belong to the collection of photographs of shooting in 2017 and belong to the intersection of the collection of photographs of single photo, from the friendship
The photo for determining that face identification information is USER1 is concentrated, which is the target picture of user's inquiry, further by the mesh
Mark photo is shown on the screen of terminal device 12.
The embodiment of the present invention by obtaining the first attribute information of each photo in the stored multiple photos of terminal device,
According to the first attribute information of each photo and preset multiple type informations in the multiple photo, to the multiple photograph
Piece is classified, and according to inquiry request input by user, and carries out sorted to the multiple photo as a result, determining simultaneously
Show the target picture of user's inquiry so that user can quickly find out the photo of a certain personage or the conjunction of a few a personages
Shadow photo.
Fig. 3 is the photo processing method flow chart that another embodiment of the present invention provides.On the basis of the above embodiments, originally
The photo processing method that embodiment provides further includes following steps：
Step 301 obtains identity of personage card image in the photo.
In the present embodiment, user can also increase association of the face identification information for example between USER ID and name and close
System.The incidence relation established between face identification information and name can also be demonstrate,proved by scanning identity of personage in the photo.
It is demonstrate,proved for example, terminal device 12 can scan identity of personage in the photo, the people can also be obtained from server
The image information of the identity card of object.
The facial image and name of personage described in step 302, the identification ID Card Image.
It is demonstrate,proved when terminal device 12 scans identity of personage in the photo, or obtain from server the identity card of the personage
After image information, the facial image and name of personage in the ID Card Image are identified.
The people of personage described in step 303, the facial image of the personage described in the photo and the ID Card Image
When the similarity of face image is more than threshold value, the name of the face identification information of the personage and the personage is associated.
When terminal device 12 identifies the face in certain photo being locally stored, the face of the personage in the photo is calculated
The similarity of image and the facial image in the ID Card Image of the personage establishes the personage when the similarity is more than threshold value
Face identification information and personage name incidence relation.
Step 304, according to the name of personage described in each photo in the stored multiple photos of the terminal device, it is right
The multiple photo is classified.
After terminal device 12 identifies the face in each photo being locally stored, each face mark letter can be established
The incidence relation of breath and the name of personage, and each photo that terminal device 12 is locally stored is divided according to the name of personage
Class.When user checks the photo that terminal device 12 stores, terminal device 12 can be shown with the sorted multiple files of name,
Each file corresponds to a name, includes multiple photos in each file, and the photo in each file is according to shooting
Time is ranked up.
The embodiment of the present invention demonstrate,proves image by obtaining identity of personage in the photo, identifies institute in the ID Card Image
The facial image and name of personage are stated, and according to the facial image of personage in the photo stored in terminal device and the identity card figure
The similarity of the facial image of the personage, establishes the incidence relation of face identification information and name as in, thus further basis
The name of each personage, classifies to the photo stored in the terminal device in the photo stored in the terminal device so that
User further can quickly find out the photo of a certain personage or the group photo photo of a few a personages.
Fig. 4 is the structural schematic diagram of picture processing device provided in an embodiment of the present invention.The picture processing device specifically may be used
To be the terminal device in above-described embodiment.Picture processing device provided in an embodiment of the present invention can execute photo processing method
The process flow that embodiment provides, as shown in figure 4, picture processing device 40 includes：Acquisition module 41, receives sort module 42
Module 43, determining module 44 and display module 45；Wherein, acquisition module 41 is for obtaining the stored multiple photos of terminal device
In each photo the first attribute information；Sort module 42 is used to be believed according to the first attribute of each photo in the multiple photo
Breath and preset multiple type informations, classify to the multiple photo；Receiving module 43 is input by user for receiving
Inquiry request, the inquiry request include the second attribute information of the target picture of user's inquiry；Determining module 44 is used for
According to the second attribute information of the target picture, type letter corresponding with the second attribute information of the target picture is determined
Breath, and according to type information corresponding with the second attribute information of the target picture, determine that the target of user's inquiry is shone
Piece；Display module 45 is used to show the target picture of user's inquiry.
Optionally, first attribute information or second attribute information include following at least one：Face mark letter
Breath, shooting time information, spot for photography information, number of person.
Optionally, acquisition module 41 is additionally operable to：It obtains identity of personage in the photo and demonstrate,proves image；Picture processing device 40
Further include：Identification module 46 and relating module 47；The people of the personage described in the ID Card Image for identification of identification module 46
Face image and name；Relating module 47 is used for when institute in the facial image and the ID Card Image of personage described in the photo
When stating the similarity of the facial image of personage and being more than threshold value, by the face identification information of the personage and the name of the personage into
Row association.
Optionally, sort module 42 is additionally operable to：According in each photo in the stored multiple photos of the terminal device
The name of the personage classifies to the multiple photo.
Optionally, sort module 42 is specifically used for：According to the first attribute information of each photo in the multiple photo, with
And preset multiple type informations, establish disaggregated model；Classified to the multiple photo according to the disaggregated model.
Optionally, acquisition module 41 is additionally operable to：Obtain what the terminal device was shot after storing the multiple photo
Photo；Picture processing device 40 further includes：Update module 48；The photograph that update module 48 is used to be shot according to the terminal device
Piece is updated the disaggregated model.
The picture processing device of embodiment illustrated in fig. 4 can be used for executing the technical solution of above method embodiment, realize
Principle is similar with technique effect, and details are not described herein again.
Fig. 5 is the structural schematic diagram of terminal device provided in an embodiment of the present invention.Terminal provided in an embodiment of the present invention is set
The standby process flow that the offer of photo processing method embodiment can be provided, as shown in figure 5, terminal device 50 include memory 51,
Processor 52, computer program and communication interface 53；Wherein, computer program is stored in memory 51, and be configured as by
Processor 52 executes the photo processing method described in above example.
The terminal device of embodiment illustrated in fig. 5 can be used for executing the technical solution of above method embodiment, realization principle
Similar with technique effect, details are not described herein again.
In addition, the present embodiment also provides a kind of computer readable storage medium, it is stored thereon with computer program, the meter
Calculation machine program is executed by processor to realize the photo processing method described in above-described embodiment.
In several embodiments provided by the present invention, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of the unit, only
Only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can be tied
Another system is closed or is desirably integrated into, or some features can be ignored or not executed.Another point, it is shown or discussed
Mutual coupling, direct-coupling or communication connection can be the INDIRECT COUPLING or logical by some interfaces, device or unit
Letter connection can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can be stored in one and computer-readable deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer
It is each that equipment (can be personal computer, server or the network equipment etc.) or processor (processor) execute the present invention
The part steps of embodiment the method.And storage medium above-mentioned includes：USB flash disk, mobile hard disk, read-only memory (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. it is various
The medium of program code can be stored.
Those skilled in the art can be understood that, for convenience and simplicity of description, only with above-mentioned each function module
Division progress for example, in practical application, can be complete by different function modules by above-mentioned function distribution as needed
At the internal structure of device being divided into different function modules, to complete all or part of the functions described above.On
The specific work process for stating the device of description, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Present invention has been described in detail with reference to the aforementioned embodiments for pipe, it will be understood by those of ordinary skill in the art that：Its according to
So can with technical scheme described in the above embodiments is modified, either to which part or all technical features into
Row equivalent replacement；And these modifications or replacements, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (14)
1. a kind of photo processing method, which is characterized in that including：
Obtain the first attribute information of each photo in the stored multiple photos of terminal device；
According to the first attribute information of each photo and preset multiple type informations in the multiple photo, to described more
A photo is classified；
Inquiry request input by user is received, the inquiry request includes the second attribute letter of the target picture of user's inquiry
Breath；
According to the second attribute information of the target picture, class corresponding with the second attribute information of the target picture is determined
Type information, and according to type information corresponding with the second attribute information of the target picture, determine and show that the user looks into
The target picture of inquiry.
2. according to the method described in claim 1, it is characterized in that, first attribute information or the second attribute information packet
Include following at least one：Face identification information, shooting time information, spot for photography information, number of person.
3. according to the method described in claim 2, it is characterized in that, the method further includes：
It obtains identity of personage in the photo and demonstrate,proves image；
Identify the facial image and name of personage described in the ID Card Image；
The facial image of personage is similar described in the facial image and the ID Card Image of the personage described in the photo
When degree is more than threshold value, the name of the face identification information of the personage and the personage is associated.
4. according to the method described in claim 3, it is characterized in that, the method further includes：
According to the name of personage described in each photo in the stored multiple photos of the terminal device, to the multiple photo
Classify.
5. according to claim 1-4 any one of them methods, which is characterized in that described each to be shone according in the multiple photo
First attribute information of piece and preset multiple type informations, classify to the multiple photo, including：
According to the first attribute information of each photo and preset multiple type informations in the multiple photo, classification is established
Model；
Classified to the multiple photo according to the disaggregated model.
6. according to the method described in claim 5, it is characterized in that, the method further includes：
Obtain the photo that the terminal device is shot after storing the multiple photo；
According to the photo that the terminal device is shot, the disaggregated model is updated.
7. a kind of picture processing device, which is characterized in that including：
Acquisition module, the first attribute information for obtaining each photo in the stored multiple photos of terminal device；
Sort module, for according to the first attribute information of each photo and preset multiple types in the multiple photo
Information classifies to the multiple photo；
Receiving module, for receiving inquiry request input by user, the inquiry request includes that the target of user's inquiry is shone
Second attribute information of piece；
Determining module is determined to belong to the second of the target picture for the second attribute information according to the target picture
The property corresponding type information of information, and according to type information corresponding with the second attribute information of the target picture, determine institute
State the target picture of user's inquiry；
Display module, the target picture for showing user's inquiry.
8. picture processing device according to claim 7, which is characterized in that first attribute information or second category
Property information include following at least one：Face identification information, shooting time information, spot for photography information, number of person.
9. picture processing device according to claim 8, which is characterized in that the acquisition module is additionally operable to：Described in acquisition
Identity of personage demonstrate,proves image in photo；
The picture processing device further includes：Identification module and relating module；
The facial image and name of identification module personage described in the ID Card Image for identification；
The relating module is used to work as personage described in the facial image and the ID Card Image of personage described in the photo
Facial image similarity be more than threshold value when, the name of the face identification information of the personage and the personage is closed
Connection.
10. picture processing device according to claim 9, which is characterized in that
The sort module is additionally operable to：According to personage described in each photo in the stored multiple photos of the terminal device
Name classifies to the multiple photo.
11. according to claim 7-10 any one of them picture processing devices, which is characterized in that the sort module is specifically used
In：
According to the first attribute information of each photo and preset multiple type informations in the multiple photo, classification is established
Model；
Classified to the multiple photo according to the disaggregated model.
12. picture processing device according to claim 11, which is characterized in that the acquisition module is additionally operable to：Obtain institute
State the photo that terminal device is shot after storing the multiple photo；
The picture processing device further includes：Update module, the photo for being shot according to the terminal device, to the classification
Model is updated.
13. a kind of terminal device, which is characterized in that including：
Memory；
Processor；And
Computer program；
Wherein, the computer program is stored in the memory, and is configured as being executed to realize such as by the processor
Claim 1-6 any one of them methods.
14. a kind of computer readable storage medium, which is characterized in that be stored thereon with computer program, the computer program
It is executed by processor to realize method as claimed in any one of claims 1 to 6.
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