CN108062405A - Picture classification method, device, storage medium and electronic equipment - Google Patents
Picture classification method, device, storage medium and electronic equipment Download PDFInfo
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- CN108062405A CN108062405A CN201711461517.0A CN201711461517A CN108062405A CN 108062405 A CN108062405 A CN 108062405A CN 201711461517 A CN201711461517 A CN 201711461517A CN 108062405 A CN108062405 A CN 108062405A
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- chained address
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/182—Distributed file systems
- G06F16/1824—Distributed file systems implemented using Network-attached Storage [NAS] architecture
- G06F16/183—Provision of network file services by network file servers, e.g. by using NFS, CIFS
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- 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
Abstract
This application discloses a kind of picture classification method, device, storage medium and electronic equipment, the described method includes：When detecting that picture includes figure information, the facial image of the picture is identified；If recognizing facial image, the storage chained address of the picture is stored in by corresponding picture storage chained address set according to the facial image；If unidentified to facial image, the picture is matched with multiple pictures storage corresponding picture of chained address set；If successful match, by the matched successful picture storage chained address set of the storage chained address deposit of the picture.Picture according to facial image can effectively be classified, user is made to need not move through cumbersome lookup with regard to all pictures all about someone can be found.
Description
Technical field
The application belongs to field of communication technology more particularly to a kind of picture classification method, device, storage medium and electronics are set
It is standby.
Background technology
With the continuous popularization and the continuous enhancing of function of intelligent terminal, taken pictures by intelligent terminal, all kinds of social activities are answered
With and web page browsing can obtain various photos and picture, so cause to be stored in intelligent terminal picture library a large amount of
Picture.
At present, when classifying to intelligent terminal picture library, classified according to time and location mostly.I.e. by photo
The time of shooting, the reading in place with positioning the photo in photograph album is ranked up and classified.Therefore, current photograph album
Mode classification is too simple, is only through when and where by the picture classification in photograph album, causes the picture in picture library mixed and disorderly.
The content of the invention
The application provides a kind of picture classification method, device, storage medium and electronic equipment, to the picture of intelligent terminal into
Row Rational Classification.
In a first aspect, the embodiment of the present application provides a kind of picture classification method, applied to electronic equipment, the method bag
It includes：
When detecting that picture includes figure information, the facial image of the picture is identified；
It is according to the facial image that the storage chained address deposit of the picture is corresponding if recognizing facial image
Picture storage chained address set；
If unidentified to facial image, by the picture and multiple pictures storage chained address corresponding picture of set into
Row matching；
If successful match, the matched successful picture storage chains of storage chained address deposit of the picture are grounded
Gather location.
Second aspect, the embodiment of the present application provides a kind of picture classifier, applied to electronic equipment, described device bag
It includes：
Identification module is detected, for when detecting that picture includes figure information, identifying the facial image of the picture；
First processing module, if for recognizing facial image, according to the facial image by the storage of the picture
Chained address is stored in corresponding picture storage chained address set；
Picture match module, if being grounded the picture and multiple picture storage chains to facial image for unidentified
Gather corresponding picture and matched in location；
Second processing module, if for successful match, by the storage chained address deposit of the picture it is matched into
The picture storage chained address set of work(.
The third aspect, the embodiment of the present application provide a kind of storage medium, computer program are stored thereon with, when the calculating
When machine program is run on computers so that the computer performs above-mentioned picture classification method.
Fourth aspect, the embodiment of the present application provide a kind of electronic equipment, and including processor and memory, the memory has
Computer program, the processor is by calling the computer program, for performing above-mentioned picture classification method.
Picture classification method provided by the embodiments of the present application, device, storage medium and electronic equipment, by when detecting figure
When piece includes figure information, the facial image of picture is identified；If recognizing facial image, according to facial image depositing picture
It stores up chained address and is stored in corresponding picture storage chained address set；If unidentified to facial image, by picture and multiple figures
Gather corresponding picture and matched in piece storage chained address；If successful match, by the deposit of the storage chained address of picture with
The picture storage chained address set of its successful match.Picture is not packed together according still further to time or place, can be by picture
Effectively classified according to facial image, user is made to need not move through cumbersome lookup with regard to the institute all about someone can be found
There is picture.Picture is succinct convenient by facial image classification, is easy to search, meets the use habit of user.
Description of the drawings
In order to illustrate more clearly of the technical solution in the embodiment of the present application, make required in being described below to embodiment
Attached drawing is briefly described.It should be evident that the accompanying drawings in the following description is only some embodiments of the present application, for
For those skilled in the art, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the application scenarios schematic diagram of picture classifier provided by the embodiments of the present application.
Fig. 2 is the first flow diagram of picture classification method provided by the embodiments of the present application.
Fig. 3 is second of flow diagram of picture classification method provided by the embodiments of the present application.
Fig. 4 is the third flow diagram of picture classification method provided by the embodiments of the present application.
Fig. 5 is the 4th kind of flow diagram of picture classification method provided by the embodiments of the present application.
Fig. 6 is the 5th kind of flow diagram of picture classification method provided by the embodiments of the present application.
Fig. 7 is the 6th kind of flow diagram of picture classification method provided by the embodiments of the present application.
Fig. 8 is the 7th kind of flow diagram of picture classification method provided by the embodiments of the present application.
Fig. 9 is the first structure diagram of picture classifier provided by the embodiments of the present application.
Figure 10 is second of structure diagram of picture classifier provided by the embodiments of the present application.
Figure 11 is the third structure diagram of picture classifier provided by the embodiments of the present application.
Figure 12 is the 4th kind of structure diagram of picture classifier provided by the embodiments of the present application.
Figure 13 is the 5th kind of structure diagram of picture classifier provided by the embodiments of the present application.
Figure 14 is the structure diagram of electronic equipment provided by the embodiments of the present application.
Figure 15 is another structure diagram of electronic equipment provided by the embodiments of the present application.
Specific embodiment
Schema is refer to, wherein identical element numbers represent identical component, the principle of the application is to implement one
It is illustrated in appropriate computing environment.The following description be based on illustrated the application specific embodiment, should not be by
It is considered as limitation the application other specific embodiments not detailed herein.
In the following description, the specific embodiment of the application will be with reference to as the step performed by one or multi-section computer
And symbol illustrates, unless otherwise stating clearly.Therefore, these steps and operation will have to mention for several times is performed by computer, this paper institutes
The computer execution of finger includes by representing with the computer processing unit of the electronic signal of the data in a structuring pattern
Operation.This operation is converted at the data or the position being maintained in the memory system of the computer, reconfigurable
Or in addition change the running of the computer in a manner of known to the tester of this field.The data structure that the data are maintained
For the provider location of the memory, there is the specific feature as defined in the data format.But the application principle is with above-mentioned text
Word illustrates that be not represented as a kind of limitation, this field tester will appreciate that plurality of step as described below and behaviour
Also may be implemented among hardware.
Term as used herein " module " can regard the software object to be performed in the arithmetic system as.It is as described herein
Different components, module, engine and service can be regarded as the objective for implementation in the arithmetic system.And device as described herein and side
Method can be implemented in a manner of software, can also be implemented certainly on hardware, within the application protection domain.
Term " first ", " second " and " the 3rd " in the application etc. is for distinguishing different objects rather than for retouching
State particular order.In addition, term " comprising " and " having " and their any deformations, it is intended that cover non-exclusive include.
Such as contain the step of process, method, system, product or the equipment of series of steps or module is not limited to list or
Module, but some embodiments further include the step of not listing or module or some embodiments further include for these processes,
Method, product or equipment intrinsic other steps or module.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Referring to Fig. 1, Fig. 1 is the application scenarios schematic diagram of picture classifier provided by the embodiments of the present application.For example, figure
Piece sorter identifies the facial image of picture when detecting that picture includes figure information；If recognizing facial image, root
The storage chained address of picture is stored in corresponding picture storage chained address set a according to facial image；It is if unidentified to people
Face image then matches picture with multiple pictures storage corresponding picture of chained address set；It, will figure if successful match
In the matched successful picture storage chained address set b of storage chained address deposit of piece.
The embodiment of the present application provides a kind of picture classification method, and the executive agent of the picture classification method can be the application
The picture classifier of embodiment offer or the electronic equipment for being integrated with the picture classifier, the wherein picture classification fill
It puts and the mode of hardware or software may be employed realizes.It is understood that the executive agent of the embodiment of the present application can be all
The terminal device of such as smart mobile phone or tablet computer.
The embodiment of the present application will be described from the angle of picture classifier, which can specifically integrate
In the electronic device.The picture classification method includes：When detecting that picture includes figure information, the face figure of picture is identified
Picture；If recognizing facial image, the storage chained address of picture is stored in by corresponding picture storage link according to facial image
Address set；If unidentified to facial image, picture picture corresponding with multiple pictures storage chained address set is carried out
Matching；If successful match, by the matched successful picture storage chained address set of the storage chained address deposit of picture.
Referring to Fig. 2, Fig. 2 is the first flow diagram of picture classification method provided by the embodiments of the present application.This Shen
Please embodiment provide picture classification method be applied to electronic equipment, idiographic flow can be as follows：
Step 101, when detecting that picture includes figure information, the facial image of picture is identified.
Picture can be the camera shooting photo obtained of electronic equipment or the photograph obtained by social software
Piece, picture etc. can also be the photo kept by web browsing or picture etc..
It detects whether the picture has figure information first, can specifically be gone to detect the figure according to human Facial Image Recognition Algorithm
Piece when the picture includes figure information, then removes to identify the facial image of the picture.It is mainly used for distinguishing whether the picture is people
Object picture.
Step 102, it is according to facial image that the storage chained address deposit of picture is corresponding if recognizing facial image
Picture storage chained address set.
Because the picture includes figure information, then the facial image of the picture is next identified, after recognizing facial image,
The storage chained address of picture is stored in corresponding picture storage chained address set further according to the facial image.
Multiple picture storage chained address set can be pre-set, each picture storage chained address collection is combined into same
The picture set of people.Then the facial image is matched with the facial image of the picture storage corresponding people of chained address set,
The storage chained address of the picture is then stored in picture storage chained address set by successful match.It is not by the storage of picture
Change in location is only that the storage chained address of picture is stored in a set.
Referring to Fig. 3, Fig. 3 is second of flow diagram of picture classification method provided by the embodiments of the present application.This Shen
Please embodiment provide the storage chained address of picture is stored in by corresponding picture storage chained address set according to facial image
The step of, idiographic flow can be as follows：
Step 1021, the reference facial image of each picture storage chained address set is obtained.
Multiple picture storage chained address set can be pre-set, each picture storage chained address set includes more
A picture, all pictures that a picture is stored in the set of chained address all include the picture of a people, and a such as picture stores
All pictures all include the facial image of user A in the set of chained address.Gather corresponding figure in picture storage chained address
It is with reference to facial image that the high facial image of an identification is chosen in piece.This can also be replaced with reference to facial image.
The high facial image of identification can be the facial image not with any ornament, such as certificate photo, or
Daily life is shone, or the highest facial image of the frequency of occurrences in the set of picture storage chained address, the people such as to wear glasses
Face image etc..
Step 1022, it is facial image is corresponding with multiple pictures storage chained address set with reference to facial image matching.
The facial image of the picture facial image that refers to corresponding with picture storage chained address set is compared one by one
Matching when comparing successful match, then stops comparing matching process.
Step 1023, if facial image successful match, the storage chained address of picture is stored in corresponding picture and is stored
Gather chained address.
When face picture and the reference facial image successful match of one of picture storage chained address set, then should
The storage chained address of picture is stored in corresponding picture storage chained address set, i.e., successfully refers to face with the picture match
The picture storage chained address set of image.
Step 1024, if facial image matching is unsuccessful, the newly-built picture storage chained address of picture deposit is gathered,
Facial image is set to the reference facial image of newly-built picture storage chained address set.
When facial image all matches with the reference facial image of all picture storage chained address set unsuccessful, then say
The bright facial image is new facial image, at this point, newly-built picture storage chained address set, by the storage chains of the picture
It is grounded the newly-built picture storage chained address set of location deposit.The facial image is set simultaneously for newly-built picture storage chains ground connection
The reference facial image of location set.After subsequently thering is new picture to be stored in the newly-built picture storage chained address set, then pass through
The facial image of multiple pictures is compared, it is with reference to facial image to choose the higher facial image of identification.It is linked when picture stores
After the corresponding picture number of address set reaches certain amount such as 20 pictures, there is no the deposit of new picture, just update refers to face
Image.After only new picture reaches certain amount such as 10, facial image is just more referred to.Or more than intervals such as 30
After it, having new picture deposit, just update refers to facial image.Or new picture reaches certain amount and more than certain time
Behind interval, just update is with reference to facial image.
Referring to Fig. 4, Fig. 4 is the third flow diagram of picture classification method provided by the embodiments of the present application.This Shen
Please embodiment provide picture classification method further include following flow：
Step 1025, default facial image is obtained.
It is default facial image that one or more facial images, which can be set,.For example, the face that can set user A is pre-
If facial image.
Step 1026, determine that default facial image is corresponding and refer to facial image.
In each picture storage chained address set is corresponding with reference to facial image, determine and the default facial image
The reference facial image matched somebody with somebody.
Step 1027, obtain with reference to the corresponding picture storage chained address set of facial image.
It obtains after referring to facial image, and then this can be obtained with reference to the corresponding picture storage chained address collection of facial image
It closes.
Step 1028, corresponding picture storage is gathered into default memory space in picture storage chained address, and is uploaded to
It backs up in high in the clouds.
Corresponding picture storage is gathered into default memory space in picture storage chained address, default face figure will be included
The picture of picture is all stored to a default memory space.For example, the photo of oneself is all unifiedly stored to a file by user A
In.And it also says that the picture in this document folder all uploads high in the clouds backup, ensures the security of the part picture.
Referring to Fig. 5, Fig. 5 is the 4th kind of flow diagram of picture classification method provided by the embodiments of the present application.This Shen
Please embodiment provide the storage chained address of picture is stored in by corresponding picture storage chained address set according to facial image
The step of, idiographic flow can be as follows：
Step 2021, identification picture includes the quantity of facial image.
By Arithmetic of Face Image Recognition, the quantity of facial image is included in identification picture.
Step 2022, if quantity is more than default amount threshold, the storage chained address of picture is stored in the first picture and is deposited
Store up chained address set.
If the quantity of facial image is more than default amount threshold such as 5, it may be group picture to illustrate the picture, if often
The corresponding picture storage chained address set of a facial image all stores the storage chained address of the picture, then causes a large amount of
Repetition.
Step 2023, if quantity is less than or equal to default amount threshold, the storage of picture is linked according to facial image
Address is stored in corresponding picture storage chained address set.
If the quantity of facial image is less than or equal to default amount threshold, the face that can include the picture according to it
Image, will be in multiple pictures storage chained address set of the corresponding multiple facial images of storage chained address deposit of the picture
It goes.
Referring to Fig. 6, Fig. 6 is the 5th kind of flow diagram of picture classification method provided by the embodiments of the present application.This Shen
Please embodiment provide the storage chained address of picture is stored in by corresponding picture storage chained address set according to facial image
The step of, idiographic flow can be as follows：
Step 2021, identification picture includes the quantity of facial image.
By Arithmetic of Face Image Recognition, the quantity of facial image is included in identification picture.
Step 2022, if quantity is more than default amount threshold, the storage chained address of picture is stored in the first picture and is deposited
Store up chained address set.
If the quantity of facial image is more than default amount threshold such as 5, it may be group picture to illustrate the picture, if often
The corresponding picture storage chained address set of a facial image all stores the storage chained address of the picture, then causes a large amount of
Repetition.
Step 2024, if quantity is less than or equal to default amount threshold, and quantity is more than or equal to 2, then obtaining picture includes
Each facial image storage priority level.
If the quantity of facial image is less than or equal to default amount threshold, and is the group photo of more people more than or equal to 2.Then
The storage priority level for each facial image that picture includes can first be obtained.The storage priority level of the facial image can be pre-
It first sets, can such as preset and set the storage priority level of the facial images of user A in itself that can also set user A's for height
The storage priority level of the facial image of household is height, such as the child of user A.
Step 2025, if the storage priority level of facial image is height, the storage chained address of picture is stored in face
Image is the picture storage chained address set with reference to facial image.
It, then should by the storage chained address deposit of the picture when the storage priority level of the facial image in picture is high
The corresponding picture storage chained address set of facial image.
Step 2026, if the storage priority level for each facial image that picture includes is low, by the storage chains of picture
It is grounded location deposit second picture storage chained address set.
When the storage priority level of the face images in picture is low, illustrate what is paid close attention to without special needs
The picture can be then stored in second picture storage chained address set by people.
In some embodiments, can also include：
If the storage priority level of facial image is low, and it is high facial image that picture, which includes storage priority level, then
Need not be the low corresponding picture storage link of facial image by the storage chained address deposit storage priority level of the picture
Address set.For example, picture includes user A, user B, the facial image of user C, the storage of the wherein facial image of user A is excellent
First grade is height, user B, user C facial image storage priority level to be low, then the storage chained address deposit of the picture
The corresponding picture storage chained address set of user A need not be stored in the corresponding picture storage chained address collection of user B, user C
It closes.Need not be user B and user C if the picture including user B, user's C facial images is all the group photo with user A
Picture is set to store chained address set.
Step 103, if unidentified to facial image, picture is stored into the corresponding figure of chained address set with multiple pictures
Piece is matched.
If unidentified to facial image, but the picture includes figure information, probably due to the reasons such as angle, light do not have
Recognize facial image.For example, because angular relationship, the face part of picture is less, and such as only a quarter, None- identified arrives
Complete facial image or because light relation, the light of picture face part is too light or too dark, and None- identified goes out people
Situations such as shake causes ghost image when the details of face image or shooting, can not be recognized accurately facial image.But these
Picture may be the photo that user's art shooting obtains or the photo that user likes.
It can be handled with picture by virtualization, facial image has carried out virtualization processing so that None- identified to the virtualization
Facial image.
If unidentified to after facial image, by picture picture progress corresponding with multiple pictures storage chained address set
Match somebody with somebody.The characteristic point of the unidentified picture to facial image can be such as extracted, such as background image, clothes image, accessories image, posture
Then feature etc. matches these characteristic points with multiple pictures storage corresponding picture of chained address set.
Step 104, if picture match success, the storage chained address of picture is stored in matched successful picture and is deposited
Store up chained address set.
If successful match, the matched successful picture storage chains of storage chained address deposit of the picture are grounded
Gather location.
Each picture storage chained address is gathered corresponding picture classification to show.It for example, will be in the picture library of smart mobile phone
All pictures classify by above-described embodiment, then shown in display interface.When carrying out file display, only need
It shows thumbnail, when full screen display, is just shown full-screen picture by the storage chained address of picture.It need not be to picture
Physical storage address redistributed, only the storage chained address of picture need to be divided into corresponding set, then according to
Set shows its picture included.It it should be noted that can also be according to the set after division by the physical storage address of picture
It redistributes.
Referring to Fig. 7, Fig. 7 is the 6th kind of flow diagram of picture classification method provided by the embodiments of the present application.This Shen
Please embodiment provide detection picture include figure information the step of before, further include following flow：
Step 301, the storage size of picture is detected.
Step 302, if the storage size of picture is less than default storage threshold value, by the storage chained address deposit of picture the
Three pictures storage chained address set.
The storage size of picture is first detected, if the storage size of the picture is less than default storage threshold value such as 50K, illustrates this
Picture is not that user's original meaning is wanted, and may be picture, expression figure that thumbnail, web browsing voluntarily install additional etc., by these figures
The storage chained address of piece is stored in the 3rd picture storage chained address set.Subsequent classification need not carry out these pictures
Classification reduces workload, improves classification effectiveness and accuracy.
Referring to Fig. 8, Fig. 8 is the 7th kind of flow diagram of picture classification method provided by the embodiments of the present application.This Shen
Please embodiment provide picture classification method further include following flow：
Step 401, when detecting that picture does not include figure information, the characteristic point of picture is extracted.
When detecting that picture does not include figure information, such as scenery picture, item pictures extract the characteristic point of the picture.
Step 402, the characteristic point of picture is matched with the characteristic point for the picture that prestores, the picture that prestores, which does not include the shadow, to be believed
Breath.
The picture that prestores is the picture of pre-existing electronic equipment, and the picture that prestores does not include figure information.By the feature of picture
Point is matched with the characteristic point for the picture that prestores, such as characteristic point can be high mountain, river, seashore, sandy beach, flower.Prestore picture
Multiple storage chained addresses set can be set according to the characteristic point that it includes.
Step 403, if picture match success, the storage chained address deposit of picture is included into depositing for the corresponding picture that prestores
Store up the picture storage chained address set of chained address.
After the characteristic point of picture and the success of the Feature Points Matching for the picture that prestores, the storage chained address deposit of picture is included
The picture storage chained address set of the storage chained address of the corresponding picture that prestores.
From the foregoing, it will be observed that picture classification method provided by the embodiments of the present application, detects that picture includes figure information by working as
When, identify the facial image of picture；If recognizing facial image, the storage chained address of picture is stored according to facial image
Corresponding picture storage chained address set；If unidentified to facial image, picture and multiple pictures are stored into chained address
Gather corresponding picture to be matched；If successful match, the storage chained address of picture is stored in matched successful figure
Piece storage chained address set.Picture is not packed together according still further to time or place, can by picture according to facial image into
Row effectively classification, makes user need not move through cumbersome lookup with regard to that can find all pictures all about someone.Picture is pressed
Facial image classification is succinct convenient, is easy to search, meets the use habit of user.
Referring to Fig. 9, Fig. 9 is the first structure diagram of picture classifier provided by the embodiments of the present application.Wherein
The picture classifier 500 is applied to electronic equipment, which includes detection identification module 501, first and handle
Module 502, picture match module 503 and Second processing module 504.Wherein：
Identification module 501 is detected, for when detecting that picture includes figure information, identifying the facial image of picture.
Picture can be the camera shooting photo obtained of electronic equipment or the photograph obtained by social software
Piece, picture etc. can also be the photo kept by web browsing or picture etc..
It detects whether the picture has figure information first, can specifically be gone to detect the figure according to human Facial Image Recognition Algorithm
Piece when the picture includes figure information, then removes to identify the facial image of the picture.It is mainly used for distinguishing whether the picture is people
Object picture.
If the storage chains of picture for recognizing facial image, are grounded by first processing module 502 according to facial image
Location is stored in corresponding picture storage chained address set.
Because the picture includes figure information, then the facial image of the picture is next identified, after recognizing facial image,
The storage chained address of picture is stored in corresponding picture storage chained address set further according to the facial image.
Multiple picture storage chained address set can be pre-set, each picture storage chained address collection is combined into same
The picture set of people.Then the facial image is matched with the facial image of the picture storage corresponding people of chained address set,
The storage chained address of the picture is then stored in picture storage chained address set by successful match.It is not by the storage of picture
Change in location is only that the storage chained address of picture is stored in a set.
Picture match module 503, if picture and multiple pictures are stored chained address to facial image for unidentified
Gather corresponding picture to be matched.
If unidentified to facial image, but the picture includes figure information, probably due to the reasons such as angle, light do not have
Recognize facial image.For example, because angular relationship, the face part of picture is less, and such as only a quarter, None- identified arrives
Complete facial image or because light relation, the light of picture face part is too light or too dark, and None- identified goes out people
Situations such as shake causes ghost image when the details of face image or shooting, can not be recognized accurately facial image.But these
Picture may be the photo that user's art shooting obtains or the photo that user likes.
It can be handled with picture by virtualization, facial image has carried out virtualization processing so that None- identified to the virtualization
Facial image.
If unidentified to after facial image, by picture picture progress corresponding with multiple pictures storage chained address set
Match somebody with somebody.The characteristic point of the unidentified picture to facial image can be such as extracted, such as background image, clothes image, accessories image, posture
Then feature etc. matches these characteristic points with multiple pictures storage corresponding picture of chained address set.
If the storage chained address of picture for successful match, is stored in matched success by Second processing module 504
Picture storage chained address set.
If successful match, the matched successful picture storage chains of storage chained address deposit of the picture are grounded
Gather location.
Each picture storage chained address is gathered corresponding picture classification to show.It for example, will be in the picture library of smart mobile phone
All pictures classify by above-described embodiment, then shown in display interface.When carrying out file display, only need
It shows thumbnail, when full screen display, is just shown full-screen picture by the storage chained address of picture.It need not be to picture
Physical storage address redistributed, only the storage chained address of picture need to be divided into corresponding set, then according to
Set shows its picture included.It it should be noted that can also be according to the set after division by the physical storage address of picture
It redistributes.
Referring to Fig. 10, Figure 10 is second of structure diagram of picture classifier provided by the embodiments of the present application.It should
In embodiment, first processing module 502 includes the first acquisition submodule 5021, at facial image matched sub-block 5022, first
Manage submodule 5023 and second processing submodule 5024.Wherein：
First acquisition submodule 5021, for obtaining the reference facial image of each picture storage chained address set.
Multiple picture storage chained address set can be pre-set, each picture storage chained address set includes more
A picture, all pictures that a picture is stored in the set of chained address all include the picture of a people, and a such as picture stores
All pictures all include the facial image of user A in the set of chained address.Gather corresponding figure in picture storage chained address
It is with reference to facial image that the high facial image of an identification is chosen in piece.This can also be replaced with reference to facial image.
The high facial image of identification can be the facial image not with any ornament, such as certificate photo, or
Daily life is shone, or the highest facial image of the frequency of occurrences in the set of picture storage chained address, the people such as to wear glasses
Face image etc..
Facial image matched sub-block 5022, for facial image is corresponding with multiple pictures storage chained address set
It is matched with reference to facial image.
The facial image of the picture facial image that refers to corresponding with picture storage chained address set is compared one by one
Matching when comparing successful match, then stops comparing matching process.
First processing submodule 5023, if for facial image successful match, the storage chained address of picture is stored in
Corresponding picture storage chained address set.
When face picture and the reference facial image successful match of one of picture storage chained address set, then should
The storage chained address of picture is stored in corresponding picture storage chained address set, i.e., successfully refers to face with the picture match
The picture storage chained address set of image.
If unsuccessful for facial image matching, the newly-built picture of picture deposit is deposited for second processing submodule 5024
Chained address set is stored up, facial image is set to the reference facial image of newly-built picture storage chained address set.
When facial image all matches with the reference facial image of all picture storage chained address set unsuccessful, then say
The bright facial image is new facial image, at this point, newly-built picture storage chained address set, by the storage chains of the picture
It is grounded the newly-built picture storage chained address set of location deposit.The facial image is set simultaneously for newly-built picture storage chains ground connection
The reference facial image of location set.After subsequently thering is new picture to be stored in the newly-built picture storage chained address set, then pass through
The facial image of multiple pictures is compared, it is with reference to facial image to choose the higher facial image of identification.It is linked when picture stores
After the corresponding picture number of address set reaches certain amount such as 20 pictures, there is no the deposit of new picture, just update refers to face
Image.After only new picture reaches certain amount such as 10, facial image is just more referred to.Or more than intervals such as 30
After it, having new picture deposit, just update refers to facial image.Or new picture reaches certain amount and more than certain time
Behind interval, just update is with reference to facial image.
Please refer to Fig.1 the third structure diagram that 1, Figure 11 is picture classifier provided by the embodiments of the present application.It should
In embodiment, first processing module 502 further includes default facial image acquisition submodule 5025, determines submodule with reference to facial image
Block 5026, the second acquisition submodule 5027 and the 3rd processing submodule 5028.Wherein：
Default facial image acquisition submodule 5025, for obtaining default facial image.
It is default facial image that one or more facial images, which can be set,.For example, the face that can set user A is pre-
If facial image.
With reference to facial image determination sub-module 5026, facial image is referred to for determining that default facial image is corresponding.
In each picture storage chained address set is corresponding with reference to facial image, determine and the default facial image
The reference facial image matched somebody with somebody.
Second acquisition submodule 5027, for obtaining with reference to the corresponding picture storage chained address set of facial image.
It obtains after referring to facial image, and then this can be obtained with reference to the corresponding picture storage chained address collection of facial image
It closes.
3rd processing submodule 5028, for picture storage chained address to be gathered corresponding picture storage to default storage
Space, and it is uploaded to high in the clouds backup.
Corresponding picture storage is gathered into default memory space in picture storage chained address, default face figure will be included
The picture of picture is all stored to a default memory space.For example, the photo of oneself is all unifiedly stored to a file by user A
In.And it also says that the picture in this document folder all uploads high in the clouds backup, ensures the security of the part picture.
In some embodiments, first processing module 502, being additionally operable to identification picture includes the quantity of facial image；If
Quantity is more than default amount threshold, then the storage chained address of picture is stored in the first picture storage chained address set；If number
Amount is less than or equal to default amount threshold, then the storage chained address of picture is stored in corresponding picture according to facial image stores
Gather chained address.
By Arithmetic of Face Image Recognition, the quantity of facial image is included in identification picture.If the quantity of facial image surpasses
Default amount threshold such as 5 is crossed, then it may be group picture to illustrate the picture, if the corresponding picture storage chains of each facial image
The storage chained address that address set all stores the picture is connect, then causes largely to repeat.If the quantity of facial image is small
In or equal to default amount threshold, then the storage chains of the picture are grounded by the facial image that can include the picture according to it
In multiple pictures storage chained address set of the corresponding multiple facial images of location deposit.
In some embodiments, first processing module 502, if being additionally operable to quantity is less than or equal to default amount threshold,
And quantity is more than or equal to 2, then obtains the storage priority level for each facial image that picture includes；If the storage of facial image is excellent
First grade is height, then the storage chained address of picture is stored in facial image to store chained address with reference to the picture of facial image
Set；If the storage priority level for each facial image that picture includes to be low, by the storage chained address deposit of picture the
Two pictures storage chained address set.
If the quantity of facial image is less than or equal to default amount threshold, and is the group photo of more people more than or equal to 2.Then
The storage priority level for each facial image that picture includes can first be obtained.The storage priority level of the facial image can be pre-
It first sets, can such as preset and set the storage priority level of the facial images of user A in itself that can also set user A's for height
The storage priority level of the facial image of household is height, such as the child of user A.When the storage priority scheduling of the facial image in picture
When grade is high, then the storage chained address of the picture is stored in the corresponding picture storage chained address set of the facial image.When
The storage priority level of face images in picture for it is low when, illustrate the people paid close attention to without special needs, then can be with
By picture deposit second picture storage chained address set.
Please refer to Fig.1 the 4th kind of structure diagram that 2, Figure 12 is picture classifier provided by the embodiments of the present application.It should
In embodiment, device further includes 505 and the 3rd processing module 506 of storage size detection module.Wherein：
Storage size detection module 505, for detecting the storage size of picture；
3rd processing module 506, if being less than default storage threshold value for the storage size of picture, by the storage chains of picture
It is grounded location and is stored in the 3rd picture storage chained address set.If the storage size of picture is more than default storage threshold value, detection should
Whether picture includes shadow information.
The storage size of picture is first detected, if the storage size of the picture is less than default storage threshold value such as 50K, illustrates this
Picture is not that user's original meaning is wanted, and may be picture, expression figure that thumbnail, web browsing voluntarily install additional etc., by these figures
The storage chained address of piece is stored in the 3rd picture storage chained address set.Subsequent classification need not carry out these pictures
Classification reduces workload, improves classification effectiveness and accuracy.
Please refer to Fig.1 the 5th kind of structure diagram that 3, Figure 13 is picture classifier provided by the embodiments of the present application.It should
In embodiment, device further includes feature point extraction module 507,508 and the 3rd processing module 509 of Feature Points Matching module.Wherein：
Feature point extraction module 507, for when detecting that picture does not include figure information, extracting the characteristic point of picture.
When detecting that picture does not include figure information, such as scenery picture, item pictures extract the characteristic point of the picture.
Feature Points Matching module 508, for the characteristic point of picture to be matched with the characteristic point for the picture that prestores, prestore figure
Piece does not include shadow information.
The picture that prestores is the picture of pre-existing electronic equipment, and the picture that prestores does not include figure information.By the feature of picture
Point is matched with the characteristic point for the picture that prestores, such as characteristic point can be high mountain, river, seashore, sandy beach, flower.Prestore picture
Multiple storage chained addresses set can be set according to the characteristic point that it includes.
If fourth processing module 509 for picture match success, the storage chained address deposit of picture is included corresponding to
Prestore picture storage chained address picture storage chained address set.
After the characteristic point of picture and the success of the Feature Points Matching for the picture that prestores, the storage chained address deposit of picture is included
The picture storage chained address set of the storage chained address of the corresponding picture that prestores.
From the foregoing, it will be observed that picture classifier provided by the embodiments of the present application, detects that picture includes figure information by working as
When, identify the facial image of picture；If recognizing facial image, the storage chained address of picture is stored according to facial image
Corresponding picture storage chained address set；If unidentified to facial image, picture and multiple pictures are stored into chained address
Gather corresponding picture to be matched；If successful match, the storage chained address of picture is stored in matched successful figure
Piece storage chained address set.Picture is not packed together according still further to time or place, can by picture according to facial image into
Row effectively classification, makes user need not move through cumbersome lookup with regard to that can find all pictures all about someone.Picture is pressed
Facial image classification is succinct convenient, is easy to search, meets the use habit of user.
It when it is implemented, Yi Shang modules can be independent entity to realize, can also be combined, be made
It is realized for same or several entities, the specific implementation of more than modules can be found in the embodiment of the method for front, herein not
It repeats again.
In the embodiment of the present application, picture classifier belongs to same design with the picture classification method in foregoing embodiments,
The either method provided in picture classification method embodiment can be run in picture classifier, specific implementation process refers to
The embodiment of picture classification method, details are not described herein again.
The embodiment of the present application also provides a kind of electronic equipment.Please refer to Fig.1 4, electronic equipment 600 include processor 601 with
And memory 602.Wherein, processor 601 is electrically connected with memory 602.
Processor 600 is the control centre of electronic equipment 600, utilizes various interfaces and the entire electronic equipment of connection
Various pieces computer program in memory 602 and are called by operation or load store and are stored in memory 602
Interior data perform the various functions of electronic equipment 600 and handle data, so as to carry out integral monitoring to electronic equipment 600.
Memory 602 can be used for storage software program and unit, and processor 601 is stored in memory 602 by operation
Computer program and unit, so as to perform various functions application and data processing.Memory 602 can mainly include storage
Program area and storage data field, wherein, storing program area can storage program area, the computer program needed at least one function
(such as sound-playing function, image player function etc.) etc.；Storage data field can be stored to be created according to using for electronic equipment
Data etc..In addition, memory 602 can include high-speed random access memory, nonvolatile memory, example can also be included
Such as at least one disk memory, flush memory device or other volatile solid-state parts.Correspondingly, memory 602 may be used also
To include Memory Controller, to provide access of the processor 601 to memory 602.
In the embodiment of the present application, the processor 601 in electronic equipment 600 can be according to the steps, by one or one
The corresponding instruction of process of a above computer program is loaded into memory 602, and is stored in by the operation of processor 601
Computer program in reservoir 602, it is as follows so as to fulfill various functions：
When detecting that picture includes figure information, the facial image of picture is identified；
If recognizing facial image, the storage chained address of picture is stored in by corresponding picture according to facial image and is stored
Gather chained address；
If unidentified to facial image, by picture picture progress corresponding with multiple pictures storage chained address set
Match somebody with somebody；
If successful match, the matched successful picture of storage chained address deposit of picture is stored into chained address collection
It closes.
In some embodiments, processor 601 is additionally operable to perform following steps：
Obtain the reference facial image of each picture storage chained address set；
Facial image is corresponding with multiple pictures storage chained address set with reference to facial image matching；
If facial image successful match, the storage chained address of picture is stored in corresponding picture and stores chained address collection
It closes；
If facial image matching is unsuccessful, by the picture storage chained address set that picture deposit is newly-built, facial image
It is set to the reference facial image of newly-built picture storage chained address set.
In some embodiments, processor 601 is additionally operable to perform following steps：
Obtain default facial image；
It determines that default facial image is corresponding and refers to facial image；
It obtains with reference to the corresponding picture storage chained address set of facial image；
Corresponding picture storage is gathered into default memory space in picture storage chained address, and is uploaded to high in the clouds backup.
Processor 601 is additionally operable to perform following steps：
Identification picture includes the quantity of facial image；
If quantity is more than default amount threshold, the storage chained address of picture is stored in the first picture storage chained address
Set；
If quantity is less than or equal to default amount threshold, according to facial image by the storage chained address deposit pair of picture
The picture storage chained address set answered.
In some embodiments, processor 601 is additionally operable to perform following steps：
If quantity is less than or equal to default amount threshold, and quantity is more than or equal to 2, then obtains each face that picture includes
The storage priority level of image；
It is reference by the storage chained address deposit facial image of picture if the storage priority level of facial image is height
The picture storage chained address set of facial image；
If the storage priority level for each facial image that picture includes is low, the storage chained address of picture is stored in
Second picture storage chained address set.
In some embodiments, processor 601 is additionally operable to perform following steps：
Detect the storage size of picture；
If the storage size of picture is less than default storage threshold value, the storage chained address of picture is stored in the 3rd picture deposits
Store up chained address set.
In some embodiments, processor 601 is additionally operable to perform following steps：
When detecting that picture does not include figure information, the characteristic point of picture is extracted；
The characteristic point of picture is matched with the characteristic point for the picture that prestores, the picture that prestores does not include shadow information；
If successful match, the storage chained address that the storage address of picture is stored in the corresponding picture that prestores is gathered.
It can be seen from the above, electronic equipment provided by the embodiments of the present application, by when detecting that picture includes figure information,
Identify the facial image of picture；If recognizing facial image, according to facial image by the deposit pair of the storage chained address of picture
The picture storage chained address set answered；If unidentified to facial image, picture and multiple pictures are stored into chained address collection
Corresponding picture is closed to be matched；If successful match, the storage chained address of picture is stored in matched successful picture
Store chained address set.Picture is not packed together according still further to time or place, can carry out picture according to facial image
Effectively classification, makes user need not move through cumbersome lookup with regard to that can find all pictures all about someone.Picture presses people
Face image classification is succinct convenient, is easy to search, meets the use habit of user.
Also referring to Figure 15, in some embodiments, electronic equipment 600 can also include：Display 603, radio frequency
Circuit 604, voicefrequency circuit 605 and power supply 606.Wherein, wherein, display 603, radio circuit 604, voicefrequency circuit 605 with
And power supply 606 is electrically connected respectively with processor 601.
Display 603 is displayed for by information input by user or is supplied to the information of user and various figures to use
Family interface, these graphical user interface can be made of figure, text, icon, video and its any combination.Display 603
Can include display panel, in some embodiments, may be employed liquid crystal display (Liquid Crystal Display,
LCD) or the forms such as Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED) configure display surface
Plate.
Radio circuit 604 can be used for transceiving radio frequency signal, to be set by wireless communication and the network equipment or other electronics
It is standby to establish wireless telecommunications, the receiving and transmitting signal between the network equipment or other electronic equipments.
Voicefrequency circuit 605 can be used for providing the audio interface between user and electronic equipment by loud speaker, microphone.
Power supply 606 is used to all parts power supply of electronic equipment 600.In some embodiments, power supply 606 can
With logically contiguous by power-supply management system and processor 601, thus charged, discharged by power-supply management system realization management,
And the functions such as power managed.
Although not shown in Figure 15, electronic equipment 600 can also include camera, bluetooth unit etc., and details are not described herein.
It is understood that the electronic equipment of the embodiment of the present application can be the end of smart mobile phone or tablet computer etc.
End equipment.
The embodiment of the present application also provides a kind of storage medium, and storage medium is stored with computer program, works as computer program
When running on computers so that computer performs the picture classification method in any of the above-described embodiment, such as：By when detection
When including figure information to picture, the facial image of picture is identified；If recognizing facial image, according to facial image by picture
Storage chained address be stored in corresponding picture storage chained address set；If unidentified to facial image, by picture with it is more
Gather corresponding picture and matched in a picture storage chained address；If successful match, the storage chained address of picture is deposited
Enter matched successful picture storage chained address set.
In the embodiment of the present application, storage medium can be magnetic disc, CD, read-only memory (Read Only Memory,
) or random access memory (Random Access Memory, RAM) etc. ROM.
In the above-described embodiments, all emphasize particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
It should be noted that for the picture classification method of the embodiment of the present application, this field common test personnel can be with
Understand all or part of flow for realizing the embodiment of the present application picture classification method, be that can phase be controlled by computer program
The hardware of pass is completed, and computer program can be stored in a computer read/write memory medium, as being stored in electronic equipment
It in memory, and is performed by least one processor in the electronic equipment, may include such as picture classification side in the process of implementation
The flow of the embodiment of method.Wherein, storage medium can be magnetic disc, CD, read-only memory, random access memory etc..
For the picture classifier of the embodiment of the present application, each functional unit can be integrated in a processing chip
In or unit be individually physically present, can also two or more units integrate in a unit.It is above-mentioned
The form that hardware had both may be employed in integrated unit is realized, can also be realized in the form of SFU software functional unit.Integrated list
If member is realized in the form of SFU software functional unit and is independent production marketing or is counted in use, one can also be stored in
In calculation machine read/write memory medium, storage medium is for example read-only memory, disk or CD etc..
Above to a kind of picture classification method, device, storage medium and the electronic equipment that the embodiment of the present application is provided into
It has gone and has been discussed in detail, the principle and implementation of this application are described for specific case used herein, implements above
The explanation of example is only intended to help to understand the present processes and its core concept；Meanwhile for those skilled in the art, according to
According to the thought of the application, there will be changes in specific embodiments and applications, in conclusion this specification content
It should not be construed as the limitation to the application.
Claims (12)
1. a kind of picture classification method, applied to electronic equipment, which is characterized in that the described method includes：
When detecting that picture includes figure information, the facial image of the picture is identified；
If recognizing facial image, the storage chained address of the picture is stored in by corresponding picture according to the facial image
Store chained address set；
If unidentified to facial image, by picture picture progress corresponding with multiple pictures storage chained address set
Match somebody with somebody；
If successful match, the matched successful picture of storage chained address deposit of the picture is stored into chained address collection
It closes.
2. picture classification method according to claim 1, which is characterized in that it is described according to the facial image by the figure
The storage chained address of piece is stored in the step of corresponding picture storage chained address set, including：
Obtain the reference facial image of each picture storage chained address set；
The facial image is corresponding with multiple pictures storage chained address set with reference to facial image matching；
If the facial image successful match, the storage chained address of the picture is stored in corresponding picture storage chains and is grounded
Gather location；
It is described by the picture storage chained address set that picture deposit is newly-built if the facial image matching is unsuccessful
Facial image is set to the reference facial image of newly-built picture storage chained address set.
3. picture classification method according to claim 2, which is characterized in that further include：
Obtain default facial image；
Determine that the default facial image is corresponding with reference to facial image；
It obtains described with reference to the corresponding picture storage chained address set of facial image；
Corresponding picture storage is gathered into default memory space in picture storage chained address, and is uploaded to high in the clouds backup.
4. picture classification method according to claim 1, which is characterized in that it is described according to the facial image by the figure
The storage chained address of piece is stored in the step of corresponding picture storage chained address set, including：
Identify that the picture includes the quantity of facial image；
If the quantity is more than default amount threshold, the storage chained address of the picture is stored in the storage link of the first picture
Address set；
If the quantity is less than or equal to the default amount threshold, according to the facial image by the storage chains of the picture
It is grounded location and is stored in corresponding picture storage chained address set.
5. picture classification method according to claim 4, which is characterized in that if the quantity is less than or equal to described preset
The storage chained address of the picture is then stored in corresponding picture according to the facial image and stores chained address by amount threshold
The step of set, including：
If the quantity is less than or equal to the default amount threshold, and the quantity is more than or equal to 2, then obtains the picture bag
The storage priority level of each facial image included；
If the storage priority level of the facial image is height, the storage chained address of the picture is stored in the face figure
As being the picture storage chained address set with reference to facial image；
If the storage priority level for each facial image that the picture includes is low, by the storage chained address of the picture
It is stored in second picture storage chained address set.
6. picture classification method according to claim 1, which is characterized in that detection picture include figure information the step of it
Before, including：
Detect the storage size of picture；
If the storage size of the picture is less than default storage threshold value, the storage chained address of the picture is stored in the 3rd figure
Piece storage chained address set.
7. picture classification method according to claim 1, which is characterized in that further include：
When detecting that picture does not include figure information, the characteristic point of the picture is extracted；
The characteristic point of the picture is matched with the characteristic point for the picture that prestores, the picture that prestores does not include shadow information；
If picture match success, the storage chains that the storage chained address deposit of the picture is included to the corresponding picture that prestores are grounded
The picture storage chained address set of location.
8. a kind of picture classifier, applied to electronic equipment, which is characterized in that described device includes：
Identification module is detected, for when detecting that picture includes figure information, identifying the facial image of the picture；
If first processing module for recognizing facial image, links the storage of the picture according to the facial image
Address is stored in corresponding picture storage chained address set；
Picture match module, if the picture and multiple pictures are stored chained address collection to facial image for unidentified
Corresponding picture is closed to be matched；
Second processing module, if for successful match, the storage chained address deposit of the picture is matched successfully
Picture storage chained address set.
9. picture classifier according to claim 8, which is characterized in that the first processing module includes：
First acquisition submodule, for obtaining the reference facial image of each picture storage chained address set；
Facial image matched sub-block, for the facial image to be stored the corresponding reference of chained address set with multiple pictures
Facial image matches；
First processing submodule, if for the facial image successful match, the storage chained address of the picture is stored in
Corresponding picture storage chained address set；
If unsuccessful for facial image matching, the newly-built picture of picture deposit is deposited for second processing submodule
Chained address set is stored up, the facial image is set to the reference facial image of newly-built picture storage chained address set.
10. picture classifier according to claim 8, which is characterized in that the first processing module further includes：
Default facial image acquisition submodule, for obtaining default facial image；
With reference to facial image determination sub-module, for determining that the default facial image is corresponding with reference to facial image；
Second acquisition submodule, it is described with reference to the corresponding picture storage chained address set of facial image for obtaining；
3rd processing submodule, it is empty to default storage for picture storage chained address to be gathered corresponding picture storage
Between, and it is uploaded to high in the clouds backup.
11. a kind of storage medium, is stored thereon with computer program, which is characterized in that when the computer program is in computer
During upper operation so that the computer performs picture classification method as described in any one of claim 1 to 7.
12. a kind of electronic equipment, including processor and memory, the memory has computer program, which is characterized in that described
Processor is by calling the computer program, for performing picture classification method as described in any one of claim 1 to 7.
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