CN105630915A - Method and device for classifying and storing pictures in mobile terminals - Google Patents
Method and device for classifying and storing pictures in mobile terminals Download PDFInfo
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- CN105630915A CN105630915A CN201510969845.6A CN201510969845A CN105630915A CN 105630915 A CN105630915 A CN 105630915A CN 201510969845 A CN201510969845 A CN 201510969845A CN 105630915 A CN105630915 A CN 105630915A
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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
- G06F16/51—Indexing; Data structures therefor; Storage structures
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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
The invention relates to a method and device for classifying and storing pictures in mobile terminals. The method comprises the following steps: extracting features of pictures shot by a user; comparing the features with existing features in a picture library to carry out classification; after the classification, automatically storing the pictures of the same classes and the corresponding features under corresponding paths; and when the user opens the picture library to check or skips from other application programs to a picture selection interface, displaying the pictures according to the classified condition. According to the method and device, the problem that a large number of pictures in mobile terminals are disordered during the storage is overcome, and the problem that the users need to browse the whole picture library from the beginning during the picture check and selection, so that the pictures of the users can be stored and displayed more clearly, and the users can conveniently and rapidly check the pictures of different classes. The method is free of manual operation, simple and reliable, so that the problem that the user operation is inconvenient is solved, the time is saved, humanized using experience is brought to the users and the operation is flexible and convenient.
Description
Technical field
The present invention relates to the method for picture classification storage in a kind of mobile terminal and device, belong to picture Processing Technique field.
Background technology
Further development along with embedded mobile terminal, the ability of taking pictures of the terminal such as smart mobile phone, panel computer further enhances, almost it is fully able to the demand meeting current entry and simple photography, simultaneously, along with social universal of mobile Internet, utilize mobile terminal to take pictures, record moment at any time, be sent to friend, share the Social behaviors such as cyberspace and developed into one way of life custom. But, picture in current mobile terminal all carries out order display with shooting time for axis, accumulation along with picture number, when user checks former picture or selects specific Target Photo, generally require and constantly drop-down in picture library for a long time find, the great inconvenience of cause the user. The method that this all pictures are all arranged in order according to shooting sequencing has significant limitation, and user can only all check, it is impossible to just looks at the picture oneself wanting to look for or want seeing, a lot of time must be wasted, and operate inconvenience, the very flexible of use, reduce Consumer's Experience.
Chinese patent literature CN104376019A discloses a kind of picture storage method and device, and the method includes: produce corresponding to enter library file for the file of each special topic; By described enter library file be respectively stored into Name Documents folder neutralize entity file folder in; Picture in being pressed from both sides by each schematic file stores in pressing from both sides to described entity file; Described Name Documents folder and entity file folder are performed to import the operation of picture database. But, there is following defect in this patent: this patent, just for the newspaper history picture of different special topics, has significant limitation, is not particularly suited for the mobile terminal of personal user.
Chinese patent literature CN105069176A discloses a kind of image processing method, device and server, and this image processing method includes: the catalogue that the picture to be sorted that obtains that terminal sends is corresponding; According to the corresponding relation between catalogue and application program, it is determined that the application program identification collection undetermined that the catalogue corresponding with described picture to be sorted is corresponding, described application program identification collection undetermined includes at least one alternative application program identification; Concentrate from described application program identification undetermined and determine that destination application identifies; The incidence relation of described picture to be sorted and described destination application mark is sent to described terminal. But, there is following defect in this patent: this patent application program of being more convenient for obtains picture, and the convenience of user operation is not promoted, and various application program also can cause picture to store excessively scattered problem, increases the difficulty of user operation on the contrary.
Summary of the invention
For the deficiencies in the prior art, the invention provides a kind of method of picture classification storage in mobile terminal.
Present invention also offers the device realizing said method;
The present invention is applicable to the embedded intelligence mobile terminal with camera function, instant invention overcomes problem unordered in a jumble during a large amount of pictures storage in mobile terminal, solve user and check and select to need during picture from the beginning to browse the problem of whole picture library, the picture orderliness more that can make user clearly stores and shows, facilitates user quickly to check different classes of picture.
Terminological interpretation
1, the feature extracting and matching method of picture shape facility: boundary characteristic method, Fourier's shape description symbols method, geometry parameter method, shape invariance moments method.
2, the feature extracting and matching method of picture textural characteristics: statistical method, geometric method, modelling, signal processing method.
The technical scheme is that
A kind of method of picture classification storage in mobile terminal, concrete steps include:
A, every pictures that described mobile terminal is shot perform step (1), step (2) successively:
(1) picture feature is extracted: extracting the key feature information of the picture of described mobile terminal shooting, described key feature information includes picture gray value, color histogram, shape facility and textural characteristics;
(2) picture classification is carried out, if picture library does not have picture, the key feature information of the picture of the described mobile terminal shooting then obtained according to step (1), the picture of the described mobile terminal that step (1) is obtained shooting is classified; If picture library has picture, the key feature information of the picture of the described mobile terminal shooting then obtained according to step (1), compare with the key feature information of in picture library each category images, it is ranked up according to similarity, if, when maximum similarity is more than or equal to certain threshold value, the picture of described mobile terminal shooting step (1) obtained is included into the classification belonging to the picture that similarity is maximum, otherwise, the picture of described mobile terminal shooting step (1) obtained reclassifies;
B, picture to each class store
After determining the classification of picture, judge whether have same category of file under the store path of picture library, if had, then directly being stored under corresponding folder by key feature information corresponding to picture and this picture, under same category of file, plurality of pictures arranges according to the time order and function of shooting; If it is not, establishment file, file is named and stores.
The advantage herein designed is in that, when directly opening picture library or jump to the interface of browsing pictures from other application programs, will not from the beginning show all pictures again, but display according to storage condition is sub-category, directly display each sub-folder title and first preview picture.
According to currently preferred, described step (1), concrete steps include:
A, the portrait feature extracted in picture, if without portrait feature, enter step b; If containing portrait feature, then enter step c;
B, picture carrying out pretreatment, described pretreatment includes: picture is scaled unified size dimension, extracts the pixel of uniform amount on picture; And extract the key feature information of pretreated picture, and picture key feature information is generated corresponding feature identification vector, for instance, the string of binary characters of 64;
C, first, carries out cutting according to Face datection result to picture, ignores picture background, only retains the face information of key position; Then, the picture after cutting carrying out pretreatment, described pretreatment includes: picture is scaled unified size dimension, extracts the pixel of uniform amount on picture; Again, utilize face characteristic recognizer, extract the facial key feature points of face in picture, including: eye, nose, the position of mouth, size, ratio, finally, face key feature points is generated corresponding feature identification vector.
According to currently preferred, if picture library does not have picture, the key feature information of the picture of the described mobile terminal shooting then obtained according to step (1), the picture of the described mobile terminal that step (1) is obtained shooting is classified, and concrete steps include:
Whether the picture of the described mobile terminal shooting that 1. detecting step (1) obtains contains portrait feature, if without, then picture is classified as scenery classification, if containing portrait feature, then enters step 2.;
2. determining whether it is single portrait or multiple portrait, if being multiple portrait, then picture being classified as group photo classification, if being single portrait, then picture being classified as single portrait classification.
According to currently preferred, if picture library has picture, the key feature information of the picture of the described mobile terminal shooting then obtained according to step (1), compare with the key feature information of in picture library each category images, it is ranked up according to similarity, if, when maximum similarity is more than or equal to certain threshold value, the picture of described mobile terminal shooting step (1) obtained is included into the classification belonging to the picture that similarity is maximum, otherwise, the picture of the described mobile terminal shooting that step (1) is obtained reclassifies and is stored in picture library, concrete steps include:
3. for the picture containing portrait feature, it is judged that the quantity of portrait in picture, if greater than 1, being then classified as group photo classification, if being only 1, entering step 4.; For not containing the picture of character features, it is classified to scenery classification, enters step 5.;
4. this picture character pair identification vector and each the distance value that the identification of category images character pair is vectorial in picture library are asked for successively, choose wherein minimum distance value, if described minimum distance value is not more than 10, then it is judged as same category of personage's picture, otherwise, then different classes of personage's picture it is judged as; Such as, for the feature identification vector of 64, if described minimum distance value is not more than 10, then it is judged as same category of personage's picture, otherwise, is then judged as different classes of personage's picture.
5. this picture character pair identification vector and each the distance value that the identification of category images character pair is vectorial in picture library are asked for successively, choose wherein minimum distance value, if described minimum distance value is not more than 10, then it is judged as same category of scenery picture, otherwise, then different classes of scenery picture it is judged as.
According to currently preferred, to the naming method of file it is: described file is named by acquiescence, for instance, personage 1, personage 2 etc., or the title of file described in User Defined.
According to currently preferred, described mobile terminal is smart mobile phone or panel computer.
A kind of device of the method realizing the storage of picture classification in above-mentioned mobile terminal, including the picture feature extraction module being sequentially connected with, picture classification discriminating module, picture storage module and picture display module, described picture feature extraction module is used for realizing described step (1), described picture classification discriminating module is used for realizing described step (2), and described picture storage module is used for realizing described step B.
The invention have the benefit that
1, instant invention overcomes problem unordered in a jumble during a large amount of pictures storage in mobile terminal, solve user and check and select to need during picture from the beginning to browse the problem of whole picture library, the picture orderliness more that can make user clearly stores and shows, facilitates user quickly to check different classes of picture.
2, this method selects without manual operation, simple and reliable, solves the problem of user operation inconvenience and saves the time, bringing the experience of hommization to user, flexibly and easily.
Accompanying drawing explanation
Fig. 1 is the FB(flow block) of the method for the invention;
Fig. 2 is the detail flowchart of the method for the invention;
Fig. 3 is the structured flowchart of the device realizing the method for the invention.
Detailed description of the invention
Below in conjunction with embodiment and Figure of description, the present invention will be further described, but is not limited to this.
Embodiment 1
A kind of method of picture classification storage in mobile terminal, concrete steps include:
A, every pictures that described mobile terminal is shot perform step (1), step (2) successively
(1) picture feature is extracted: extracting the key feature information of the picture of described mobile terminal shooting, described key feature information includes picture gray value, color histogram, shape facility and textural characteristics;
(2) picture classification is carried out, if picture library does not have picture, the key feature information of the picture of the described mobile terminal shooting then obtained according to step (1), the picture of the described mobile terminal that step (1) is obtained shooting is classified; If picture library has picture, the key feature information of the picture of the described mobile terminal shooting then obtained according to step (1), compare with the key feature information of in picture library each category images, it is ranked up according to similarity, if, when maximum similarity is more than or equal to certain threshold value, the picture of described mobile terminal shooting step (1) obtained is included into the classification belonging to the picture that similarity is maximum, otherwise, the picture of described mobile terminal shooting step (1) obtained reclassifies;
B, picture to each class store
After determining the classification of picture, judge whether have same category of file under the store path of picture library, if had, then directly being stored under corresponding folder by key feature information corresponding to picture and this picture, under same category of file, plurality of pictures arranges according to the time order and function of shooting; If it is not, establishment file, file is named and stores.
The advantage herein designed is in that, when directly opening picture library or jump to the interface of browsing pictures from other application programs, will not from the beginning show all pictures again, but display according to storage condition is sub-category, directly display each sub-folder title and first preview picture. As shown in Figure 1.
Embodiment 2
The method of picture classification storage in a kind of mobile terminal according to embodiment 1, it is distinctive in that,
Described step (1), concrete steps include:
A, the portrait feature extracted in picture, if without portrait feature, enter step b; If containing portrait feature, then enter step c;
B, picture carrying out pretreatment, described pretreatment includes: picture is scaled unified size dimension, extracts the pixel of uniform amount on picture; And extract the key feature information of pretreated picture, picture key feature information is generated the string of binary characters of corresponding 64;
C, first, carries out cutting according to Face datection result to picture, ignores picture background, only retains the face information of key position; Then, the picture after cutting carrying out pretreatment, described pretreatment includes: picture is scaled unified size dimension, extracts the pixel of uniform amount on picture; Again, utilize face characteristic recognizer, extract the facial key feature points of face in picture, including: eye, nose, the position of mouth, size, ratio, finally, face key feature points is generated the string of binary characters of corresponding 64;
If picture library does not have picture, then the key feature information of the picture of the described mobile terminal shooting obtained according to step (1), the picture of the described mobile terminal that step (1) is obtained shooting is classified, and concrete steps include:
Whether the picture of the described mobile terminal shooting that 1. detecting step (1) obtains contains portrait feature, if without, then picture is classified as scenery classification, if containing portrait feature, then enters step 2.;
2. determining whether it is single portrait or multiple portrait, if being multiple portrait, then picture being classified as group photo classification, if being single portrait, then picture being classified as single portrait classification.
If picture library has picture, the key feature information of the picture of the described mobile terminal shooting then obtained according to step (1), compare with the key feature information of in picture library each category images, it is ranked up according to similarity, if, when maximum similarity is more than or equal to certain threshold value, the picture of described mobile terminal shooting step (1) obtained is included into the classification belonging to the picture that similarity is maximum, otherwise, the picture of the described mobile terminal shooting that step (1) is obtained reclassifies and is stored in picture library, and concrete steps include:
3. for the picture containing portrait feature, it is judged that the quantity of portrait in picture, if greater than 1, being then classified as group photo classification, if being only 1, entering step 4.; For not containing the picture of character features, it is classified to scenery classification, enters step 5.;
4. this picture character pair identification vector and each the distance value that the identification of category images character pair is vectorial in picture library are asked for successively, choose wherein minimum distance value, if described minimum distance value is not more than 10, then it is judged as same category of personage's picture, otherwise, then different classes of personage's picture it is judged as.
5. this picture character pair identification vector and each the distance value that the identification of category images character pair is vectorial in picture library are asked for successively, choose wherein minimum distance value, if described minimum distance value is not more than 10, then it is judged as same category of scenery picture, otherwise, then different classes of scenery picture it is judged as.
To the naming method of file it is: described file is named by acquiescence, for instance, personage 1, personage 2 etc., or the title of file described in User Defined.
Described mobile terminal is smart mobile phone or panel computer. As shown in Figure 2.
Embodiment 3
The device of the method for picture classification storage in a kind of mobile terminal realized described in embodiment 1 or 2, including the picture feature extraction module being sequentially connected with, picture classification discriminating module, picture storage module and picture display module, described picture feature extraction module is used for realizing described step (1), described picture classification discriminating module is used for realizing described step (2), and described picture storage module is used for realizing described step B.
Claims (7)
1. the method for picture classification storage in a mobile terminal, it is characterised in that concrete steps include:
A, every pictures that described mobile terminal is shot perform step (1), step (2) successively
(1) picture feature is extracted: extracting the key feature information of the picture of described mobile terminal shooting, described key feature information includes picture gray value, color histogram, shape facility and textural characteristics;
(2) picture classification is carried out, if picture library does not have picture, the key feature information of the picture of the described mobile terminal shooting then obtained according to step (1), the picture of the described mobile terminal that step (1) is obtained shooting is classified; If picture library has picture, the key feature information of the picture of the described mobile terminal shooting then obtained according to step (1), compare with the key feature information of in picture library each category images, it is ranked up according to similarity, if, when maximum similarity is more than or equal to certain threshold value, the picture of described mobile terminal shooting step (1) obtained is included into the classification belonging to the picture that similarity is maximum, otherwise, the picture of described mobile terminal shooting step (1) obtained reclassifies;
B, picture to each class store
After determining the classification of picture, judge whether have same category of file under the store path of picture library, if had, then directly being stored under corresponding folder by key feature information corresponding to picture and this picture, under same category of file, plurality of pictures arranges according to the time order and function of shooting; If it is not, establishment file, file is named and stores.
2. the method for picture classification storage in a kind of mobile terminal according to claim 1, it is characterised in that described step (1), concrete steps include:
A, the portrait feature extracted in picture, if without portrait feature, enter step b; If containing portrait feature, then enter step c;
B, picture carrying out pretreatment, described pretreatment includes: picture is scaled unified size dimension, extracts the pixel of uniform amount on picture; And extract the key feature information of pretreated picture, picture key feature information is generated corresponding feature identification vector;
C, first, carries out cutting according to Face datection result to picture, ignores picture background, only retains the face information of key position; Then, the picture after cutting carrying out pretreatment, described pretreatment includes: picture is scaled unified size dimension, extracts the pixel of uniform amount on picture; Again, utilize face characteristic recognizer, extract the facial key feature points of face in picture, including: eye, nose, the position of mouth, size, ratio, finally, face key feature points is generated corresponding feature identification vector.
3. the method for picture classification storage in a kind of mobile terminal according to claim 2, it is characterized in that, if picture library does not have picture, the key feature information of the picture of the described mobile terminal shooting then obtained according to step (1), the picture of the described mobile terminal shooting that step (1) is obtained is classified, and concrete steps include:
Whether the picture of the described mobile terminal shooting that 1. detecting step (1) obtains contains portrait feature, if without, then picture is classified as scenery classification, if containing portrait feature, then enters step 2.;
2. determining whether it is single portrait or multiple portrait, if being multiple portrait, then picture being classified as group photo classification, if being single portrait, then picture being classified as single portrait classification.
4. the method for picture classification storage in a kind of mobile terminal according to claim 2, it is characterized in that, if picture library has picture, the key feature information of the picture of the described mobile terminal shooting then obtained according to step (1), compare with the key feature information of in picture library each category images, it is ranked up according to similarity, if, when maximum similarity is more than or equal to certain threshold value, the picture of described mobile terminal shooting step (1) obtained is included into the classification belonging to the picture that similarity is maximum, otherwise, the picture of the described mobile terminal shooting that step (1) is obtained reclassifies and is stored in picture library, concrete steps include:
3. for the picture containing portrait feature, it is judged that the quantity of portrait in picture, if greater than 1, being then classified as group photo classification, if being only 1, entering step 4.; For not containing the picture of character features, it is classified to scenery classification, enters step 5.;
4. this picture character pair identification vector and each the distance value that the identification of category images character pair is vectorial in picture library are asked for successively, choose wherein minimum distance value, if described minimum distance value is not more than 10, then it is judged as same category of personage's picture, otherwise, then different classes of personage's picture it is judged as;
5. this picture character pair identification vector and each the distance value that the identification of category images character pair is vectorial in picture library are asked for successively, choose wherein minimum distance value, if described minimum distance value is not more than 10, then it is judged as same category of scenery picture, otherwise, then different classes of scenery picture it is judged as.
5. the method for picture classification storage in a kind of mobile terminal according to claim 1, it is characterised in that to the naming method of file be: described file is named by acquiescence, or the title of file described in User Defined.
6. the method for picture classification storage in a kind of mobile terminal according to claim 1, it is characterised in that described mobile terminal is smart mobile phone or panel computer.
7. one kind realizes the device of the method for picture classification storage in the arbitrary described a kind of mobile terminal of claim 1-6, it is characterized in that, including the picture feature extraction module being sequentially connected with, picture classification discriminating module, picture storage module and picture display module, described picture feature extraction module is used for realizing described step (1), described picture classification discriminating module is used for realizing described step (2), and described picture storage module is used for realizing described step B.
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