CN103034714A - Mobile terminal, picture sorting management method and picture sorting management device of mobile terminal - Google Patents
Mobile terminal, picture sorting management method and picture sorting management device of mobile terminal Download PDFInfo
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- CN103034714A CN103034714A CN2012105339357A CN201210533935A CN103034714A CN 103034714 A CN103034714 A CN 103034714A CN 2012105339357 A CN2012105339357 A CN 2012105339357A CN 201210533935 A CN201210533935 A CN 201210533935A CN 103034714 A CN103034714 A CN 103034714A
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Abstract
The invention provides a mobile terminal, and a picture sorting management method and a picture sorting management device of the mobile terminal. The management method comprises the following steps: the mobile terminal obtains a plurality of stored pictures, then carries out human face detection on each picture, and adds the picture with at least one human face image into a portrait picture collection if the mobile terminal detects that the picture contains at least one human face image. By use of the embodiments of the invention, portrait pictures can be sorted from pictures of other types through human face identification so as to be conveniently viewed by users and the users can easily and quickly view the desired pictures among a large quantity of pictures, so that the user experience is improved.
Description
Technical field
The present invention relates to mobile device manufacturing technology field, relate in particular to a kind of photo classification management method, device and portable terminal of portable terminal.
Background technology
Fast development along with the portable terminal technology, storage space on the portable terminal is increasing, the user can be with a large amount of portrait photos, picture with scenes, picture, map, certificate photo and the Word message after taking pictures be stored on the portable terminal, and browse anywhere or anytime and use.
At present, the user checks picture by the picture library of portable terminal, and picture library is mainly classified to the picture on the portable terminal by the storage time of picture, the position at picture place and the file at picture place etc. when classification.
The problem that exists at present is, when the user checks picture by the picture library of portable terminal, in the face of a large amount of pictures, because sorting technique is too general, the user can't find fast and oneself want the picture checked, wherein, and according to chronological classification, the user probably forgets picture and when stores poor user experience after a period of time; According to the classification of the news at picture place, be rough dividing according to the memory location, such as SD card or mobile phone EMS memory etc., too simple for a large amount of pictures that the user stores in portable terminal, the user is checked that picture does not have help, poor user experience; According to the document classification at picture place, need the user in advance picture to be carried out classification, increased a large amount of manual operation of user, poor user experience.
Summary of the invention
The present invention is intended to one of solve the problems of the technologies described above at least.
For this reason, first purpose of the present invention is to propose a kind of photo classification management method of portable terminal, the method identifies that by the facial image in the recognition of face comparison film portrait photo in the photo is sorted out, the user is found easily want the portrait photo of checking in a large amount of photos, promote user's experience.
Second purpose of the present invention is to propose a kind of photo classification management devices of portable terminal.
The 3rd purpose of the present invention is to propose a kind of portable terminal.
To achieve these goals, the photo classification management method of the portable terminal of first aspect present invention embodiment may further comprise the steps: a plurality of photos that acquisition for mobile terminal is stored; Described portable terminal carries out respectively people's face to each photo in described a plurality of photos and detects; And if described portable terminal detects and comprise at least one facial image in the described photo, then described portable terminal is added to the described photo that comprises at least one facial image in the portrait photo set.
Photo classification management method according to the portable terminal of the embodiment of the invention, identify that by the facial image in the recognition of face comparison film portrait photo in the photo is sorted out, the user is found easily want the portrait photo of checking in a large amount of photos, promote user's experience.
To achieve these goals, the photo classification management devices of the portable terminal of second aspect present invention embodiment comprises: the first acquisition module is used for obtaining a plurality of photos of storing; Detection module is used for each photo of described a plurality of photos is carried out respectively the detection of people's face; And first add module, is used for when described detection module detects described photo and comprises at least one facial image the described photo that comprises at least one facial image being added in the portrait photo set.
Photo classification management devices according to the portable terminal of the embodiment of the invention, identify that by the facial image in the recognition of face comparison film portrait photo in the photo is sorted out, the user is found easily want the portrait photo of checking in a large amount of photos, promote user's experience.
To achieve these goals, the portable terminal of third aspect present invention embodiment comprises the photo classification management devices of the described portable terminal of each embodiment of the present invention.
Portable terminal according to the embodiment of the invention, photo classification management devices according to portable terminal, identify that by the facial image in the recognition of face comparison film portrait photo in the photo is sorted out, the user is found easily want the portrait photo of checking in a large amount of photos, promote user's experience.
The aspect that the present invention adds and advantage in the following description part provide, and part will become obviously from the following description, or recognize by practice of the present invention.
Description of drawings
Above-mentioned and/or the additional aspect of the present invention and advantage be from obviously and easily understanding becoming the description of embodiment below in conjunction with accompanying drawing, wherein,
Fig. 1 is the process flow diagram of the photo classification management method of according to an embodiment of the invention portable terminal;
Fig. 2 is the process flow diagram of photo classification management method of the portable terminal of the specific embodiment according to the present invention;
Fig. 3 is the process flow diagram of photo classification management method of the portable terminal of the specific embodiment according to the present invention;
Fig. 4 is the structural representation of the photo classification management devices of according to an embodiment of the invention portable terminal;
Fig. 5 is the structural representation of photo classification management devices of the portable terminal of the specific embodiment according to the present invention;
Fig. 6 is the structural representation of photo classification management devices of the portable terminal of another specific embodiment according to the present invention;
Fig. 7 is the structural representation of photo classification management devices of the portable terminal of another specific embodiment according to the present invention; And
Fig. 8 is the structural representation of photo classification management devices of the portable terminal of another specific embodiment according to the present invention.
Embodiment
The below describes embodiments of the invention in detail, and the example of described embodiment is shown in the drawings, and wherein identical or similar label represents identical or similar element or the element with identical or similar functions from start to finish.Be exemplary below by the embodiment that is described with reference to the drawings, only be used for explaining the present invention, and can not be interpreted as limitation of the present invention.On the contrary, embodiments of the invention comprise spirit and interior all changes, modification and the equivalent of intension scope that falls into additional claims.
In description of the invention, it will be appreciated that term " first ", " second " etc. only are used for describing purpose, and can not be interpreted as indication or hint relative importance.In description of the invention, need to prove that unless clear and definite regulation and restriction are arranged in addition, term " links to each other ", " connection " should do broad understanding, for example, can be to be fixedly connected with, and also can be to removably connect, or connect integratedly; Can be mechanical connection, also can be to be electrically connected; Can be directly to link to each other, also can indirectly link to each other by intermediary.For the ordinary skill in the art, can concrete condition understand above-mentioned term concrete meaning in the present invention.In addition, in description of the invention, except as otherwise noted, the implication of " a plurality of " is two or more.
Describe and to be understood in the process flow diagram or in this any process of otherwise describing or method, expression comprises module, fragment or the part of code of the executable instruction of the step that one or more is used to realize specific logical function or process, and the scope of preferred implementation of the present invention comprises other realization, wherein can be not according to order shown or that discuss, comprise according to related function by the mode of basic while or by opposite order, carry out function, this should be understood by the embodiments of the invention person of ordinary skill in the field.
Below with reference to photo classification management method, device and the portable terminal of accompanying drawing description according to the portable terminal of the embodiment of the invention.
A kind of photo classification management method of portable terminal may further comprise the steps: a plurality of photos that acquisition for mobile terminal is stored; Portable terminal carries out respectively recognition of face to each photo in a plurality of photos; And if comprise at least one facial image in the portable terminal identification photo, then the portable terminal photo that comprises at least one facial image is added in the portrait photo set.
Fig. 1 is the process flow diagram of the photo classification management method of according to an embodiment of the invention portable terminal.
As shown in Figure 1, the photo classification management method of portable terminal may further comprise the steps:
A plurality of photos that step S101, acquisition for mobile terminal store.
Step S102, portable terminal carry out respectively people's face to each photo in a plurality of photos and detect.
Particularly, each photo is carried out the detection of people's face and can use existing human face detection tech, the OpenCV(Open Source Computer Vision Library that for example increases income, computer vision class libraries).
Step S103 comprises at least one facial image if portable terminal detects in the photo, then the portable terminal photo that comprises at least one facial image is added in the portrait photo set.
Wherein, if portable terminal detects when not comprising facial image in the photo, then be added to other collection of photographs so that follow-uply proceed classification and judge.
Photo classification management method according to the portable terminal of the embodiment of the invention, identify that by the facial image in the recognition of face comparison film portrait photo in the photo is sorted out, the user is found easily want the portrait photo of checking in a large amount of photos, promote user's experience.
Fig. 2 is the process flow diagram of photo classification management method of the portable terminal of the specific embodiment according to the present invention.
As shown in Figure 2, the photo classification management method of portable terminal may further comprise the steps:
A plurality of photos that step S201, acquisition for mobile terminal store.
Step S202, portable terminal carry out respectively people's face to each photo in a plurality of photos and detect.
Particularly, each photo is carried out the detection of people's face and can use existing human face detection tech, the OpenCV that for example increases income.
Step S203 comprises at least one facial image if portable terminal detects in the photo, then the portable terminal photo that comprises at least one facial image is added in the portrait photo set.
Step S204, the facial image number that each photo in the set of acquisition for mobile terminal portrait photo comprises.
Step S205, portable terminal judge that whether facial image number that each photo comprises is greater than the first predetermined threshold value.Wherein, the first predetermined threshold value can be 1.
Step S206, if the facial image number that photo comprises greater than the first predetermined threshold value, then portable terminal is added to photo in the group photo portrait photo set.
Step S207, if the facial image number that photo comprises equals the first predetermined threshold value, then portable terminal is added to photo in the individual portrait photo set.
Photo classification management method according to the portable terminal of the embodiment of the invention, photo in the portrait photo set is further identified individual portrait photo set and the set of group photo portrait photo, the user is found more easily want the photo of checking in a large amount of photos, further promote user's experience.
In one embodiment of the invention, portrait photo is carried out after the classification of individual portrait and group photo portrait, can also classify according to different people's faces to individual portrait photo, concrete steps are: portable terminal can also be identified facial image corresponding to photo in the set of individual portrait photo, and the photo that will have an identical facial image is placed among the same individual portrait photo subclass.Particularly, at first, from individual portrait photo set, obtain a photo, wherein this photo can be first photo in the individual portrait photo set, then, set up people's portrait photo subclass take this name of pictures as title, and this photo put in this individual's portrait photo subclass, afterwards, this photo is compared by recognition of face with other photos in the individual portrait set, the photo that will have identical facial image is put in this individual's portrait photo subclass, again then, from remaining individual portrait photo set, obtain at random another photo, repeat above-mentioned steps and continue to compare by recognition of face, till the photo that in individual portrait file, does not contrast.Thus, can be with more careful being divided into different individuals according to different facial images and taking an X-ray in the set of the photo in the set of individual portrait photo, convenient user checks photo, has further promoted user's experience.
In another embodiment of the present invention, portrait photo is carried out after the classification of individual portrait and group photo portrait, can also classify according to different people's faces by involutory image photo, concrete steps are: portable terminal can also obtain a current photo from individual portrait photo subclass, wherein this current photo is the sign photo in the personal portrait photo subclass, can be first photo in the individual portrait photo subclass, portable terminal is identified according to facial image corresponding to photo in the involutory image collection of photographs of current photo, and the photo that will have a facial image identical with current photo is placed among the same group photo portrait photo subclass.Particularly, at first, from individual portrait photo subclass, obtain a photo, then, set up a group photo portrait photo subclass take this name of pictures as title, afterwards, this photo is compared by recognition of face with the photo in the set of group photo portrait photo, will have the photo of identical facial image to put in this group photo portrait photo subclass.Thus, can carry out different group photo portrait photo subclass for different individual portrait photo subclass stands facing each other, can be with more careful being divided in the different group photo sheet subclass of photo in the set of group photo portrait photo, convenient user checks photo, has further promoted user's experience.According to the photo classification management method of the portable terminal of the embodiment of the invention, the user is found more easily want the photo of checking in a large amount of photos, further promoted user's experience.
Fig. 3 is the process flow diagram of photo classification management method of the portable terminal of the specific embodiment according to the present invention.
As shown in Figure 3, the photo classification management method of portable terminal may further comprise the steps:
A plurality of photos that step S301, acquisition for mobile terminal store.
Step S302, portable terminal carry out respectively people's face to each photo in a plurality of photos and detect.
Particularly, each photo is carried out the detection of people's face and can use existing human face detection tech, the OpenCV that for example increases income.
Step S303 comprises at least one facial image if portable terminal detects in the photo, then the portable terminal photo that comprises at least one facial image is added in the portrait photo set.
Step S304, the facial image number that each photo in the set of acquisition for mobile terminal portrait photo comprises.
Step S305, portable terminal judge that whether facial image number that each photo comprises is greater than the first predetermined threshold value.Wherein, the first predetermined threshold value can be 1.
Step S306, if the facial image number that photo comprises greater than the first predetermined threshold value, then portable terminal is added to photo in the group photo portrait photo set.
Step S307, if the facial image number that photo comprises equals the first predetermined threshold value, then portable terminal is added to photo in the individual portrait photo set.
Step S308 does not comprise facial image if portable terminal detects in the photo, then portable terminal further obtains the marginal density of photo.
Particularly, can adopt Sobel Operator to obtain marginal density.Wherein, Sobel Operator is the discreteness difference operator, is used for the approximate value of gradient of arithmograph image brightness function to obtain marginal density.Sobel Operator comprises the matrix of two groups of 3x3, as shown in Table 1 and Table 2, is respectively the horizontal convolution factor and vertical convolution factor, and itself and image are made planar convolution, and wherein, the core formula is as follows,
Wherein, A is original image, and Gx and Gy are respectively through laterally reaching the image that longitudinal edge detects.
| -1 | 0 | +1 |
| -2 | 0 | +2 |
| -1 | 0 | +1 |
Table 1 is the convolution factor laterally
| +1 | +2 | +1 |
| 0 | 0 | 0 |
| -1 | -2 | -1 |
Table 2 is the convolution factor vertically
Step S309, portable terminal judge that whether marginal density is greater than the second predetermined threshold value.
Step S310, if marginal density greater than the second predetermined threshold value, then portable terminal is added to photo in the literal collection of photographs.
Step S311, if marginal density is less than or equal to the second predetermined threshold value, then portable terminal is added to photo in the picture with scenes set.
In one embodiment of the invention, step S311 is optional.
Photo classification management method according to the portable terminal of the embodiment of the invention, at first by recognition of face portrait photo is sorted out, then the literal photo can be sorted out by marginal density, the remaining picture with scenes that classifies as, simultaneously automatic classification portrait photo, literal photo and picture with scenes, be convenient to the user and check, the user is found more easily want the photo of checking in a large amount of photos, further promoted user's experience.
In one embodiment of the invention, can also adopt following method screening literal photo: at first, comparison film carries out gradation conversion, namely from the YUV photo, extract gradation data and data are shown as image, wherein, a kind of colour coding method that YUV is adopted by the eurovision system, Y presentation video brightness value, the color-values of U presentation video, the intensity value of V presentation video.Then, be bianry image (namely only having 0 or 1) by the conversion to Y value with image transitions.Afterwards, carry out edge extracting at bianry image, wherein, the point that non-edge can be set is 0, the point at edge is 1, on image from top to bottom, begin from left to right to calculate pixel in the 64x64 zone and, be marginal density, again then, whether judge it more than or equal to 2/3rds of region area according to the marginal density in 64x64 zone, if more than or equal to 2/3rds of region area, be character area with this zone marker then, again, judge character area number in the current photo whether greater than half of All Ranges number, if, then this photo is the literal photo, otherwise is labeled as picture with scenes.
In order to realize above-described embodiment, the present invention also proposes a kind of photo classification management devices of portable terminal.
A kind of photo classification management devices of portable terminal comprises: the first acquisition module is used for obtaining a plurality of photos of storing; Detection module is used for each photo of a plurality of photos is carried out respectively the detection of people's face; And first add module, is used for when detection module detects photo and comprises at least one facial image, and the photo that will comprise at least one facial image is added in the portrait photo set.
Fig. 4 is the structural representation of the photo classification management devices of according to an embodiment of the invention portable terminal.
As shown in Figure 4, the photo classification management devices of portable terminal comprises: the first acquisition module 100, detection module 200 and first adds module 300.
Particularly, the first acquisition module 100 is used for obtaining a plurality of photos of storing.
Detection module 200 is used for each photo of a plurality of photos is carried out respectively the detection of people's face.More specifically, detection module 200 carries out people's face to each photo and detects and can use existing human face detection tech, the OpenCV that for example increases income.
First adds module 300 is used for when detection module 200 detects photo and comprises at least one facial image, and the photo that will comprise at least one facial image is added in the portrait photo set.Wherein, if portable terminal detects when not comprising facial image in the photo, then be added to other collection of photographs so that follow-uply proceed classification and judge.
Photo classification management devices according to the portable terminal of the embodiment of the invention, identify that by the facial image in the recognition of face comparison film portrait photo in the photo is sorted out, the user is found easily want the portrait photo of checking in a large amount of photos, promote user's experience.
Fig. 5 is the structural representation of photo classification management devices of the portable terminal of the specific embodiment according to the present invention.
As shown in Figure 5, on basis shown in Figure 4, the photo classification management devices of portable terminal also comprises: the second acquisition module 400, the first judge modules 500, the second add module 600 and the 3rd and add module 700.
Particularly, the second acquisition module 400 is used for obtaining the facial image number that each photo of portrait photo set comprises.
The first judge module 500 is used for judging that whether facial image number that each photo comprises is greater than the first predetermined threshold value.Wherein, the first predetermined threshold value can be 1.
Second adds module 600 is used for when the first judge module 500 judges that facial image number that photos comprise is greater than the first predetermined threshold value photo being added in the set of group photo portrait photo.
The 3rd adds module 700 is used for when the facial image number that the first judge module 500 judgement photos comprise equals the first predetermined threshold value photo being added in the individual portrait photo set.
Photo classification management devices according to the portable terminal of the embodiment of the invention, photo in the portrait photo set is further identified individual portrait photo set and the set of group photo portrait photo, the user is found more easily want the photo of checking in a large amount of photos, further promote user's experience.
Fig. 6 is the structural representation of photo classification management devices of the portable terminal of another specific embodiment according to the present invention.
As shown in Figure 6, on basis shown in Figure 5, the photo classification management devices of portable terminal also comprises: the first identification module 800 and the 4th adds module 900.
Particularly, the first identification module 800 is used for the facial image corresponding to photo of individual portrait photo set identified.
The 4th adds module 900 joins among the same individual portrait photo subclass for the photo that will have identical facial image.
More specifically, at first, from individual portrait photo set, obtain a photo, wherein this photo can be first photo in the individual portrait photo set, then, set up people's portrait photo subclass take this name of pictures as title, and this photo put in this individual's portrait photo subclass, afterwards, this photo is compared by recognition of face with other photos in the individual portrait set, the photo that will have identical facial image is put in this individual's portrait photo subclass, again then, from remaining individual portrait photo set, obtain at random another photo, repeat above-mentioned steps and continue to compare by recognition of face, till the photo that in individual portrait file, does not contrast.Thus, can be with more careful being divided into different individuals according to different facial images and taking an X-ray in the set of the photo in the set of individual portrait photo, convenient user checks photo, has further promoted user's experience.
Fig. 7 is the structural representation of photo classification management devices of the portable terminal of another specific embodiment according to the present invention.
As shown in Figure 7, on basis shown in Figure 6, the photo classification management devices of portable terminal also comprises: the 3rd acquisition module 1000, the second identification modules 1100 and slender acanthopanax enter module 1200.
Particularly, the 3rd acquisition module 1000 is used for obtaining a current photo from individual portrait photo subclass, and wherein this current photo is the sign photo in the personal portrait photo subclass, can be first photo in the individual portrait photo subclass.
The second identification module 1100 is used for identifying according to the facial image corresponding to photo of the involutory image collection of photographs of current photo.
Slender acanthopanax enters module 1200 and joins among the same group photo portrait photo subclass for the photo that will have the facial image identical with current photo.
More specifically, at first, from individual portrait photo subclass, obtain a photo, then, set up a group photo portrait photo subclass take this name of pictures as title, afterwards, this photo is compared by recognition of face with the photo in the set of group photo portrait photo, will have the photo of identical facial image to put in this group photo portrait photo subclass.Thus, can carry out different group photo portrait photo subclass for different individual portrait photo subclass stands facing each other, can be with more careful being divided in the different group photo sheet subclass of photo in the set of group photo portrait photo, convenient user checks photo, has further promoted user's experience.According to the photo classification management method of the portable terminal of the embodiment of the invention, the user is found more easily want the photo of checking in a large amount of photos, further promoted user's experience.
Fig. 8 is the structural representation of photo classification management devices of the portable terminal of another specific embodiment according to the present invention.
As shown in Figure 8, on basis shown in Figure 7, the photo classification management devices of portable terminal also comprises: the 3rd acquisition module 1300, the second judge modules 1400, the six add module 1500 and the 7th and add module 1600.
Particularly, the 3rd acquisition module 1300 is used for further obtaining the marginal density of photo when detection module 200 detects photo and do not comprise facial image.More specifically, can adopt Sobel Operator to obtain marginal density.Wherein, Sobel Operator is the discreteness difference operator, is used for the approximate value of gradient of arithmograph image brightness function to obtain marginal density.Sobel Operator comprises the matrix of two groups of 3x3, as shown in Table 1 and Table 2, is respectively the horizontal convolution factor and vertical convolution factor, and itself and image are made planar convolution, and wherein, the core formula is as follows,
Wherein, A is original image, and Gx and Gy are respectively through laterally reaching the image that longitudinal edge detects.
| -1 | 0 | +1 |
| -2 | 0 | +2 |
| -1 | 0 | +1 |
Table 1 is the convolution factor laterally
| +1 | +2 | +1 |
| 0 | 0 | 0 |
| -1 | -2 | -1 |
Table 2 is the convolution factor vertically
The second judge module 1400 is used for judging that whether marginal density is greater than the second predetermined threshold value.
The 6th adds module 1500 is used for when the second judge module 1400 is judged marginal density greater than described the second predetermined threshold value photo being added in the literal collection of photographs.
The 7th adds module 1600 is used for when the second judge module 1400 judges that marginal density is less than or equal to the second predetermined threshold value photo being added in the picture with scenes set.
Photo classification management devices according to the portable terminal of the embodiment of the invention, at first by recognition of face portrait photo is sorted out, then the literal photo can be sorted out by marginal density, the remaining picture with scenes that classifies as, simultaneously automatic classification portrait photo, literal photo and picture with scenes, be convenient to the user and check, the user is found more easily want the photo of checking in a large amount of photos, further promoted user's experience.
In one embodiment of the invention, can also adopt following method screening literal photo: at first, comparison film carries out gradation conversion, namely from the YUV photo, extract gradation data and data are shown as image, wherein, a kind of colour coding method that YUV is adopted by the eurovision system, Y presentation video brightness value, the color-values of U presentation video, the intensity value of V presentation video.Then, be bianry image (namely only having 0 or 1) by the conversion to Y value with image transitions.Afterwards, carry out edge extracting at bianry image, wherein, the point that non-edge can be set is 0, the point at edge is 1, on image from top to bottom, begin from left to right to calculate pixel in the 64x64 zone and, be marginal density, again then, whether judge it more than or equal to 2/3rds of region area according to the marginal density in 64x64 zone, if more than or equal to 2/3rds of region area, be character area with this zone marker then, again, judge character area number in the current photo whether greater than half of All Ranges number, if, then this photo is the literal photo, otherwise is labeled as picture with scenes.
In order to realize above-described embodiment, the present invention also proposes a kind of portable terminal.
A kind of terminal comprises the photo classification management devices of the described portable terminal of each embodiment of the present invention.
Portable terminal according to the embodiment of the invention, photo classification management devices according to portable terminal, identify that by the facial image in the recognition of face comparison film portrait photo in the photo is sorted out, the user is found easily want the portrait photo of checking in a large amount of photos, promote user's experience.
Should be appreciated that in an embodiment of the present invention portable terminal can be the hardware device that mobile phone, panel computer, personal digital assistant, e-book etc. have various operating systems.
Should be appreciated that each several part of the present invention can realize with hardware, software, firmware or their combination.In the above-described embodiment, a plurality of steps or method can realize with being stored in the storer and by software or firmware that suitable instruction execution system is carried out.For example, if realize with hardware, the same in another embodiment, can realize with the combination of each or they in the following technology well known in the art: have for the discrete logic of data-signal being realized the logic gates of logic function, special IC with suitable combinational logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc.
In the description of this instructions, the description of reference term " embodiment ", " some embodiment ", " example ", " concrete example " or " some examples " etc. means to be contained at least one embodiment of the present invention or the example in conjunction with specific features, structure, material or the characteristics of this embodiment or example description.In this manual, the schematic statement of above-mentioned term not necessarily referred to identical embodiment or example.And the specific features of description, structure, material or characteristics can be with suitable mode combinations in any one or more embodiment or example.
Although illustrated and described embodiments of the invention, for the ordinary skill in the art, be appreciated that without departing from the principles and spirit of the present invention and can carry out multiple variation, modification, replacement and modification to these embodiment that scope of the present invention is by claims and be equal to and limit.
Claims (13)
1. the photo classification management method of a portable terminal is characterized in that, may further comprise the steps:
A plurality of photos that acquisition for mobile terminal is stored;
Described portable terminal carries out respectively people's face to each photo in described a plurality of photos and detects; And
Comprise at least one facial image in the described photo if described portable terminal detects, then described portable terminal is added to the described photo that comprises at least one facial image in the portrait photo set.
2. method according to claim 1 is characterized in that, and is further comprising the steps of:
The facial image number that each described photo in the described portrait photo set of described acquisition for mobile terminal comprises;
Described portable terminal judges that whether facial image number that each described photo comprises is greater than the first predetermined threshold value;
If the facial image number that described photo comprises is greater than described the first predetermined threshold value, then described portable terminal is added to described photo in the set of group photo portrait photo; And
If the facial image number that described photo comprises equals described the first predetermined threshold value, then described portable terminal is added to described photo in the individual portrait photo set.
3. method according to claim 2 is characterized in that, and is further comprising the steps of:
Described portable terminal is identified facial image corresponding to photo in the described individual portrait photo set; And
The photo that described portable terminal will have identical facial image joins among the same individual portrait photo subclass.
4. method according to claim 3 is characterized in that, and is further comprising the steps of:
Described portable terminal obtains a current photo from described individual portrait photo subclass;
Described portable terminal is identified facial image corresponding to photo in the described group photo portrait photo set according to described current photo; And
The photo that described portable terminal will have the facial image identical with described current photo joins among the same group photo portrait photo subclass.
5. each described method is characterized in that according to claim 1-4, and is further comprising the steps of:
Do not comprise facial image in the described photo if described portable terminal detects, then described portable terminal further obtains the marginal density of described photo;
Described portable terminal judges that whether described marginal density is greater than the second predetermined threshold value;
If described marginal density is greater than described the second predetermined threshold value, then described portable terminal is added to described photo in the literal collection of photographs.
6. method according to claim 5 is characterized in that, and is further comprising the steps of:
If described marginal density is less than or equal to described the second predetermined threshold value, then described portable terminal is added to described photo in the picture with scenes set.
7. the photo classification management devices of a portable terminal is characterized in that, comprising:
The first acquisition module is used for obtaining a plurality of photos of storing;
Detection module is used for each photo of described a plurality of photos is carried out respectively the detection of people's face; And
First adds module, is used for when described detection module detects described photo and comprises at least one facial image the described photo that comprises at least one facial image being added in the portrait photo set.
8. device according to claim 7 is characterized in that, also comprises:
The second acquisition module is used for obtaining the facial image number that each described photo of described portrait photo set comprises;
The first judge module is used for judging that whether facial image number that each described photo comprises is greater than the first predetermined threshold value;
Second adds module, is used for when described the first judge module judges that facial image number that described photo comprises is greater than described the first predetermined threshold value described photo being added in the set of group photo portrait photo; And
The 3rd adds module, is used for when described the first judge module judges that facial image number that described photo comprises equals described the first predetermined threshold value described photo being added in the individual portrait photo set.
9. device according to claim 8 is characterized in that, also comprises:
The first identification module is used for the facial image corresponding to photo of described individual portrait photo set identified; And
The 4th adds module, joins among the same individual portrait photo subclass for the photo that will have identical facial image.
10. device according to claim 9 is characterized in that, also comprises:
The 3rd acquisition module is used for obtaining a current photo from described individual portrait photo subclass;
The second identification module is used for according to described current photo the facial image corresponding to photo of described group photo portrait photo set being identified; And
Slender acanthopanax enters module, joins among the same group photo portrait photo subclass for the photo that will have the facial image identical with described current photo.
11. each described device is characterized in that according to claim 7-10, also comprises:
The 3rd acquisition module is used for further obtaining the marginal density of described photo when described detection module detects described photo and do not comprise facial image;
The second judge module is used for judging that whether described marginal density is greater than the second predetermined threshold value;
The 6th adds module, is used for when described the second judge module is judged described marginal density greater than described the second predetermined threshold value described photo being added in the literal collection of photographs.
12. device according to claim 11 is characterized in that, also comprises:
The 7th adds module, is used for when described the second judge module judges that described marginal density is less than or equal to described the second predetermined threshold value, and described photo is added in the picture with scenes set.
13. a portable terminal is characterized in that, comprises the photo classification management devices such as each described portable terminal of claim 7-12.
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