CN105912590A - Classified storage method and device for pictures and mobile terminal - Google Patents
Classified storage method and device for pictures and mobile terminal Download PDFInfo
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- CN105912590A CN105912590A CN201610203383.1A CN201610203383A CN105912590A CN 105912590 A CN105912590 A CN 105912590A CN 201610203383 A CN201610203383 A CN 201610203383A CN 105912590 A CN105912590 A CN 105912590A
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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
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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
- G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
Abstract
The invention provides a classified storage method and device for pictures and a mobile terminal, pertaining to the technical field of man-machine interaction. The classified storage method comprises following steps: receiving a picture classification instruction and extracting feature value of pictures; determining types of objects in pictures based on feature value and storing pictures in a classified manner based on types of objects in pictures. Without manual selection, a user can automatically classify pictures and user's experience degree is improved.
Description
Technical field
The present invention relates to human-computer interaction technique field, be specifically related to a kind of photo classification storage method, dress
Put and mobile terminal.
Background technology
Along with the development of science and technology, with the volume of the mobile terminals such as the mobile phone of camera function, digital camera
More and more frivolous, the photographic quality taken also is become better and better.People travel outdoors, and often can carry with
There is the mobile terminals such as the mobile phone of camera function, digital camera to take the photo admired at any time.
But the mobile terminal at present with camera function is all to store, according to shooting time, the photograph photographed
Sheet, picture with scenes and portrait photographs are mixed in together, need user manually to select and could realize classification and deposit
Storage, user experience is poor.
Summary of the invention
Therefore, the technical problem to be solved in the present invention is to overcome in prior art the photo of shooting can not
The defect of automatic clustering, thus provide a kind of can automatic clustering photo classification storage method, device
And mobile terminal.
To this end, the technical scheme is that
The invention provides a kind of photo classification storage method, for having the mobile terminal of camera function,
Comprise the steps:
After receiving photo categorizing instructions, extract the eigenvalue in photo；
The type belonging to object is determined in photo according to described eigenvalue；
According to the type belonging to object in described photo, this photo is carried out classification to store.
Method of the present invention, described in extract the step of the eigenvalue in photo and include:
Determine photo central area scope according to pre-set dimension, and described photo central area scope comprises
Photo focal position；
Extract the eigenvalue feature as described photo of picture in the range of described photo central area
Value.
Method of the present invention, described determines in photo the type belonging to object according to described eigenvalue
Step include:
If described eigenvalue does not include the eigenvalue embodying human characteristic, determine in photo belonging to object
Type be picture with scenes；
If described eigenvalue only includes the eigenvalue embodying human characteristic, determine in photo belonging to object
Type be portrait photographs.
Method of the present invention, described determines in photo the type belonging to object according to described eigenvalue
Step also include:
If described eigenvalue also including in addition to including the eigenvalue of embodiment human characteristic embody non-human
The eigenvalue of feature, obtains the ratio that the eigenvalue of described embodiment human characteristic is shared in described eigenvalue
Example；
If described ratio beyond preset ratio value, determines that the type in photo belonging to object is portrait photographs,
If without departing from, determine in photo that the type belonging to object is picture with scenes.
Present invention also offers a kind of photo classification storage device, for having the mobile end of camera function
End, including:
Characteristics extraction unit, for after receiving photo categorizing instructions, extracts the feature in photo
Value；
Sort out unit, for determining in photo the type belonging to object according to described eigenvalue；
Classification memory element, for carrying out this photo point according to the type belonging to object in described photo
Class stores.
Device of the present invention, described characteristics extraction unit includes:
Central area determines subelement, for determining photo central area scope according to pre-set dimension, and
Described photo central area scope comprises photo focal position；
Extracting subelement, the eigenvalue of the picture in the range of extracting described photo central area is made
Eigenvalue for described photo.
Device of the present invention, it is special that described classification unit does not include embodying the mankind in described eigenvalue
During the eigenvalue levied, determine in photo that the type belonging to object is picture with scenes；In described eigenvalue
When only including the eigenvalue embodying human characteristic, determine in photo that the type belonging to object is portrait photographs.
Device of the present invention, described classification unit in described eigenvalue except include embody the mankind
When also including the eigenvalue embodying non-human feature outside the eigenvalue of feature, obtain the described embodiment mankind special
The ratio that the eigenvalue levied is shared in described eigenvalue；When described ratio is beyond preset ratio value,
Determine in photo that the type belonging to object is portrait photographs, if without departing from time, determine object institute in photo
The type belonged to is picture with scenes.
Present invention also offers a kind of mobile terminal, including above-mentioned photo classification storage device and shooting dress
Put；
Described filming apparatus, is used for shooting photo and transmitting to described photo classification storage device.
Technical solution of the present invention, has the advantage that
The invention provides a kind of photo classification storage method and device, carry after receiving photo categorizing instructions
Take out the eigenvalue in photo, determine in photo the type belonging to object according to eigenvalue, and according to photograph
In sheet, the type Control sheet of object carries out classification storage.Manually select without user and can realize photo
Automatic clustering, user experience is good.
Accompanying drawing explanation
In order to be illustrated more clearly that the specific embodiment of the invention or technical scheme of the prior art, under
The accompanying drawing used required in detailed description of the invention or description of the prior art will be briefly described by face,
It should be evident that the accompanying drawing in describing below is some embodiments of the present invention, general for this area
From the point of view of logical technical staff, on the premise of not paying creative work, it is also possible to obtain according to these accompanying drawings
Obtain other accompanying drawing.
Fig. 1 is the flow process of an instantiation of photo classification storage method in the embodiment of the present invention 1
Figure；
Fig. 2 is the tool extracting photo eigen value in the embodiment of the present invention 1 photo classification storage method
The flow chart of body example；
Fig. 3 is to determine in photo the class belonging to object in the embodiment of the present invention 1 photo classification storage method
The flow chart of one instantiation of type；
Fig. 4 is the principle frame of an instantiation of photo classification storage device in the embodiment of the present invention 2
Figure；
Fig. 5 is the theory diagram of an instantiation of mobile terminal in the embodiment of the present invention 3.
Reference:
1-characteristics extraction unit；2-sorts out unit；3-classifies memory element；11-central area is true
Stator unit；12-extracts subelement；4-photo classification storage device；5-filming apparatus.
Detailed description of the invention
Below in conjunction with accompanying drawing, technical scheme is clearly and completely described, it is clear that
Described embodiment is a part of embodiment of the present invention rather than whole embodiments.Based on this
Embodiment in bright, those of ordinary skill in the art are obtained under not making creative work premise
Every other embodiment, broadly fall into the scope of protection of the invention.
In describing the invention, it should be noted that term " " center ", " on ", D score, " left ",
Orientation or the position relationship of the instruction such as " right ", " vertically ", " level ", " interior ", " outward " are based on attached
Orientation shown in figure or position relationship, be for only for ease of description the present invention and simplify describe rather than
Instruction or the hint device of indication or element must have specific orientation, with specific azimuth configuration and
Operation, is therefore not considered as limiting the invention.Additionally, term " first ", " second ", "
Three " it is only used for describing purpose, and it is not intended that indicate or hint relative importance.
In describing the invention, it should be noted that unless otherwise clearly defined and limited, art
Language " is installed ", " being connected ", " connection " should be interpreted broadly, and connects for example, it may be fixing,
Can also be to removably connect, or be integrally connected；Can be to be mechanically connected, it is also possible to be electrical connection；
Can be to be joined directly together, it is also possible to be indirectly connected to by intermediary, it is also possible to be two element internals
Connection, can be wireless connections, it is also possible to be wired connection.Ordinary skill people for this area
For Yuan, above-mentioned term concrete meaning in the present invention can be understood with concrete condition.
As long as additionally, technical characteristic involved in invention described below difference embodiment that
The conflict of not constituting between this just can be combined with each other.
Embodiment 1
The invention provides a kind of photo classification storage method, for having the mobile terminal of camera function,
Wherein mobile terminal is including but not limited to smart mobile phone, Pad, digital camera etc., in the present embodiment
Photo classification storage method comprises the steps:
S1. characteristics extraction.Farther include:
S11. detect whether to receive photo categorizing instructions.If receiving, enter step S12, if not receiving,
Repeat step S11.Specifically, can be considered as receiving photo categorizing instructions by the photo receiving new shooting,
User can also press key information produced by certain button or Macintosh refer to as photo classification
Order, such as can press key information produced by storage key as photo categorizing instructions etc. using user.
S12. the eigenvalue in photo is extracted.Specifically, can extract based on image analysis technology
Eigenvalue in photo.
S2. the type belonging to object is determined in photo according to eigenvalue.
S3. according to the type belonging to object in photo, this photo is carried out classification to store.
Photo classification storage method in the present embodiment, extracts in photo after receiving photo categorizing instructions
Eigenvalue, determine in photo the type belonging to object according to eigenvalue, and according to object in photo
Type Control sheet carries out classification storage.The automatic clustering that can realize photo is manually selected without user,
User experience is good.
Preferably, as in figure 2 it is shown, step S12 includes:
S121. photo central area scope, and described photo central area scope are determined according to pre-set dimension
Comprise photo focal position.Specifically, during shooting photo, people would generally shoot focus alignment
Object, namely propagate outward into, for reference point, the photo that pre-set dimension intercepts out with photo focal position
Picture in the range of central area is only user and really wants the object of shooting.Pre-set dimension can by with
Family arranges voluntarily or uses default setting.
S122. the eigenvalue eigenvalue as photo of picture in the range of photo central area is extracted.
Specifically, using the eigenvalue of the picture in the range of photo central area as the eigenvalue of photo, it is possible to
Forgo interference factor, only extract the eigenvalue that user really wants the object of shooting, contribute to making photograph
The result that sheet is classified automatically meets the real demand of user, improves the Experience Degree of user.
Preferably, as it is shown on figure 3, step S2 includes:
S21. picture with scenes judges.Farther include:
S211., judging characteristic value does not the most include the eigenvalue embodying human characteristic.If so, step is entered
Rapid S212, if it is not, enter step S22.
S212. determine in photo that the type belonging to object is picture with scenes.Specifically, if in eigenvalue
Do not comprise face, hands, extremity etc. and embody the eigenvalue of human characteristic, it is possible to determine central area model
Enclose and interior picture does not include personage, namely user wants the object (object of focus alignment) of shooting
Personage, should in the case of determine in photo the type belonging to object be picture with scenes be to meet user
Actual demand.
S22. portrait photographs judges.Farther include:
S221., judging characteristic value the most only includes the eigenvalue embodying human characteristic.If so, step is entered
Rapid S222, if it is not, enter step S23.
S222. determine in photo that the type belonging to object is portrait photographs.Specifically, if in eigenvalue
Only include the eigenvalue embodying human characteristic, it is possible to determine in the picture in the range of central area and only wrap
Include personage, namely user wants the object (object of focus alignment) shot to be exactly personage, this situation
The lower type determined in photo belonging to object is that portrait photographs meets user's actual need.
S23. the ratio that the eigenvalue embodying human characteristic is shared in eigenvalue is obtained.
S24. according to the class of the ratio-dependent photo shared in eigenvalue of the eigenvalue embodying human characteristic
Type.Farther include:
S241. judge that whether this ratio is beyond preset ratio value.If exceeding, enter step S242, if not
Exceed, enter step S243.
S242. determine in photo that the type belonging to object is portrait photographs.
S243. determine in photo that the type belonging to object is picture with scenes.
Specifically, if eigenvalue also including embodying in addition to including embodying the eigenvalue of human characteristic non-
The eigenvalue of human characteristic, illustrates the existing personage of the object in the range of central area, also has the wind such as plant
According to eigenvalue, scape, obviously directly can not judge that photo is picture with scenes or people on earth in the case of being somebody's turn to do
Thing photo.By judging whether the ratio shared in eigenvalue of the eigenvalue embodying human characteristic surpasses
Go out preset ratio threshold value, it is possible to analyze the proportion shared by personage, only this ratio in the range of central area
When example is beyond preset ratio threshold value (such as 60%), just explanation personage is that user really wants the right of shooting
As rather than as photo background occur, it is to meet user that photo is now defined as portrait photographs
Real demand, it is possible to promote the Experience Degree of user further.
Embodiment 2
Present embodiments provide a kind of photo classification storage device, for having the mobile end of camera function
End, wherein mobile terminal is including but not limited to smart mobile phone, Pad, digital camera etc., the present embodiment
In photo classification storage device, as shown in Figure 4, including:
Characteristics extraction unit 1, for after receiving photo categorizing instructions, extracts the feature in photo
Value.
Sort out unit 2, for determining in photo the type belonging to object according to eigenvalue.
Classification memory element 3, deposits for this photo being carried out classification according to the type belonging to object in photo
Storage.
Photo classification storage device in the present embodiment, extracts in photo after receiving photo categorizing instructions
Eigenvalue, determine in photo the type belonging to object according to eigenvalue, and according to object in photo
Type Control sheet carries out classification storage.The automatic clustering that can realize photo is manually selected without user,
User experience is good.
Preferably, characteristics extraction unit 1 includes:
Central area determines subelement 11, for determining photo central area scope according to pre-set dimension,
And described photo central area scope comprises photo focal position.
Extract subelement 12, the eigenvalue conduct of the picture in the range of extracting photo central area
The eigenvalue of photo.Specifically, using the eigenvalue of the picture in the range of photo central area as photo
Eigenvalue, it is possible to interference factor of forgoing, only extract user and really want the feature of object of shooting
Value, the result contributing to making photo automatically classify meets the real demand of user, improves the body of user
Degree of testing.
Preferably, when sorting out the eigenvalue that unit 2 does not include embodiment human characteristic in eigenvalue, really
Determining in photo the type belonging to object is picture with scenes；Eigenvalue only includes embody human characteristic
During eigenvalue, determine in photo that the type belonging to object is portrait photographs.Except including in eigenvalue
When embodying the eigenvalue also including embodiment non-human feature outside the eigenvalue of human characteristic, obtain and embody people
The ratio that the eigenvalue of category feature is shared in eigenvalue；When ratio is beyond preset ratio value, determine
In photo, the type belonging to object is portrait photographs, if without departing from time, determine in photo belonging to object
Type is picture with scenes.
Specifically, if eigenvalue also including embodying in addition to including embodying the eigenvalue of human characteristic non-
The eigenvalue of human characteristic, illustrates the existing personage of the object in the range of central area, also has the wind such as plant
According to eigenvalue, scape, obviously directly can not judge that photo is picture with scenes or people on earth in the case of being somebody's turn to do
Thing photo.By judging whether the ratio shared in eigenvalue of the eigenvalue embodying human characteristic surpasses
Go out preset ratio threshold value, it is possible to analyze the proportion shared by personage, only this ratio in the range of central area
When example is beyond preset ratio threshold value (such as 60%), just explanation personage is that user really wants the right of shooting
As rather than as photo background occur, it is to meet user that photo is now defined as portrait photographs
Real demand, it is possible to promote the Experience Degree of user further.
Embodiment 3
Present embodiments provide a kind of mobile terminal, including but not limited to smart mobile phone, Pad, number
Cameras etc., the mobile terminal in the present embodiment, as it is shown in figure 5, the photo included in embodiment 2 divides
Class storage device 4 and filming apparatus 5.
Filming apparatus 5, is used for shooting photo and transmitting to photo classification storage device 4.
Mobile terminal in the present embodiment, stores device 4 by photo classification, it is not necessary to user manually selects
The automatic clustering of photo can be realized.In categorizing process, by the picture in the range of photo central area
Eigenvalue is as the eigenvalue of photo, it is possible to interference factor of forgoing, and only extracts user and really wants to clap
The eigenvalue of the object taken the photograph, the result contributing to making photo automatically classify meets the real demand of user,
Improve the Experience Degree of user.
Those skilled in the art it should be appreciated that embodiments of the invention can be provided as method, system,
Or computer program.Therefore, the present invention can use complete hardware embodiment, complete software to implement
Example or the form of the embodiment in terms of combining software and hardware.And, the present invention can use at one
Or multiple wherein include computer usable program code computer-usable storage medium (include but not
It is limited to disk memory, CD-ROM, optical memory etc.) shape of the upper computer program implemented
Formula.
The present invention is with reference to method, equipment (system) and computer program according to embodiments of the present invention
The flow chart of product and/or block diagram describe.It should be understood that stream can be realized by computer program instructions
In each flow process in journey figure and/or block diagram and/or square frame and flow chart and/or block diagram
Flow process and/or the combination of square frame.These computer program instructions can be provided to general purpose computer, specially
With the processor of computer, Embedded Processor or other programmable data processing device to produce one
Machine so that the instruction performed by the processor of computer or other programmable data processing device is produced
Raw for realizing one flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple side
The device of the function specified in frame.
These computer program instructions may be alternatively stored in and computer or other programmable datas can be guided to process
In the computer-readable memory that equipment works in a specific way so that be stored in this computer-readable and deposit
Instruction in reservoir produces the manufacture including command device, and this command device realizes flow chart one
The function specified in flow process or multiple flow process and/or one square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded into computer or other programmable data processing device
On so that on computer or other programmable devices, perform sequence of operations step to produce computer
The process realized, thus the instruction performed on computer or other programmable devices provides and is used for realizing
One flow process of flow chart or multiple flow process and/or one square frame of block diagram or multiple square frame are specified
The step of function.
Claims (9)
1. a photo classification storage method, for having the mobile terminal of camera function, its feature exists
In, comprise the steps:
After receiving photo categorizing instructions, extract the eigenvalue in photo；
The type belonging to object is determined in photo according to described eigenvalue；
According to the type belonging to object in described photo, this photo is carried out classification to store.
Method the most according to claim 1, it is characterised in that described in extract the spy in photo
The step of value indicative includes:
Determine photo central area scope according to pre-set dimension, and described photo central area scope comprises
Photo focal position；
Extract the eigenvalue feature as described photo of picture in the range of described photo central area
Value.
Method the most according to claim 1 and 2, it is characterised in that described according to described feature
Value determines that the step of the type in photo belonging to object includes:
If described eigenvalue does not include the eigenvalue embodying human characteristic, determine in photo belonging to object
Type be picture with scenes；
If described eigenvalue only includes the eigenvalue embodying human characteristic, determine in photo belonging to object
Type be portrait photographs.
Method the most according to claim 3, it is characterised in that described true according to described eigenvalue
The step determining in photo the type belonging to object also includes:
If described eigenvalue also including in addition to including the eigenvalue of embodiment human characteristic embody non-human
The eigenvalue of feature, obtains the ratio that the eigenvalue of described embodiment human characteristic is shared in described eigenvalue
Example；
If described ratio beyond preset ratio value, determines that the type in photo belonging to object is portrait photographs,
If without departing from, determine in photo that the type belonging to object is picture with scenes.
5. a photo classification storage device, for having the mobile terminal of camera function, its feature exists
In, including:
Characteristics extraction unit (1), for after receiving photo categorizing instructions, extracts in photo
Eigenvalue；
Sort out unit (2), for determining in photo the type belonging to object according to described eigenvalue；
Classification memory element (3), for entering this photo according to the type belonging to object in described photo
Row classification storage.
Device the most according to claim 5, it is characterised in that described characteristics extraction unit (1)
Including:
Central area determines subelement (11), for determining photo central area scope according to pre-set dimension,
And described photo central area scope comprises photo focal position；
Extract subelement (12), the feature of the picture in the range of extracting described photo central area
It is worth the eigenvalue as described photo.
7. according to the device described in claim 5 or 6, it is characterised in that described classification unit (2)
When not including the eigenvalue embodying human characteristic in described eigenvalue, determine in photo belonging to object
Type is picture with scenes；When only including the eigenvalue embodying human characteristic in described eigenvalue, determine
In photo, the type belonging to object is portrait photographs.
Device the most according to claim 7, it is characterised in that described classification unit (2) is in institute
State the spy also including embodying non-human feature in eigenvalue in addition to including embodying the eigenvalue of human characteristic
During value indicative, obtain the ratio that the eigenvalue of described embodiment human characteristic is shared in described eigenvalue；?
When described ratio is beyond preset ratio value, determine in photo that the type belonging to object is portrait photographs, if
Without departing from time, determine in photo that the type belonging to object is picture with scenes.
9. a mobile terminal, it is characterised in that include the photo described in any one of claim 5-8
Sorting storage device (4) and filming apparatus (5)；
Described filming apparatus (5), is used for shooting photo and transmitting to described photo classification storage device (4).
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610203383.1A CN105912590A (en) | 2016-04-01 | 2016-04-01 | Classified storage method and device for pictures and mobile terminal |
| PCT/CN2016/103575 WO2017166802A1 (en) | 2016-04-01 | 2016-10-27 | Method and device for classifying and storing photos, and mobile terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610203383.1A CN105912590A (en) | 2016-04-01 | 2016-04-01 | Classified storage method and device for pictures and mobile terminal |
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|---|---|
| CN105912590A true CN105912590A (en) | 2016-08-31 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201610203383.1A Pending CN105912590A (en) | 2016-04-01 | 2016-04-01 | Classified storage method and device for pictures and mobile terminal |
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| Country | Link |
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| CN (1) | CN105912590A (en) |
| WO (1) | WO2017166802A1 (en) |
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| CN106777334A (en) * | 2017-01-12 | 2017-05-31 | 珠海格力电器股份有限公司 | A kind of photo classification storage method, device and mobile terminal |
| CN106933966A (en) * | 2017-02-08 | 2017-07-07 | 捷开通讯(深圳)有限公司 | Photo sort management, device and its mobile terminal |
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| CN108304563A (en) * | 2018-02-08 | 2018-07-20 | 百度在线网络技术（北京）有限公司 | Image processing method, device and equipment |
| CN111163170A (en) * | 2019-12-31 | 2020-05-15 | 上海博泰悦臻电子设备制造有限公司 | Photo sharing method, system and server |
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| WO2017166802A1 (en) | 2017-10-05 |
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