CN105975612A - Picture processing method, device and equipment - Google Patents
Picture processing method, device and equipment Download PDFInfo
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- CN105975612A CN105975612A CN201610331774.1A CN201610331774A CN105975612A CN 105975612 A CN105975612 A CN 105975612A CN 201610331774 A CN201610331774 A CN 201610331774A CN 105975612 A CN105975612 A CN 105975612A
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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
- G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
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Abstract
The embodiment of the invention discloses a picture processing method, a device and equipment, wherein the method comprises the following steps: acquiring target information, wherein the target information is subject information representing a picture to be recommended; screening pictures in a database according to the target information to obtain a picture to be recommended; and putting the obtained pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme. The technical scheme provided by the embodiment of the invention can avoid the step of manually screening the pictures, avoid manually generating the same-theme picture set to be recommended, improve the picture screening efficiency and reduce certain manual resources.
Description
Technical field
The present invention relates to technical field of data processing, particularly relate to a kind of image processing method, device and equipment.
Background technology
Along with the development of the electronic equipments such as mobile phone, computer, panel computer, picture has become as in social platform and transmits
The major way of information, user is sent by the picture in electronic equipment or obtains information, be all one intuitively, side
Just transfer mode.At present, the mode sending picture in social platform has two kinds.First kind of way is the transmission that user is casual
The one group of picture oneself got, one group of picture includes at least one picture, such as the photo of user's current shooting, or uses
The picture etc. that family downloads to oneself like broadly falls into casual picture.The second way is that user or platform are clear and definite by one
Theme sends one group of same subject picture.It is the different pictures that can show same information with subject picture.
For the second way, user or platform send one group of same subject picture, as hot issue pictures, certain
One moving-picture collection, a certain scenery picture collection, a certain personage's pictures etc., be to be come by the picture in artificial screening data base
Obtain same subject picture, be also to think subjective judgment for whether entering to elect as same subject picture.For data volume in social platform
Ever-increasing picture, the efficiency manually carrying out screening is more and more lower, and be unfavorable in social platform between user is mutual.
Summary of the invention
Embodiments provide a kind of image processing method, device and equipment, can solve how to improve picture screening effect
The problem of rate.
Embodiment of the present invention first aspect provides a kind of image processing method, including:
Obtaining target information, described target information is to represent the subject information of picture to be recommended；
According to the picture in described target information garbled data storehouse, obtain described picture to be recommended；
Described picture to be recommended is put into Target Photo filling template, generates one group of same subject picture collection to be recommended.
In conjunction with first aspect, in the first possible embodiment of first aspect, sieve according to described target information described
Selecting the picture in data base, before obtaining described picture to be recommended, described method also includes:
Obtain the picture that user uploads；
Obtaining the pictorial information carried in the picture that described user uploads, described pictorial information is the information representing picture attribute；
The label of its corresponding picture is generated according to described pictorial information；
The picture described user uploaded and the label of its correspondence are supplied to described data base.
In conjunction with the first possible embodiment of first aspect, in the embodiment that the second of first aspect is possible, institute
Stating according to the picture in described target information garbled data storehouse, obtain described picture to be recommended, described method includes:
The label that described target information is corresponding with the picture in described data base is mated；
Using the picture that the match is successful as described picture to be recommended.
In conjunction with the embodiment that the second of first aspect is possible, in the third possible embodiment of first aspect, institute
State the picture using the match is successful to include as described picture to be recommended, described method:
When matching degree reaches predetermined matching degree, selecting the picture reaching described predetermined matching degree is picture to be selected；
When the number of described picture to be selected is not less than predetermined pictures number, using described picture to be selected as described picture to be recommended；
When the number of described picture to be selected exceedes described predetermined pictures number, select institute according to matching degree order from high to low
State the picture to be selected of predetermined pictures number as described picture to be recommended.
In conjunction with the embodiment that the second of first aspect is possible, in the 4th kind of possible embodiment of first aspect, institute
State the picture using the match is successful to include as described picture to be recommended, described method:
When matching degree reaches predetermined matching degree, selecting the picture reaching described predetermined matching degree is picture to be selected；
Obtain the picture quality degree that described picture to be selected is corresponding；
When the number of described picture to be selected is not less than predetermined pictures number, using described picture to be selected as described picture to be recommended；
When the number of described picture to be selected exceedes described predetermined pictures number, described picture quality degree is selected to reach pre-set image
The picture to be selected of quality degree is as described picture to be recommended.
In conjunction with the embodiment that the second of first aspect is possible, in the 5th kind of possible embodiment of first aspect, institute
State the picture using the match is successful to include as described picture to be recommended, described method:
When matching degree reaches predetermined matching degree, selecting the picture reaching described predetermined matching degree is picture to be selected；
Obtain the picture quality degree that described picture to be selected is corresponding；
When the number of described picture to be selected is not less than described predetermined pictures number, using described picture to be selected as described to be recommended
Picture；
When the number of described picture to be selected exceedes described predetermined pictures number, according to matching degree and the comprehensive mark of picture quality degree
Accurate selection meets the picture to be selected of described comprehensive standard as described picture to be recommended.
The third in conjunction with first aspect may be to the 5th kind of possible embodiment, in the 6th kind of possible reality of first aspect
Execute in mode, described, described picture to be recommended is put into Target Photo filling template, generate one group of same thematic map to be recommended
Before sheet collection, described method also includes:
Described Target Photo filling template is determined according to described predetermined pictures number；Or,
Described Target Photo filling template is determined according to described target information and described predetermined pictures number；Or,
Described Target Photo filling template is determined according to described target information and actual picture number.
In conjunction with first aspect, in the 7th kind of possible embodiment of first aspect, described Target Photo filling template includes
At least one frame information；
Described described picture to be recommended is put into Target Photo filling template, generate one group of same subject picture collection to be recommended, bag
Include:
The each frame information included according to described Target Photo filling template, puts into frame by corresponding for described picture to be recommended
In frame.
Embodiment of the present invention second aspect provides a kind of picture processing device, including:
Acquiring unit, is used for obtaining target information, and described target information being supplied to determine, unit, described target information are
Represent the subject information of picture to be recommended；
Described determine unit, for according to the picture of storage in described target information screening memory element, determining described to be recommended
Picture, and described picture to be recommended is supplied to signal generating unit；
Described signal generating unit, for described picture to be recommended is put into Target Photo filling template, generate one group to be recommended same
Subject picture collection.
In conjunction with second aspect, in the first possible embodiment of second aspect, described acquiring unit, it is additionally operable to obtain
The picture that user uploads, is supplied to described memory element by the picture that described user uploads；Obtain the picture that described user uploads
In the pictorial information that carries, described pictorial information is the information representing picture attribute；
Described signal generating unit, is additionally operable to generate the label of its corresponding picture according to described pictorial information, and by the picture of generation
Label is supplied to described memory element；
Described memory element, the label for the picture described user uploaded and its correspondence carries out mapping storage.
In conjunction with the first possible embodiment of second aspect, in the embodiment that the second of second aspect is possible, institute
State device also to include: matching unit；
Described matching unit, for mating the label that described target information is corresponding with the picture in described data base；
Described determine unit, be additionally operable to be defined as the picture that the match is successful described picture to be recommended.
In conjunction with the embodiment that the second of second aspect is possible, in the third possible embodiment of second aspect, institute
State and determine that unit includes: first selects module, and first determines module；
Described first selects module, for when matching degree reaches predetermined matching degree, selects to reach the figure of described predetermined matching degree
Sheet is picture to be selected；
Described first determines module, for when the number of described picture to be selected is not less than predetermined pictures number, by described to be selected
Picture is defined as described picture to be recommended；When the number of described picture to be selected exceedes described predetermined pictures number, according to coupling
Degree order from high to low selects the picture to be selected of described predetermined pictures number to be defined as described picture to be recommended.
In conjunction with the third possible embodiment of second aspect, in the 4th kind of possible embodiment of second aspect, institute
State and determine that unit also includes: second selects module, and second determines module, the first acquisition module；
Described second selects module, for when matching degree reaches predetermined matching degree, selects to reach the figure of described predetermined matching degree
Sheet is picture to be selected；
Described first acquisition module, for obtaining the picture quality degree that described picture to be selected is corresponding；
Second determines module, for when the number of described picture to be selected is not less than predetermined pictures number, by described picture to be selected
It is defined as described picture to be recommended；When the number of described picture to be selected exceedes described predetermined pictures number, select described image
Quality degree reaches the picture to be selected of pre-set image quality degree and is defined as described picture to be recommended.
In conjunction with the 4th kind of possible embodiment of second aspect, in the 5th kind of possible embodiment of second aspect, institute
State and determine that unit also includes: the 3rd selects module, and the 3rd determines module, the second acquisition module；
Described 3rd selects module, for when matching degree reaches predetermined matching degree, selects to reach the figure of described predetermined matching degree
Sheet is picture to be selected；
Described second acquisition module, for obtaining the picture quality degree that described picture to be selected is corresponding；
Described 3rd determines module, for when the number of described picture to be selected is not less than described predetermined pictures number, by described
Picture to be selected is defined as described picture to be recommended；When the number of described picture to be selected exceedes described predetermined pictures number, according to
The comprehensive standard of matching degree and picture quality degree selects the picture to be selected meeting described comprehensive standard to be defined as described figure to be recommended
Sheet.
In conjunction with the 5th kind of possible embodiment of second aspect, in the 6th kind of possible embodiment of second aspect,
Described described picture to be recommended is put into Target Photo filling template, before generating one group of same subject picture collection to be recommended, institute
State device also to include:
Described determine unit, be additionally operable to determine described Target Photo filling template according to described predetermined pictures number；Or, root
Described Target Photo filling template is determined according to described target information and described predetermined pictures number；Or, believe according to described target
Breath and actual picture number determine described Target Photo filling template.
In conjunction with second aspect, described Target Photo filling template includes at least one frame information；
Described signal generating unit, has each frame information for including according to described Target Photo filling template, by described
Corresponding the putting in framework of picture to be recommended.
The embodiment of the present invention third aspect provides a kind of image processing device, including: processor, memorizer, communication interface and
Bus；
Described processor, described memorizer and described communication interface are connected by described bus and complete mutual communicating；
Described memorizer storage executable program code；
Described processor runs and described executable program generation by reading the executable program code of storage in described memorizer
The program that code is corresponding, for performing a kind of image processing method；Wherein, described image processing method includes:
Obtaining target information, described target information is to represent the subject information of picture to be recommended；
According to the picture in described target information garbled data storehouse, obtain described picture to be recommended；
Described picture to be recommended is put into Target Photo filling template, generates one group of same subject picture collection to be recommended.
Embodiment of the present invention fourth aspect provides a kind of storage medium, and wherein, this storage medium is used for storing application program, institute
State application program for operationally performing a kind of image processing method described in the embodiment of the present invention.
The embodiment of the present invention the 5th aspect provides a kind of application program, and wherein, this application program is for operationally performing this
Described in bright embodiment a kind of image processing method.
It can be seen that use the technical scheme that the embodiment of the present invention provides, at the mesh getting the theme representing picture to be recommended
Mark information, and after getting picture to be recommended, picture to be recommended is put in Target Photo filling template, generates one group
Same subject picture collection to be recommended, can solve to avoid the step of artificial screening picture, and avoid manually generated to be recommended
With subject picture collection, while improving picture screening efficiency, moreover it is possible to reduce certain manual resource.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, in describing embodiment below, required use is attached
Figure is briefly described, it should be apparent that, the accompanying drawing in describing below is only some embodiments of the present invention, for ability
From the point of view of the those of ordinary skill of territory, on the premise of not paying creative work, it is also possible to obtain the attached of other according to these accompanying drawings
Figure.
Fig. 1 is the schematic diagram of a kind of network architecture that the embodiment of the present invention provides；
Fig. 2 is the schematic flow sheet of a kind of image processing method that embodiments of the invention provide；
Fig. 3 is the schematic flow sheet of the another kind of image processing method that embodiments of the invention provide；
Fig. 4 is the schematic flow sheet of another image processing method that embodiments of the invention provide；
Fig. 5 is the schematic flow sheet of another image processing method that embodiments of the invention provide；
Fig. 6 is the schematic flow sheet that embodiments of the invention provide a kind of image processing method；
Fig. 7 is the schematic flow sheet that embodiments of the invention provide also another image processing method；
Fig. 8 (a) is a kind of picture filling template easy structure figure in the image processing method that embodiments of the invention provide；
Fig. 8 (b) is another kind of picture filling template easy structure figure in the image processing method that embodiments of the invention provide；
Fig. 8 (c) is another picture filling template easy structure figure in the image processing method that embodiments of the invention provide；
Fig. 9 is the structural representation of a kind of picture processing device that embodiments of the invention provide；
Figure 10 is the structural representation of the another kind of picture processing device that embodiments of the invention provide；
Figure 11 is the structural representation of another picture processing device that embodiments of the invention provide；
Figure 12 is the structural representation of another picture processing device that embodiments of the invention provide；
Figure 13 is the structural representation that embodiments of the invention provide a kind of picture processing device；
Figure 14 is the structural representation of a kind of image processing device that embodiments of the invention provide.
Detailed description of the invention
Embodiments provide a kind of image processing method, device and equipment, can solve how to improve picture screening effect
The problem of rate.
In order to make those skilled in the art be more fully understood that the present invention program, below in conjunction with in the embodiment of the present invention
Accompanying drawing, is clearly and completely described the technical scheme in the embodiment of the present invention, it is clear that described embodiment is this
The embodiment of an invention part rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under not making creative work premise, all should belong to the scope of protection of the invention.
It is described in detail individually below.
Term " first ", " second ", " the 3rd " and " in description and claims of this specification and above-mentioned accompanying drawing
Four " it is etc. for distinguishing different object rather than for describing particular order.Additionally, term " includes " and " having "
And they any deformation, it is intended that cover non-exclusive comprising.Such as contain series of steps or the process of unit,
Method, system, product or equipment are not limited to step or the unit listed, but the most also include not listing
Step or unit, or the most also include other step intrinsic for these processes, method, product or equipment or unit.
One image processing method of the present invention, may include that acquisition target information, and target information is to represent picture to be recommended
Subject information；According to the picture in target information garbled data storehouse, obtain picture to be recommended；Picture to be recommended is put into target
Picture filling template, generates one group of same subject picture collection to be recommended.
Referring to Fig. 1, Fig. 1 is a kind of network architecture being possibly used for implementing embodiment of the present invention scheme.Shown in Fig. 1
In the network architecture, including: the terminal of uploading pictures；Storage picture, generate the Cloud Server of same subject picture collection to be recommended；
Can be used in network and several same thematic map to be recommended that can watch in this Cloud Server being authorized to of data transmission
The terminal of sheet collection.
For uploading pictures terminal by want the picture shared by network sharing to social platform, service for this social platform
The picture shared is preserved by Cloud Server, when after the target information getting the theme representing picture to be recommended, by this
Target information is gone to preserve in the data base of the picture shared and is screened, and obtains picture to be recommended, is then put by picture to be recommended
Enter Target Photo filling template, generate one group of same subject picture collection to be recommended.
Wherein, the terminal of the embodiment of the present invention can be that smart mobile phone, notebook computer, PDA (personal digital assistant), PAD are (flat
Plate computer), PMP (portable media player) etc. possess and process picture function and be able to access that the electronic installation of network, this
Inventive embodiments is not construed as limiting.
Cloud Server in the embodiment of the present invention can be to provide calculate service equipment, the composition of server include processor,
Hard disk, internal memory, system bus etc., server is similar with general computer architecture, but provides highly reliable owing to needing
Service, therefore requires higher at aspects such as disposal ability, stability, reliability, safety, extensibility, manageabilitys.
Refer to the schematic flow sheet that Fig. 2, Fig. 2 are a kind of image processing methods that one embodiment of the present of invention provides, as
Shown in Fig. 2, a kind of image processing method that one embodiment of the present of invention provides can include herein below:
S201, obtains target information, and this target information is to represent the subject information of picture to be recommended.
Subject information is for selecting the information of picture, and such as personage A (about the photo of mother), movable B is (about the Water-sprinkling Festival
Photo), scenic spot C (about the photo of Jiu Zhaigou).Illustrating with personage A, subject information includes picture/mb-type-woman,
Picture time: 2016/5/8.Optionally, main information also includes picture attention rate: point praise number of times reach more than 30 times/browse a little
The rate of hitting reaches more than 100 times/hop count and reaches 50 times with first-class.
S202, according to the picture in this target information garbled data storehouse, obtains picture to be recommended.
It is understood that picture to be recommended includes at least one pictures.
S203, puts into Target Photo filling template by this picture to be recommended, generates one group of same subject picture collection to be recommended.
It can be seen that use the technical scheme that the embodiment of the present invention provides, at the mesh getting the theme representing picture to be recommended
Mark information, and after getting picture to be recommended, picture to be recommended is put in Target Photo filling template, generates one group
Same subject picture collection to be recommended, can solve to avoid the step of artificial screening picture, and avoid manually generated to be recommended
With subject picture collection, while improving picture screening efficiency, moreover it is possible to reduce certain manual resource.
Optionally, in some possible embodiments of the present invention, according to the picture in target information garbled data storehouse, obtain
Before picture to be recommended, as it is shown on figure 3, image processing method can also include:
S301, obtains the picture that user uploads.
Here the picture that user uploads is the picture that user wants to share, and wherein, this picture can be that user is uploaded to social platform
Picture, in order to share with other people.Or this picture is that user is uploaded directly into picture and shares region, wherein picture
Share region to be used exclusively for storing user and want the data base of the picture shared.Picture is uploaded to picture and divides by usual user
Enjoy region, after being to wait for third party's screening, the picture that oneself is uploaded can be shared social platform.
S302, obtains the pictorial information carried in the picture that this user uploads.
Pictorial information is the information representing picture attribute, and picture attribute includes type, color keynote, source, attention rate etc..
It is understood that pictorial information at least includes but not limited to following a kind of information: picture/mb-type, picture color keynote, figure
People, picture attention rate belonging to sheet.
Cloud Server can pass through algorithm identification, is identified the picture uploaded, and obtains the Part I picture letter in picture
Breath.The algorithm of identification picture can be colour recognition algorithm, form recognizer, face recognition algorithms.Wherein Part I
Pictorial information includes the information that picture color keynote, picture/mb-type etc. are obtained by algorithm identification.It addition, user can be to figure
The brief introduction of sheet is edited, and this editor's information is together uploaded in company with picture, and therefore Cloud Server can also extract volume
The information of collecting, obtains Part II pictorial information, and wherein Part II pictorial information includes people belonging to picture, picture/mb-type, figure
Sheet theme (so-and-so movable, the picture of so-and-so landscape).Additionally, when picture is the picture having uploaded to social platform, permissible
Get the attention rate (point is praised number of times, browsed clicking rate, hop count etc.) of this picture, using picture attention rate as the 3rd
Divide pictorial information.By Part I pictorial information, Part II pictorial information, Part III pictorial information ... N section
Pictorial information collects, and obtains pictorial information.
S303, generates the label of its corresponding picture according to pictorial information.
The label of picture is used for classifying picture and identifying the general information of picture, in order to follow-up convenience is according to label
Carry out the picture screening needs of greater efficiency.
S304, picture user uploaded and the label of its correspondence are supplied to data base.
What deserves to be explained is, S301 to S304 can perform before S201, it is also possible to performed before S202, this
Bright not limiting, for convenience of explanation, Fig. 3 is illustrated that the flow chart performed before S201.
Optionally, in some possible embodiments of the present invention, according to the picture in target information garbled data storehouse, obtain
Picture to be recommended, image processing method also includes: S2021, is carried out by label corresponding with the picture in data base for target information
Coupling；S2022, using the picture that the match is successful as picture to be recommended.
Wherein, what S2022 included has multiple using the picture that the match is successful as the method for picture to be recommended, enumerates wherein at this
Four kinds of methods.
First method, as shown in Figure 4.
S401, when matching degree reaches predetermined matching degree, selecting the picture reaching predetermined matching degree is picture to be selected.
The present invention is not intended to the occurrence of predetermined matching degree.For example, predetermined matching degree can be 55%.Such as target information
Including picture/mb-type, picture color keynote, picture attention rate.The parameter that target information includes simultaneously is provided with weight proportion,
Such as picture/mb-type accounting weighs 0.5, and picture color keynote accounting weighs 0.3, and picture attention rate accounting weighs 0.2.
The label that target information is corresponding with the picture in data base is mated, as when finding picture/mb-type, picture color base
Adjust and parameter request consistent in target information, then both matching degrees be 80%.
S402, when the number of picture to be selected is not less than predetermined pictures number, using picture to be selected as picture to be recommended.
The general picture recommended has number to require, predetermined pictures number can obtain predetermined from Target Photo filling template
Number of pictures.
S403, when the number of picture to be selected exceedes predetermined pictures number, selects predetermined according to matching degree order from high to low
The picture to be selected of number of pictures is as picture to be recommended.
It can be seen that the number of the picture to be recommended selected by first method is equal to predetermined pictures number.
Second method, as shown in Figure 5.
S501, when matching degree reaches predetermined matching degree, selecting the picture reaching predetermined matching degree is picture to be selected.
S502, obtains the picture quality degree that picture to be selected is corresponding.
Picture quality degree can include fineness, definition, color saturation etc..
The parameter that target information includes simultaneously is provided with weight proportion, and such as fineness accounting weighs 0.3, definition accounting weight
0.35, color saturation accounting weighs 0.35.By obtaining fineness in picture to be selected, definition, color saturation, with
And the fineness in picture to be selected, definition, color saturation are multiplied by respective weight accounting, obtain the image that picture is corresponding
Quality degree.
S503, when the number of picture to be selected is not less than predetermined pictures number, using picture to be selected as picture to be recommended.
S504, when the number of picture to be selected exceedes predetermined pictures number, selects picture quality degree to reach pre-set image quality degree
Picture to be selected as picture to be recommended.
In like manner, the present invention is not intended to the occurrence of predetermined image quality degree.
It can be seen that in S304, when the number of picture to be selected exceedes predetermined pictures number, select picture quality degree to reach
As picture to be recommended, so there is three kinds of situations, the first situation, select image in the picture to be selected of pre-set image quality degree
Quality degree reaches the number of the picture to be selected of pre-set image quality degree less than predetermined pictures number；The second situation, selects image
Quality degree reaches the number of the picture to be selected of pre-set image quality degree equal to predetermined pictures number；The third situation, selects image
Quality degree reaches the number of the picture to be selected of pre-set image quality degree more than predetermined pictures number.
For the first situation, the number (i.e. actual picture number) of the picture to be recommended finally given is less than predetermined pictures number
During mesh, it is as the criterion with actual picture number.
For the second situation, actual picture number is exactly predetermined pictures number.
For the third situation, the number (i.e. actual picture number) of the picture to be recommended finally given is more than predetermined pictures number
During mesh, select the picture to be selected of described predetermined pictures number as waiting to push away according to the picture quality degree of picture order from high to low
Recommend picture.
The third method, as shown in Figure 6.
S601, when matching degree reaches predetermined matching degree, selecting the picture reaching predetermined matching degree is picture to be selected.
S602, obtains the picture quality degree that picture to be selected is corresponding.
S603, when the number of picture to be selected is not less than predetermined pictures number, using picture to be selected as picture to be recommended.
S604, when the number of picture to be selected exceedes predetermined pictures number, according to matching degree and the comprehensive standard of picture quality degree
Select to meet the picture to be selected of comprehensive standard as picture to be recommended.
First, the parameter that picture quality degree includes also has weight ratio weight, secondly, also has the right between matching degree and picture quality degree
Weight ratio value.
Whether comprehensive standard here includes a combined standard value, for weighing picture to be selected can be as picture to be recommended
Standard value.Wherein, matching degree corresponding for picture is multiplied by matching degree weighted value be multiplied by plus the picture quality degree that this picture is corresponding
Picture quality degree weighted value, obtains an integrated value, compares with combined standard value by this integrated value, when this integrated value not
During less than this combined standard value, represent and meet comprehensive standard, then the picture of this correspondence can be as picture to be recommended.
In like manner, there is the problem as second method, i.e. actual picture in the picture to be recommended obtained in the third method
Number and the magnitude relationship problem of predetermined pictures number, refer to the solution execution of second method.
4th kind of method, as shown in Figure 7.
S701, when matching degree reaches predetermined matching degree, selecting the picture reaching predetermined matching degree is picture to be selected.
S702, shows this picture to be selected in viewing area.
This picture to be selected is shown in viewing area, in order to user can select picture.
S703, receives the selection marker of user's input.
S704, using there is selection marker picture as picture to be recommended.
In the 4th kind of method, the number of picture to be recommended there is two ways in which, first kind of way, sets a predetermined pictures
Number retrains the number of pictures that user selects；The second way, is decided in its sole discretion the number of pictures of selection by user.
By foregoing description it can be seen that the present invention is by mating label corresponding for picture in data base with target information,
Can the selection picture to be recommended of intelligence, and remove subjective going manually from and screen picture.
In further example, when target information includes picture/mb-type-mother, picture time-2016/5/8, target information is passed through
The picture to be recommended obtained can show as follows:
Picture one: img01, label mother #/mum/mother#, 2016/5/8
Picture two: img02, label mother #/mum/mother#, 2016/5/8
Picture three: img03, label mother #/mum/mother#, 2016/5/8.
Then remove data base obtains img01, img02, img03 according to above-mentioned information.
Optionally, in some possible embodiments of the present invention, picture to be recommended is being put into Target Photo filling template,
Before generating one group of same subject picture collection to be recommended, image processing method also includes: how to determine Target Photo filling template
Mode:
First kind of way, determines Target Photo filling template according to predetermined pictures number.
The second way, determines Target Photo filling template according to target information and predetermined pictures number.
The third mode, determines Target Photo filling template according to target information and actual picture number.
Wherein, the information that target information includes, such as picture/mb-type, picture color keynote, picture attention rate.According to picture
Type selects to be suitable for putting the template of picture.
In the present invention, several picture filling template is enumerated.As shown in Fig. 8 (a), picture filling template is straight and narrow
Square.As shown in Fig. 8 (b), picture filling template is round die block.As shown in Fig. 8 (c), picture filling template is for having
Laterally picture and the template divided of longitudinal picture.
For the most above-mentioned three kinds of graphic templates illustrated, the picture/mb-type included when target information is personage, then prior applicability
The template that Fig. 8 (a) and Fig. 8 (b) illustrates, when picture to be recommended includes horizontal picture and longitudinal picture, the most preferentially fits
The template illustrated with Fig. 8 (c).
Optionally, in some possible embodiments of the present invention, picture to be recommended is put into Target Photo filling template, raw
Become one group of same subject picture collection to be recommended, including:
The each frame information included according to Target Photo filling template, puts into corresponding for picture to be recommended in framework.
It is understood that Target Photo filling template includes at least one frame information.Frame information can be time sequencing,
Can be picture size, can be picture attention rate order, can be picture light intensity, can be with in the picture of personage place
Scale, can also is that picture color gradual change degree etc..
For Fig. 8 (a), after determining 4 pictures to be recommended, can be according to the acquisition time of picture (during shooting
Between, download time etc.) before and after determine picture position.
For Fig. 8 (b), after determining 5 pictures to be recommended, can determine according to the height of picture attention rate
Picture position, is placed on obvious position by picture high for picture attention rate, and such as C region, picture attention rate is from high to low
Position may is that C ＞ A ＞ B ＞ D ＞ E.
For Fig. 8 (c), after determining 4 pictures to be recommended, when two, horizontal picture, vertical picture two occur
Zhang Shi, can put into picture, certain picture attention rate A ＞ D according to the size of picture；B ＞ C, two pictures with size
Position can be determined according to attention rate.
When determining the position in the Target Photo filling template of picture place according to picture light intensity, it is referred to position suitable
Sequence, such as " one " word, " Z " word, " N " word etc., grows from weak to strong light and arranges successively.For Fig. 8 (a), when being
During 4 pictures to be recommended, light grows from weak to strong and is followed successively by a-quadrant, B region, D region, C region, i.e. " Z " font.
When determining that picture place Target Photo is filled out according to the scale in the picture of personage place or picture color gradual change degree
During position in mold filling plate, it is referred to picture light intensity to determine Pictures location, repeats the most one by one at this.
Above-mentioned simply class lifts some common target informations, when there are other information, is referred to above-mentioned mode and determines
The position of picture place picture filling template.
The present invention can effectively solve the manpower that software operation personnel produce Cloud Server data base.By the calculation of automatization
Method identification picture feature, carries out classified finishing by particular picture.It is easy to picture precisely show, filters unwanted picture.With
Time this invention by rambling picture, screened by the multiple dimension of unified definition, solve the error of manpower subjectivity screening.
After screening picture obtains picture to be recommended, again can intelligent determining according to information such as picture/mb-type, picture attention rates
Graphic template combine these pictures to be recommended become one group with subject picture collection, improve generate the efficiency with subject picture collection and
Picture quality
In order to achieve the above object, the present invention also provides for a kind of picture processing device 90, as it is shown in figure 9, this device 90 wraps
Include acquiring unit 901, determine unit 902, signal generating unit 903, memory element 904.
Wherein, acquiring unit 901, it is used for obtaining target information, and target information is supplied to determine unit 902, target is believed
Breath is for representing the subject information of picture to be recommended.
Determine unit 902, for according to the picture of storage in target information screening memory element 904, determining picture to be recommended,
And picture to be recommended is supplied to signal generating unit 903.
Signal generating unit 903, for picture to be recommended is put into Target Photo filling template, generates one group of same theme to be recommended
Pictures.
Memory element 904, is used for storing picture, in order to determine that unit 902 therefrom selects picture to be recommended.
It can be seen that use the technical scheme that the embodiment of the present invention provides, at the mesh getting the theme representing picture to be recommended
Mark information, and after getting picture to be recommended, picture to be recommended is put in Target Photo filling template, generates one group
Same subject picture collection to be recommended, can solve to avoid the step of artificial screening picture, and avoid manually generated to be recommended
With subject picture collection, while improving picture screening efficiency, moreover it is possible to reduce certain manual resource.
Optionally, in some possible embodiments of the present invention, determining that unit 902 is according to target information garbled data storehouse
In picture determine picture to be recommended before, acquiring unit 901, be additionally operable to obtain the picture uploaded of user, user uploaded
Picture be supplied to memory element 904；Obtaining the pictorial information carried in the picture that user uploads, pictorial information is for representing figure
The information of sheet attribute.
Signal generating unit 903, is additionally operable to generate the label of its corresponding picture, and the label of the picture by generation according to pictorial information
It is supplied to memory element 904.
Memory element 904, the label for the picture this user uploaded and its correspondence carries out mapping storage.
Optionally, in some possible embodiments of the present invention, in signal generating unit 903, picture to be recommended is put into target figure
Sheet filling template, before generating one group of same subject picture collection to be recommended, determines unit 902, is additionally operable to according to predetermined pictures
Number determines Target Photo filling template；Or, determine Target Photo filling template according to target information and predetermined pictures number；
Or, determine Target Photo filling template according to target information and actual picture number.
Optionally, in some possible embodiments of the present invention, signal generating unit 903, have for filling out according to Target Photo
Each frame information that mold filling plate includes, puts into corresponding for picture to be recommended in framework.Wherein, Target Photo fills mould
Plate includes at least one frame information；
Further, the present invention also provides for a kind of picture processing device 100, and as shown in Figure 10, this device 100 also includes
Join unit 905.
Matching unit 905, for mating the label that target information is corresponding with the picture in data base；Then, it is determined that
Unit 902, for being defined as picture to be recommended by the picture that the match is successful.
Further, present invention additionally comprises a kind of picture processing device 110, as shown in figure 11, the determination in this device 110
Unit 902 includes the first selection module 9021, and first determines module 9022.
First selects module 9021, and for when matching degree reaches predetermined matching degree, selection reaches the picture of predetermined matching degree and is
Picture to be selected.
First determines module 9022, for when the number of picture to be selected is not less than predetermined pictures number, is determined by picture to be selected
For picture to be recommended；When the number of picture to be selected exceedes predetermined pictures number, select according to matching degree order from high to low
The picture to be selected of predetermined pictures number is defined as picture to be recommended.
Further, present invention additionally comprises a kind of picture processing device 120, as shown in figure 12, the determination in this device 120
Unit 902 includes the second selection module 9023, and second determines module 9024, the first acquisition module 9025.
Second selects module 9023, and for when matching degree reaches predetermined matching degree, selection reaches the picture of predetermined matching degree and is
Picture to be selected.
First acquisition module 9025, for obtaining the picture quality degree that picture to be selected is corresponding.
Second determines module 9024, for when the number of picture to be selected is not less than predetermined pictures number, is determined by picture to be selected
For picture to be recommended；When the number of picture to be selected exceedes predetermined pictures number, picture quality degree is selected to reach pre-set image matter
The picture to be selected measured is defined as picture to be recommended.
Further, present invention additionally comprises a kind of picture processing device 130, as shown in figure 13, the determination in this device 130
Unit 902 includes the 3rd selection module 9026, and the 3rd determines module 9027, the second acquisition module 9028.
3rd selects module 9026, and for when matching degree reaches predetermined matching degree, selection reaches the picture of predetermined matching degree and is
Picture to be selected；
Second acquisition module 9028, for obtaining the picture quality degree that picture to be selected is corresponding；
3rd determines module 9027, for when the number of picture to be selected is not less than predetermined pictures number, is determined by picture to be selected
For picture to be recommended；When the number of picture to be selected exceedes predetermined pictures number, comprehensive according to matching degree and picture quality degree
Standard selects the picture to be selected meeting comprehensive standard to be defined as picture to be recommended.
It should be noted that determine that, shown in above-mentioned Figure 11 to Figure 13, the modules and each that unit 902 includes
What module was corresponding realizes function, and the present invention can also include a kind of picture processing device, order really in this picture processing device
Unit 902 can include that the first selection module 9021, second selects module the 9023, the 3rd to select module 9026, first determine
Module 9022, second determine that module the 9024, the 3rd determines module the 9027, first acquisition module the 9025, second acquisition module
9028。
In the device of foregoing description, the detailed description of its functional realiey can refer to the description that the method side shown in Fig. 2 to Fig. 8 is corresponding,
This is no longer going to repeat them.
Further, the present invention also provides for a kind of image processing device 140, and as shown in figure 14, image processing device 140 can wrap
Include: processor 1401, memorizer 1402, communication interface 1403 and bus 1404；
Processor 1401, memorizer 1402 are connected with communication interface 1403 by bus 1404 and are completed mutual communicating；
Memorizer 1402 stores executable program code；
Processor 1401 runs and executable program code pair by reading the executable program code of storage in memorizer 1402
The program answered, for performing a kind of image processing method；Wherein, image processing method includes:
Obtaining target information, this target information is to represent the subject information of picture to be recommended；
According to the picture in this target information garbled data storehouse, obtain picture to be recommended；
This picture to be recommended is put into Target Photo filling template, generates one group of same subject picture collection to be recommended.
It can be seen that use the technical scheme that the embodiment of the present invention provides, at the mesh getting the theme representing picture to be recommended
Mark information, and after getting picture to be recommended, picture to be recommended is put in Target Photo filling template, generates one group
Same subject picture collection to be recommended, can solve to avoid the step of artificial screening picture, and avoid manually generated to be recommended
With subject picture collection, while improving picture screening efficiency, moreover it is possible to reduce certain manual resource.
What deserves to be explained is, in the present invention, image processing device can be Cloud Server.
The embodiment of the present invention additionally provides a kind of storage medium, and wherein, this storage medium is used for storing application program, described should
By program for operationally performing a kind of image processing method described in the embodiment of the present invention.
The embodiment of the present invention additionally provides a kind of application program, and wherein, this application program is real for operationally performing the present invention
Execute a kind of image processing method described in example.
It should be noted that for aforesaid each method embodiment, in order to be briefly described, therefore it is all expressed as a series of dynamic
Combining, but those skilled in the art should know, the present invention is not limited by described sequence of movement, because depending on
According to the present invention, some step can use other orders or carry out simultaneously.Secondly, those skilled in the art also should know
Knowing, embodiment described in this description belongs to preferred embodiment, involved action and module not necessarily this
Bright necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not has the portion described in detail in certain embodiment
Point, may refer to the associated description of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, can be real by another way
Existing.Such as, device embodiment described above is only that schematically the division of the most described unit, the most only one are patrolled
Volume function divides, actual can have when realizing other dividing mode, the most multiple unit or assembly can in conjunction with or can collect
Become to another system, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other
Conjunction or direct-coupling or communication connection can be the INDIRECT COUPLING by some interfaces, device or unit or communication connection, Ke Yishi
Electrically or other form.
The described unit illustrated as separating component can be or may not be physically separate, shows as unit
Parts can be or may not be physical location, i.e. may be located at a place, or can also be distributed to multiple network list
In unit.Some or all of unit therein can be selected according to the actual needs to realize the purpose of the present embodiment scheme.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it is also possible to be each
Individual unit is individually physically present, it is also possible to two or more unit are integrated in a unit.Above-mentioned integrated unit both may be used
To use the form of hardware to realize, it would however also be possible to employ the form of SFU software functional unit realizes.
If described integrated unit is using the form realization of SFU software functional unit and as independent production marketing or use, can
To be stored in a computer read/write memory medium.Based on such understanding, technical scheme is the most in other words
Completely or partially can embodying with the form of software product of part that prior art is contributed or this technical scheme,
This computer software product is stored in a storage medium, including some instructions with so that a computer equipment (can be individual
People's computer, server or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.And
Aforesaid storage medium includes: USB flash disk, read only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), portable hard drive, the various media that can store program code such as magnetic disc or CD.
The above, above example only in order to technical solution of the present invention to be described, is not intended to limit；Although with reference to aforementioned reality
Execute example the present invention has been described in detail, wherein, it will be understood by those within the art that: it still can be to front
State the technical scheme described in each embodiment to modify, or wherein portion of techniques feature is carried out equivalent；And these are repaiied
Change or replace, not making the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.
Claims (10)
1. an image processing method, it is characterised in that including:
Obtaining target information, described target information is to represent the subject information of picture to be recommended；
According to the picture in described target information garbled data storehouse, obtain described picture to be recommended；
Described picture to be recommended is put into Target Photo filling template, generates one group of same subject picture collection to be recommended.
Method the most according to claim 1, it is characterised in that described according in described target information garbled data storehouse
Picture, before obtaining described picture to be recommended, described method also includes:
Obtain the picture that user uploads；
Obtaining the pictorial information carried in the picture that described user uploads, described pictorial information is the information representing picture attribute；
The label of its corresponding picture is generated according to described pictorial information；
The picture described user uploaded and the label of its correspondence are supplied to described data base.
Method the most according to claim 2, it is characterised in that described according in described target information garbled data storehouse
Picture, obtains described picture to be recommended, and described method includes:
The label that described target information is corresponding with the picture in described data base is mated；
Using the picture that the match is successful as described picture to be recommended.
Method the most according to claim 3, it is characterised in that described using the picture that the match is successful as described to be recommended
Picture, described method includes:
When matching degree reaches predetermined matching degree, selecting the picture reaching described predetermined matching degree is picture to be selected；
When the number of described picture to be selected is not less than predetermined pictures number, using described picture to be selected as described picture to be recommended；
When the number of described picture to be selected exceedes described predetermined pictures number, select institute according to matching degree order from high to low
State the picture to be selected of predetermined pictures number as described picture to be recommended.
Method the most according to claim 3, it is characterised in that described using the picture that the match is successful as described to be recommended
Picture, described method includes:
When matching degree reaches predetermined matching degree, selecting the picture reaching described predetermined matching degree is picture to be selected；
Obtain the picture quality degree that described picture to be selected is corresponding；
When the number of described picture to be selected is not less than predetermined pictures number, using described picture to be selected as described picture to be recommended；
When the number of described picture to be selected exceedes described predetermined pictures number, described picture quality degree is selected to reach pre-set image
The picture to be selected of quality degree is as described picture to be recommended.
Method the most according to claim 3, it is characterised in that described using the picture that the match is successful as described to be recommended
Picture, described method includes:
When matching degree reaches predetermined matching degree, selecting the picture reaching described predetermined matching degree is picture to be selected；
Obtain the picture quality degree that described picture to be selected is corresponding；
When the number of described picture to be selected is not less than described predetermined pictures number, using described picture to be selected as described to be recommended
Picture；
When the number of described picture to be selected exceedes described predetermined pictures number, according to matching degree and the comprehensive mark of picture quality degree
Accurate selection meets the picture to be selected of described comprehensive standard as described picture to be recommended.
7. according to the method according to any one of claim 4 to 6, it is characterised in that described by described picture to be recommended
Putting into Target Photo filling template, before generating one group of same subject picture collection to be recommended, described method also includes:
Described Target Photo filling template is determined according to described predetermined pictures number；Or,
Described Target Photo filling template is determined according to described target information and described predetermined pictures number；Or,
Described Target Photo filling template is determined according to described target information and actual picture number.
Method the most according to claim 1, it is characterised in that described Target Photo filling template includes at least one frame
Frame information；
Described described picture to be recommended is put into Target Photo filling template, generate one group of same subject picture collection to be recommended, bag
Include:
The each frame information included according to described Target Photo filling template, puts into frame by corresponding for described picture to be recommended
In frame.
9. a picture processing device, it is characterised in that including:
Acquiring unit, is used for obtaining target information, and described target information being supplied to determine, unit, described target information are
Represent the subject information of picture to be recommended；
Described determine unit, for according to the picture of storage in described target information screening memory element, determining described to be recommended
Picture, and described picture to be recommended is supplied to signal generating unit；
Described signal generating unit, for described picture to be recommended is put into Target Photo filling template, generate one group to be recommended same
Subject picture collection.
10. an image processing device, it is characterised in that including: processor, memorizer, communication interface and bus；
Described processor, described memorizer and described communication interface are connected by described bus and complete mutual communicating；
Described memorizer storage executable program code；
Described processor runs and described executable program generation by reading the executable program code of storage in described memorizer
The program that code is corresponding, for performing a kind of image processing method；Wherein, described image processing method includes:
Obtaining target information, described target information is to represent the subject information of picture to be recommended；
According to the picture in described target information garbled data storehouse, obtain described picture to be recommended；
Described picture to be recommended is put into Target Photo filling template, generates one group of same subject picture collection to be recommended.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610331774.1A CN105975612A (en) | 2016-05-18 | 2016-05-18 | Picture processing method, device and equipment |
| PCT/CN2017/075748 WO2017197959A1 (en) | 2016-05-18 | 2017-03-06 | Image processing method, apparatus, and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610331774.1A CN105975612A (en) | 2016-05-18 | 2016-05-18 | Picture processing method, device and equipment |
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| CN105975612A true CN105975612A (en) | 2016-09-28 |
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| CN201610331774.1A Pending CN105975612A (en) | 2016-05-18 | 2016-05-18 | Picture processing method, device and equipment |
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| WO (1) | WO2017197959A1 (en) |
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| CN111552826B (en) * | 2020-05-06 | 2023-09-29 | 深圳市卡牛科技有限公司 | Example picture generation method and device, computer equipment and storage medium |
| CN111669620A (en) * | 2020-06-05 | 2020-09-15 | 北京字跳网络技术有限公司 | Theme video generation method and device, electronic equipment and readable storage medium |
| CN115205416A (en) * | 2022-08-12 | 2022-10-18 | 广州鼎甲计算机科技有限公司 | Image generation method and device, computer equipment and storage medium |
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| WO2017197959A1 (en) | 2017-11-23 |
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