CN109636711A - Comic book generation method, device and computer readable storage medium - Google Patents
Comic book generation method, device and computer readable storage medium Download PDFInfo
- Publication number
- CN109636711A CN109636711A CN201811279094.5A CN201811279094A CN109636711A CN 109636711 A CN109636711 A CN 109636711A CN 201811279094 A CN201811279094 A CN 201811279094A CN 109636711 A CN109636711 A CN 109636711A
- Authority
- CN
- China
- Prior art keywords
- images
- several
- image
- cartoon
- video frame
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 61
- 238000003860 storage Methods 0.000 title claims abstract description 13
- 238000006243 chemical reaction Methods 0.000 claims abstract description 56
- 239000000463 material Substances 0.000 claims description 30
- 238000010606 normalization Methods 0.000 claims description 22
- 238000009826 distribution Methods 0.000 claims description 21
- 238000004590 computer program Methods 0.000 claims description 11
- 238000013145 classification model Methods 0.000 claims description 8
- 230000015572 biosynthetic process Effects 0.000 claims description 7
- 238000003786 synthesis reaction Methods 0.000 claims description 7
- 238000010422 painting Methods 0.000 abstract description 6
- 238000013442 quality metrics Methods 0.000 abstract description 3
- 230000002123 temporal effect Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 7
- 238000012163 sequencing technique Methods 0.000 description 7
- 230000004048 modification Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000012706 support-vector machine Methods 0.000 description 2
- 241000251468 Actinopterygii Species 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013136 deep learning model Methods 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/04—Context-preserving transformations, e.g. by using an importance map
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Computational Biology (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Quality & Reliability (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
The present invention discloses a kind of comic book generation method, device and computer readable storage medium and determines that video to be converted, the video to be converted are made of several video frame images in the comic book generation method;Determine that image definition meets several target images of preset condition in several described video frame images;Several described target images are subjected to cartoon style conversion, generate several cartoon images;Several described cartoon images are synthesized into comic book according to preset format.In above scheme, Video Quality Metric to be converted can also be made comic book according to the idea of oneself even if user does not have foundation of painting for comic book, so that caricature creates simpler easy realization by selecting video to be converted by user.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of comic book generation methods, device and computer-readable
Storage medium.
Background technique
With the development of science and technology, the popularity rate of electronic equipment is higher and higher, and the reading form of user is also changed
Become, more user's selections are read using electronic equipment.In order to meet the reading requirement of user, many caricatures are used
It is issued on line, user can browse caricature by electronic equipment, considerably increase the convenience of reading.
In the prior art, caricature is usually the pre-rendered good caricature content of caricature author on line, then unrestrained by what is drawn
Draw content uploading publication, it is therefore desirable to which caricature author there must be certain foundation of painting, for the common use of not foundation of painting
For family, caricature creation cannot achieve.
Summary of the invention
In view of the above problems, it proposes on the present invention overcomes the above problem or at least be partially solved in order to provide one kind
State comic book generation method, device and the computer readable storage medium of problem.
In a first aspect, this specification embodiment provides a kind of comic book generation method, comprising:
Determine that video to be converted, the video to be converted are made of several video frame images;
Determine that image definition meets several target images of preset condition in several described video frame images;
Several described target images are subjected to cartoon style conversion, generate several cartoon images;
Several described cartoon images are synthesized into comic book according to preset format.
Optionally, after determination video to be converted, the method also includes:
According to trained image classification model, the image of every width video frame images in several described video frame images is determined
Classification;
Determine that described image classification belongs to several video frame images of pre-set image category set, as image to be converted;
Described several target images determined image definition in several described video frame images and meet preset condition,
Include:
The target image is determined in several described images to be converted.
Optionally, described several mesh determined image definition in several described video frame images and meet preset condition
Logo image, comprising:
Every width video frame images in several described video frame images are normalized, normalization brightness system is obtained
Number;
Gauss Distribution Fitting is carried out to the normalization luminance factor, obtain the features of every width video frame images to
Amount;
According to the feature vector of every width video frame images and trained image quality measure model, institute is determined
State the clarity score value of every width video frame images;
The video frame images that the clarity score value meets the preset condition are determined as target image.
Optionally, several described target images are subjected to cartoon style conversion described, before generating several cartoon images,
The method also includes:
According to the picture material of width target image every in several described target images, several described target images are gone
It handles again, obtains image after several duplicate removals;
It is described that several described target images are subjected to cartoon style conversion, generate several cartoon images, comprising:
Image after several described duplicate removals is subjected to cartoon style conversion, generates several described cartoon images.
Optionally, in described several target images according to every width target image picture material, to several described mesh
Logo image carries out duplicate removal processing, obtains image after several duplicate removals, comprising:
According to the picture material of width target image every in several described target images, determine between any two width target image
Image similarity;
According to described image similarity, multiple groups similar image set is determined, wherein be directed to the multiple groups similar image set
Every group of similar image set in include several similar images, the described image similarity between any two width similar image is equal
Greater than threshold value;
The image definition of several similar images described according to included in every group of similar image set, to described
Several described similar images in every group of similar image set carry out duplicate removal processing, obtain image after several described duplicate removals.
Optionally, several described target images are subjected to cartoon style conversion described, after generating several cartoon images,
The method also includes:
According to the picture material of several cartoon images, determination and every width cartoon image pair in several described cartoon images
That answers matches literary information;
The predeterminated position in every width cartoon image is added to literary information by described.
Optionally, described that several described target images are subjected to cartoon style conversion, generate several cartoon images, comprising:
Cartoon style conversion is carried out to several described target images using confrontation network, generates several described cartoon images.
Optionally, the preset format includes default caricature lattice distribution, and described several cartoon images by described in are according to default
Format synthesizes comic book, comprising:
Determine the temporal information of video frame images corresponding with every width cartoon image of several cartoon images;
By several described cartoon images according to the temporal information sequencing according to the default caricature lattice distribution into
Row sequence, generates the comic book.
Second aspect, this specification embodiment provide a kind of comic book generating means, comprising:
Video determining module, for determining that video to be converted, the video to be converted are made of several video frame images;
Target image determining module, for determining that image definition meets default item in several described video frame images
Several target images of part;
Image conversion module generates several cartoon images for several described target images to be carried out cartoon style conversion;
Synthesis module, for several described cartoon images to be synthesized comic book according to preset format.
Optionally, described device further include:
Categorization module, for according to trained image classification model, determining every width view in several described video frame images
The image category of frequency frame image;
First determining module, for determining that described image classification belongs to several video frame figures of pre-set image category set
Picture, as image to be converted;
The target image determining module is used for:
The target image is determined in several described images to be converted.
Optionally, the target image determining module is used for:
Every width video frame images in several described video frame images are normalized, normalization brightness system is obtained
Number;
Gauss Distribution Fitting is carried out to the normalization luminance factor, obtain the features of every width video frame images to
Amount;
According to the feature vector of every width video frame images and trained image quality measure model, institute is determined
State the clarity score value of every width video frame images;
The video frame images that the clarity score value meets the preset condition are determined as target image.
Optionally, described device further include:
Deduplication module, for the picture material according to every width target image in several described target images, to it is described several
Target image carries out duplicate removal processing, obtains image after several duplicate removals;
Described image conversion module is used for:
Image after several described duplicate removals is subjected to cartoon style conversion, generates several described cartoon images.
Optionally, the deduplication module is used for:
According to the clarity of width target image every in several described target images, determine between any two width target image
Image similarity;
According to described image similarity, multiple groups similar image set is determined, wherein be directed to the multiple groups similar image set
Every group of similar image set in include several similar images, the described image similarity between any two width similar image is equal
Greater than threshold value;
The image definition of several similar images described according to included in every group of similar image set, to described
Several described similar images in every group of similar image set carry out duplicate removal processing, obtain image after several described duplicate removals.
Optionally, described device further include:
Second determining module, for the picture material according to several cartoon images, determining and several described caricature figures
Every width cartoon image is corresponding with literary information as in;
Text adding module, for being added to the predeterminated position in every width cartoon image with literary information for described.
Optionally, described image conversion module is used for:
Processing module, for carrying out cartoon style conversion to several described target images using confrontation network, described in generation
Several cartoon images.
Optionally, the preset format includes default caricature lattice distribution, and the synthesis module is used for:
Determine the temporal information of video frame images corresponding with every width cartoon image of several cartoon images;
By several described cartoon images according to the temporal information sequencing according to the default caricature lattice distribution into
Row sequence, generates the comic book.
The third aspect, this specification embodiment provide a kind of comic book generating means, including memory, processor and storage
On a memory and the computer program that can run on a processor, the processor execute the step of any of the above-described the method
Suddenly.
Fourth aspect, this specification embodiment provide a kind of computer readable storage medium, are stored thereon with computer journey
Sequence, when which is executed by processor the step of realization any of the above-described the method.
This specification embodiment has the beneficial effect that:
In the scheme of this specification embodiment, comic book can be obtained by Video Quality Metric, in this specification embodiment
In the comic book generation method of offer, the material for generating comic book, the view to be converted are determined by determination video to be converted
Frequency is made of several video frame images;Determine that image definition meets the more of preset condition in several described video frame images
Width target image;Several described target images are subjected to cartoon style conversion, generate several cartoon images;It will several described caricatures
Image synthesizes comic book according to preset format.Therefore, in above scheme, user can be by selecting video to be converted, will be wait turn
Comic book can also be made according to the idea of oneself even if user does not have foundation of painting for comic book by changing Video Quality Metric, so that
Caricature creates simpler easy realization.
Detailed description of the invention
By reading the following detailed description of the preferred embodiment, various other advantages and benefits are common for this field
Technical staff will become clear.The drawings are only for the purpose of illustrating a preferred embodiment, and is not considered as to the present invention
Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings:
Fig. 1 is a kind of flow chart for comic book generation method that this specification embodiment first aspect provides;
Fig. 2 is the flow chart that target image is determined by image definition that this specification embodiment provides;
Fig. 3 is the schematic diagram for the comic book generating means that this specification embodiment second aspect provides;
Fig. 4 is the schematic diagram for the comic book generating means that this specification embodiment third aspect provides.
Specific embodiment
This specification embodiment discloses a kind of comic book generation method, device and computer readable storage medium, can
Comic book is generated by video, comic book can also be made even if the user of not foundation of painting, so that caricature creation is more
It is simple easily to realize.Comic book generation method comprises determining that video to be converted, and the video to be converted is by several video frame images groups
At;Determine that image definition meets several target images of preset condition in several described video frame images;It will be described more
Width target image carries out cartoon style conversion, generates several cartoon images;Several described cartoon images are closed according to preset format
At comic book.
Technical solution of the present invention is described in detail below by attached drawing and specific embodiment, it should be understood that the application
Specific features in embodiment and embodiment are the detailed description to technical scheme, rather than to present techniques
The restriction of scheme, in the absence of conflict, the technical characteristic in the embodiment of the present application and embodiment can be combined with each other.
The terms "and/or", only a kind of incidence relation for describing affiliated partner, indicates that there may be three kinds of passes
System, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, these three situations of individualism B.In addition, herein
Middle character "/" typicallys represent the relationship that forward-backward correlation object is a kind of "or".
Embodiment
In a first aspect, this specification embodiment provides a kind of comic book generation method, as shown in Figure 1, real for this specification
A kind of flow chart of comic book generation method of example offer is provided, method includes the following steps:
Step S11: determine that video to be converted, the video to be converted are made of several video frame images;
In this specification embodiment, video to be converted is the video for generating comic book, and video to be converted can be use
Family passes through the video that electronic equipment is voluntarily shot, and is also possible to the video that user is obtained by downloading, is also possible to other videos.
Video to be converted is made of several video frame images, and each width video frame images are a static image.
S12: determine that image definition meets several target images of preset condition in several described video frame images;
It should be understood that the quality for several video frame images that video to be converted is included is different, some video frames
Image is lower, and image effect is relatively fuzzy, can be low by picture quality in order to guarantee the display effect of the comic book ultimately produced
Video frame images are filtered, and determine that image definition meets the video frame images of preset condition.
In this specification embodiment, image definition can be obtained by a variety of calculations, for example, by using gradient function,
Variance function, quotient function etc..Calculate the image definition for every width video frame images that video to be converted is included, and by every width figure
Image sharpness is compared with preset condition, will meet the video frame images of preset condition as target image.Preset condition can
To be selected according to the actual situation, in one embodiment, preset condition is more than or equal to clarity threshold.
Step S13: several described target images are subjected to cartoon style conversion, generate several cartoon images;
In this specification embodiment, after target image has been determined, preprocessing process can be carried out to target image, it will
Pretreated target image carries out cartoon style conversion, generates cartoon image.The mode of cartoon style conversion can be according to reality
Border is selected, and in one embodiment, can carry out style conversion by way of fighting network.
Step S14: several described cartoon images are synthesized into comic book according to preset format.
It should be understood that comic book may include multiple format, such as when comic book is four lattice caricature, four lattice caricatures
Format is comprising there are four picture lattices, and when comic book overflows for item, the unrestrained format of item be the long figure of a width vertically read, long to scheme
In may include multiple picture lattices, when comic book overflows for page, the unrestrained format of page be include multipage, may include in every page
There are multiple picture lattices.According to the format of comic book, several cartoon images are filled in picture lattice, synthesize comic book.
Optionally, after determination video to be converted, the method also includes: according to trained image classification mould
Type determines the image category of every width video frame images in several described video frame images;It is default to determine that described image classification belongs to
Several video frame images of image category set, as image to be converted;It is described to be determined in several described video frame images
Image definition meets several target images of preset condition, comprising: the target is determined in several described images to be converted
Image.
It should be understood that the picture material for several video frame images that video to be converted includes can cover many aspects,
For example, video to be converted is the video that user plays basketball in sports ground, in the video, the content of some video frame images
Content for blue sky, some video frame images be ground, some video frame images content be sports ground ambient enviroment, some view
Frequency frame image is that user plays basketball etc..What these picture materials had can be used to generate comic book, and some generates comic book
Effect it is little, for example, in the above example, according to the video that user plays basketball in sports ground, picture material is ground
Therefore video frame images do not need to appear in comic book, the video frame images that picture material is ground can be removed.
In this specification embodiment, the available video frame images of comic book are generated in order to filter out, can first be regarded several
Frequency frame image carries out image classification, will generate comic book and be not necessarily to the image category used exclusion.Image classification can be according to preparatory
Trained image classification model is handled, such as CNN disaggregated model, using several video frame images as the defeated of model
Enter, image classification model can export the classification results of every width video frame images, i.e., the image category of every width video frame images.
Based on the image category of every width video frame images, the video that image category belongs to pre-set image category set is selected
Frame image, pre-set image category set can be user oneself setting, be also possible to the photographed subject according to video to be converted
Come what is determined, the more image category of the video frame images for including can also be, for example, counting under each image category and including
Quantity is greater than the image category of a threshold value as pre-set image classification by the quantity of video frame images.Pre-set image class will be met
The video frame images that do not gather are screened as image to be converted, are further determined by clarity for being overflow
The target image of painting style lattice conversion.
As shown in Fig. 2, for the flow chart for determining target image by image definition that this specification embodiment provides, packet
Include following steps.
S21: being normalized every width video frame images in several described video frame images, and it is bright to obtain normalization
Spend coefficient;
S22: Gauss Distribution Fitting is carried out to the normalization luminance factor, obtains the feature of every width video frame images
Vector;
S23: according to the feature vector of every width video frame images and trained image quality measure model, really
The clarity score value of fixed every width video frame images;
S24: the video frame images that the clarity score value meets the preset condition are determined as target image.
In this specification embodiment, brisque (Blind/Referenceless Image Spatial can be used
Quality Evaluator, the spatial domain image quality measure algorithm of no reference) determine the clarity of video frame images.
Firstly, doing normalized to every width video frame images in several video frame images, every width video frame figure is obtained
The normalization luminance factor (mean subtracted contrast normalized coefficients, MSCN) of picture.Its
In, for each pixel of video frame images, a normalization luminance factor, the normalization of video frame images can be calculated
Luminance factor can be the set of the normalization luminance factor of each pixel.Pass through the normalization luminance factor phase of video frame images
The clarity of video frame images is determined for the departure degree of the normalization luminance factor of natural image, wherein need to illustrate
, natural image is the image of untreated mistake, and the normalization brightness system of natural image meets Gaussian Profile.
Secondly, determining the feature of the normalization luminance factor of video frame images by Gaussian Profile.In one embodiment
In, for every width video frame images, the related information between the unconnected pixels on four direction joined for each pixel, i.e.,
It joined the pixel lower section, right, leading diagonal, the pixel related information on minor diagonal four direction, use is asymmetric
Generalized Gaussian distribution is fitted, and has obtained the feature vector of every width video frame images.
Finally, obtained feature vector is input in preparatory trained image quality measure model, every width view is obtained
The clarity score value of frequency frame image, in one embodiment, using preparatory trained support vector machines (Support
Vector Machine) it is used as image quality measure model, using feature vector as input, obtain the clear of every width video frame images
Clear degree score value.
According to the clarity score value of video frame images, the video frame images that the clarity score value is met preset condition are true
It is set to target image, wherein preset condition can be set according to actual needs, if preset condition is more than or equal to pre-
If clarity score value.
Optionally, several described target images are subjected to cartoon style conversion described, before generating several cartoon images,
The method also includes: according to the picture material of width target image every in several described target images, to several described target figures
As carrying out duplicate removal processing, image after several duplicate removals is obtained;It is described that several described target images are subjected to cartoon style conversion, it generates
Several cartoon images, comprising: image after several described duplicate removals is subjected to cartoon style conversion, generates several described cartoon images.
In this specification embodiment, if the time of one scene capture is longer when shooting video to be converted, then it can go out
The content of several existing video frame images is same or similar.For example, if user shooting be blue sky, due to blue sky variation more
Slowly, the content of the video frame images in most of shooting blue skies is relatively.But when generating comic book, do not need every width
Video frame images are all added to comic book, will cause the repetition of caricature content like that, increase the redundancy of caricature, thus can will in
Hold several same or similar video frame images and carry out duplicate removal processing, by image after the conduct duplicate removal for remaining image.
Optionally, in described several target images according to every width target image picture material, to several described mesh
Logo image carries out duplicate removal processing, obtains image after several duplicate removals, comprising: according to width target image every in several described target images
Picture material, determine the image similarity between any two width target image;According to described image similarity, multiple groups phase is determined
Like image collection, wherein for several similar diagrams for including in every group of similar image set of the multiple groups similar image set
Picture, the described image similarity between any two width similar image are all larger than threshold value;According in every group of similar image set
The image definition for several similar images for being included, to several similar diagrams described in every group of similar image set
As carrying out duplicate removal processing, image after several described duplicate removals is obtained.
It should be understood that duplicate removal processing can realize that this specification is without limitation in several ways.Implement at one
In example, image similarity can be determined by comparing the content of any two width target image, come further according to image similarity true
Whether this fixed two width target image is image similar in content.For example, when the similarity of two width target images is greater than 90%, really
This fixed two width video frame images are close image, and similar image is determined as one group of similar image set.
For several similar images for including in every group of similar image set, can be gone according to actual needs using different
Double recipe formula.For example, the reservation of one or more image can be randomly selected, the most image of picture material can also be retained, or
The maximum image of target object size for including in image retain etc. by person.It in one embodiment, can be at every group
It chooses the highest one or more similar image of clarity in similar image set to retain, remaining image is deleted, will be protected
The similar image stayed carries out cartoon style conversion as image after duplicate removal.
Optionally, described that several described target images are subjected to cartoon style conversion, generate several cartoon images, comprising:
Cartoon style conversion is carried out to several described target images using confrontation network, generates several described cartoon images.
Fighting network (Generative Adversarial Networks, GAN) is a kind of deep learning model, including
Generator and discriminator.In this specification embodiment, generator is used to target image carrying out cartoon style conversion, generates caricature
Whether image, discriminator will true cartoon image be much true for identifying the cartoon image of generator generation as reference
Real cartoon image.In one embodiment, cartoon style conversion is carried out using CycleGAN, i.e., using target image as
The input of CycleGAN, the output of CycleGAN are the cartoon image converted.
Optionally, several described target images are subjected to cartoon style conversion described, after generating several cartoon images,
The method also includes: it is determining unrestrained with every width in several described cartoon images according to the picture material of several cartoon images
It draws as corresponding with literary information;The predeterminated position in every width cartoon image is added to literary information by described.
In this specification embodiment, an image can be set with library, which, which matches, can wrap in library containing image
Content and corresponding with literary information, in addition, be directed to every kind of picture material, it is corresponding may include with literary information it is a plurality of.For example,
Image is blue sky in library with the picture material for including, it is corresponding with blue sky may include with literary information it is a plurality of, such as with text letter
1 " today is fine " is ceased, with literary information 2 " day height appoints bird to fly, and Hai Kuo is with fish dive ".It can be according in the image of cartoon image
Hold, image with determine in library it is corresponding can be determined at random with literary information with literary information, can also will be with cartoon image
It is corresponding all to carry out being displayed for user with literary information selecting.Certainly, user can also voluntarily input with literary information, this
In without limitation.
In this specification embodiment, every width cartoon image can be set predeterminated position for show with text information.It is default
Position can be default, such as predeterminated position is the upper left corner of every width cartoon image, and predeterminated position can also be random setting
's.Certainly, user can be with self-setting predeterminated position, for example, the predeterminated position to default carries out drag operation, so that with text
The display position of information is met the needs of users.
Optionally, the preset format includes default caricature lattice distribution, and described several cartoon images by described in are according to default
Format synthesizes comic book, comprising: determine corresponding with every width cartoon image of several cartoon images video frame images when
Between information;Several described cartoon images are carried out according to the sequencing of the temporal information according to the default caricature lattice distribution
Sequence, generates the comic book.
Generally, the event shot in video to be converted develops sequentially in time, in order to guarantee comic book
Caricature content meets the Development Logic of event, the temporal information of several available cartoon images, and several cartoon images are pressed
It is filled in default caricature lattice according to the sequencing of time.Comic book can wrap containing multiple default caricature lattice, preset unrestrained
The distribution of frame, which can be, to be pre-set, for example, the unrestrained caricature lattice of item be it is vertically disposed, preset the size of caricature lattice
It can be and set, or be automatically adjusted according to the size of content object in cartoon image, this specification
Embodiment is without limitation.
Second aspect, based on the same inventive concept, this specification embodiment provide a kind of comic book generating means, please refer to
Fig. 3, comprising:
Video determining module 31, for determining that video to be converted, the video to be converted are made of several video frame images;
Target image determining module 32, for determining that it is default that image definition meets in several described video frame images
Several target images of condition;
Image conversion module 33 generates several caricature figures for several described target images to be carried out cartoon style conversion
Picture;
Synthesis module 34, for several described cartoon images to be synthesized comic book according to preset format.
In a kind of optional implementation, described device further include:
Categorization module, for according to trained image classification model, determining every width view in several described video frame images
The image category of frequency frame image;
First determining module, for determining that described image classification belongs to several video frame figures of pre-set image category set
Picture, as image to be converted;
Target image determining module 32 is used for:
The target image is determined in several described images to be converted.
In a kind of optional implementation, target image determining module 32 is used for:
Every width video frame images in several described video frame images are normalized, normalization brightness system is obtained
Number;
Gauss Distribution Fitting is carried out to the normalization luminance factor, obtain the features of every width video frame images to
Amount;
According to the feature vector of every width video frame images and trained image quality measure model, institute is determined
State the clarity score value of every width video frame images;
The video frame images that the clarity score value meets the preset condition are determined as target image.
In a kind of optional implementation, described device further include:
Deduplication module, for the picture material according to every width target image in several described target images, to it is described several
Target image carries out duplicate removal processing, obtains image after several duplicate removals;
Image conversion synthesis module 33 is used for:
Image after several described duplicate removals is subjected to cartoon style conversion, generates several described cartoon images.
In a kind of optional implementation, the deduplication module is used for:
According to the clarity of width target image every in several described target images, determine between any two width target image
Image similarity;
According to described image similarity, multiple groups similar image set is determined, wherein be directed to the multiple groups similar image set
Every group of similar image set in include several similar images, the described image similarity between any two width similar image is equal
Greater than threshold value;
The image definition of several similar images described according to included in every group of similar image set, to described
Several described similar images in every group of similar image set carry out duplicate removal processing, obtain image after several described duplicate removals.
In a kind of optional implementation, described device further include:
Second determining module, for the picture material according to several cartoon images, determining and several described caricature figures
Every width cartoon image is corresponding with literary information as in;
Text adding module, for being added to the predeterminated position in every width cartoon image with literary information for described.
In a kind of optional implementation, image conversion module 33 is used for:
Processing module, for carrying out cartoon style conversion to several described target images using confrontation network, described in generation
Several cartoon images.
In a kind of optional implementation, the preset format includes default caricature lattice distribution, and synthesis module 34 is used for:
Determine the temporal information of video frame images corresponding with every width cartoon image of several cartoon images;
By several described cartoon images according to the temporal information sequencing according to the default caricature lattice distribution into
Row sequence, generates the comic book.
About above-mentioned apparatus, wherein the concrete function of modules is generated in comic book provided in an embodiment of the present invention
It is described in detail in the embodiment of method, no detailed explanation will be given here.
The third aspect is based on inventive concept same as comic book generation method in previous embodiment, the present invention also provides
A kind of comic book generating means, as shown in figure 4, including memory 504, processor 502 and being stored on memory 504 and can be
The computer program run on processor 502, the processor 502 realize that comic book described previously generates when executing described program
The step of either method method.
Wherein, in Fig. 4, bus architecture (is represented) with bus 500, and bus 500 may include any number of interconnection
Bus and bridge, bus 500 will include the one or more processors represented by processor 502 and what memory 504 represented deposits
The various circuits of reservoir link together.Bus 500 can also will peripheral equipment, voltage-stablizer and management circuit etc. it
Various other circuits of class link together, and these are all it is known in the art, therefore, no longer carry out further to it herein
Description.Bus interface 506 provides interface between bus 500 and receiver 501 and transmitter 503.Receiver 501 and transmitter
503 can be the same element, i.e. transceiver, provide the unit for communicating over a transmission medium with various other devices.Place
It manages device 502 and is responsible for management bus 500 and common processing, and memory 504 can be used for storage processor 502 and execute behaviour
Used data when making.
Fourth aspect, based on the inventive concept based on comic book generation method in previous embodiment, the present invention also provides
A kind of computer readable storage medium, is stored thereon with computer program, which realizes described previously when being executed by processor
The step of based on either comic book generation method method.
This specification is referring to the method, equipment (system) and computer program product according to this specification embodiment
Flowchart and/or the block diagram describes.It should be understood that can be realized by computer program instructions every in flowchart and/or the block diagram
The combination of process and/or box in one process and/or box and flowchart and/or the block diagram.It can provide these computers
Processor of the program instruction to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices
To generate a machine, so that generating use by the instruction that computer or the processor of other programmable data processing devices execute
In setting for the function that realization is specified in one or more flows of the flowchart and/or one or more blocks of the block diagram
It is standby.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of equipment, the commander equipment realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Invention additionally discloses A1, a kind of comic book generation method, which comprises
Determine that video to be converted, the video to be converted are made of several video frame images;
Determine that image definition meets several target images of preset condition in several described video frame images;
Several described target images are subjected to cartoon style conversion, generate several cartoon images;
Several described cartoon images are synthesized into comic book according to preset format.
A2, comic book generation method according to a1, after determination video to be converted, the method is also wrapped
It includes:
According to trained image classification model, the image of every width video frame images in several described video frame images is determined
Classification;
Determine that described image classification belongs to several video frame images of pre-set image category set, as image to be converted;
Described several target images determined image definition in several described video frame images and meet preset condition,
Include:
The target image is determined in several described images to be converted.
A3, comic book generation method according to a1, it is described to determine that image is clear in several described video frame images
It is clear to spend several target images for meeting preset condition, comprising:
Every width video frame images in several described video frame images are normalized, normalization brightness system is obtained
Number;
Gauss Distribution Fitting is carried out to the normalization luminance factor, obtain the features of every width video frame images to
Amount;
According to the feature vector of every width video frame images and trained image quality measure model, institute is determined
State the clarity score value of every width video frame images;
The video frame images that the clarity score value meets the preset condition are determined as target image.
Several described target images are carried out cartoon style turn described by A4, comic book generation method according to a1
It changes, before generating several cartoon images, the method also includes:
According to the picture material of width target image every in several described target images, several described target images are gone
It handles again, obtains image after several duplicate removals;
It is described that several described target images are subjected to cartoon style conversion, generate several cartoon images, comprising:
Image after several described duplicate removals is subjected to cartoon style conversion, generates several described cartoon images.
A5, comic book generation method according to a4, every width target image in described several target images according to
Picture material, to several described target images carry out duplicate removal processing, obtain several duplicate removal images, comprising:
According to the picture material of width target image every in several described target images, determine between any two width target image
Image similarity;
According to described image similarity, multiple groups similar image set is determined, wherein be directed to the multiple groups similar image set
Every group of similar image set in include several similar images, the described image similarity between any two width similar image is equal
Greater than threshold value;
The image definition of several similar images described according to included in every group of similar image set, to described
Several described similar images in every group of similar image set carry out duplicate removal processing, obtain image after several described duplicate removals.
Several described target images are carried out cartoon style turn described by A6, comic book generation method according to a1
It changes, after generating several cartoon images, the method also includes:
According to the picture material of several cartoon images, determination and every width cartoon image pair in several described cartoon images
That answers matches literary information;
The predeterminated position in every width cartoon image is added to literary information by described.
A7, comic book generation method according to a1, it is described that several described target images are subjected to cartoon style conversion,
Generate several cartoon images, comprising:
Cartoon style conversion is carried out to several described target images using confrontation network, generates several described cartoon images.
A8, comic book generation method according to a1, the preset format includes default caricature lattice distribution, described by institute
It states several cartoon images and synthesizes comic book according to preset format, comprising:
Determine the temporal information of video frame images corresponding with every width cartoon image of several cartoon images;
By several described cartoon images according to the temporal information sequencing according to the default caricature lattice distribution into
Row sequence, generates the comic book.
B9, a kind of comic book generating means, described device include:
Video determining module, for determining that video to be converted, the video to be converted are made of several video frame images;
Target image determining module, for determining that image definition meets default item in several described video frame images
Several target images of part;
Image conversion module generates several cartoon images for several described target images to be carried out cartoon style conversion;
Synthesis module, for several described cartoon images to be synthesized comic book according to preset format.
B10, the comic book generating means according to B9, described device further include:
Categorization module, for according to trained image classification model, determining every width view in several described video frame images
The image category of frequency frame image;
First determining module, for determining that described image classification belongs to several video frame figures of pre-set image category set
Picture, as image to be converted;
The target image determining module is used for:
The target image is determined in several described images to be converted.
B11, the comic book generating means according to B9, the target image determining module are used for:
Every width video frame images in several described video frame images are normalized, normalization brightness system is obtained
Number;
Gauss Distribution Fitting is carried out to the normalization luminance factor, obtain the features of every width video frame images to
Amount;
According to the feature vector of every width video frame images and trained image quality measure model, institute is determined
State the clarity score value of every width video frame images;
The video frame images that the clarity score value meets the preset condition are determined as target image.
B12, the comic book generating means according to B9, described device further include:
Deduplication module, for the picture material according to every width target image in several described target images, to it is described several
Target image carries out duplicate removal processing, obtains image after several duplicate removals;
Described image conversion module is used for:
Image after several described duplicate removals is subjected to cartoon style conversion, generates several described cartoon images.
B13, comic book generating means according to b12, the deduplication module are used for:
According to the clarity of width target image every in several described target images, determine between any two width target image
Image similarity;
According to described image similarity, multiple groups similar image set is determined, wherein be directed to the multiple groups similar image set
Every group of similar image set in include several similar images, the described image similarity between any two width similar image is equal
Greater than threshold value;
The image definition of several similar images described according to included in every group of similar image set, to described
Several described similar images in every group of similar image set carry out duplicate removal processing, obtain image after several described duplicate removals.
B14, the comic book generating means according to B9, described device further include:
Second determining module, for the picture material according to several cartoon images, determining and several described caricature figures
Every width cartoon image is corresponding with literary information as in;
Text adding module, for being added to the predeterminated position in every width cartoon image with literary information for described.
B15, the comic book generating means according to B9, described image conversion module are used for:
Processing module, for carrying out cartoon style conversion to several described target images using confrontation network, described in generation
Several cartoon images.
B16, the comic book generating means according to B9, the preset format include default caricature lattice distribution, the conjunction
It is used at module:
Determine the temporal information of video frame images corresponding with every width cartoon image of several cartoon images;
By several described cartoon images according to the temporal information sequencing according to the default caricature lattice distribution into
Row sequence, generates the comic book.
C17, a kind of comic book generating means, including memory, processor and storage are on a memory and can be in processor
The step of computer program of upper operation, the processor realizes any one of 1-8 the method when executing described program.
D18, a kind of computer readable storage medium, are stored thereon with computer program, when which is executed by processor
The step of realizing any one of A1-A8 the method.
Claims (10)
1. a kind of comic book generation method, which is characterized in that the described method includes:
Determine that video to be converted, the video to be converted are made of several video frame images;
Determine that image definition meets several target images of preset condition in several described video frame images;
Several described target images are subjected to cartoon style conversion, generate several cartoon images;
Several described cartoon images are synthesized into comic book according to preset format.
2. comic book generation method according to claim 1, which is characterized in that after determination video to be converted,
The method also includes:
According to trained image classification model, the image class of every width video frame images in several described video frame images is determined
Not;
Determine that described image classification belongs to several video frame images of pre-set image category set, as image to be converted;
Described several target images determined image definition in several described video frame images and meet preset condition, packet
It includes:
The target image is determined in several described images to be converted.
3. comic book generation method according to claim 1, which is characterized in that described in several described video frame images
Determine that image definition meets several target images of preset condition, comprising:
Every width video frame images in several described video frame images are normalized, normalization luminance factor is obtained;
Gauss Distribution Fitting is carried out to the normalization luminance factor, obtains the feature vector of every width video frame images;
According to the feature vector of every width video frame images and trained image quality measure model, determine described every
The clarity score value of width video frame images;
The video frame images that the clarity score value meets the preset condition are determined as target image.
4. comic book generation method according to claim 1, which is characterized in that it is described will several described target images into
The conversion of row cartoon style, before generating several cartoon images, the method also includes:
According to the picture material of width target image every in several described target images, several described target images are carried out at duplicate removal
Reason, obtains image after several duplicate removals;
It is described that several described target images are subjected to cartoon style conversion, generate several cartoon images, comprising:
Image after several described duplicate removals is subjected to cartoon style conversion, generates several described cartoon images.
5. comic book generation method according to claim 4, which is characterized in that in described several target images according to
The picture material of every width target image carries out duplicate removal processing to several described target images, obtains several duplicate removal images, comprising:
According to the picture material of width target image every in several described target images, the figure between any two width target image is determined
As similarity;
According to described image similarity, multiple groups similar image set is determined, wherein for the every of the multiple groups similar image set
Several similar images for including in similar image set are organized, the described image similarity between any two width similar image is all larger than
Threshold value;
The image definition of several similar images described according to included in every group of similar image set, to described every group
Several described similar images in similar image set carry out duplicate removal processing, obtain image after several described duplicate removals.
6. comic book generation method according to claim 1, which is characterized in that it is described will several described target images into
The conversion of row cartoon style, after generating several cartoon images, the method also includes:
According to the picture material of several cartoon images, determination is corresponding with every width cartoon image in several described cartoon images
With literary information;
The predeterminated position in every width cartoon image is added to literary information by described.
7. comic book generation method according to claim 1, which is characterized in that described to carry out several described target images
Cartoon style conversion, generates several cartoon images, comprising:
Cartoon style conversion is carried out to several described target images using confrontation network, generates several described cartoon images.
8. a kind of comic book generating means, which is characterized in that described device includes:
Video determining module, for determining that video to be converted, the video to be converted are made of several video frame images;
Target image determining module, for determining that image definition meets preset condition in several described video frame images
Several target images;
Image conversion module generates several cartoon images for several described target images to be carried out cartoon style conversion;
Synthesis module, for several described cartoon images to be synthesized comic book according to preset format.
9. a kind of comic book generating means, which is characterized in that including memory, processor and store on a memory and can locate
The computer program run on reason device, the processor realize any one of claim 1-7 the method when executing described program
The step of.
10. a kind of computer readable storage medium, which is characterized in that be stored thereon with computer program, the program is by processor
The step of any one of claim 1-7 the method is realized when execution.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811279094.5A CN109636711B (en) | 2018-10-30 | 2018-10-30 | Cartoon album generating method, cartoon album generating device and computer readable storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811279094.5A CN109636711B (en) | 2018-10-30 | 2018-10-30 | Cartoon album generating method, cartoon album generating device and computer readable storage medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109636711A true CN109636711A (en) | 2019-04-16 |
CN109636711B CN109636711B (en) | 2024-09-17 |
Family
ID=66066901
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811279094.5A Active CN109636711B (en) | 2018-10-30 | 2018-10-30 | Cartoon album generating method, cartoon album generating device and computer readable storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109636711B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111429341A (en) * | 2020-03-27 | 2020-07-17 | 咪咕文化科技有限公司 | Video processing method, video processing equipment and computer readable storage medium |
CN117252966A (en) * | 2023-11-20 | 2023-12-19 | 湖南快乐阳光互动娱乐传媒有限公司 | Dynamic cartoon generation method and device, storage medium and electronic equipment |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20090007909A (en) * | 2007-07-16 | 2009-01-21 | 연세대학교 산학협력단 | Method and apparatus for creating caricature video |
CN102014252A (en) * | 2010-12-06 | 2011-04-13 | 无敌科技(西安)有限公司 | Display system and method for converting image video into pictures with image illustration |
US20120257876A1 (en) * | 2011-04-07 | 2012-10-11 | Infosys Technologies, Ltd. | Method and system for generating at least one of: comic strips and storyboards from videos |
CN104244113A (en) * | 2014-10-08 | 2014-12-24 | 中国科学院自动化研究所 | Method for generating video abstract on basis of deep learning technology |
US20170242833A1 (en) * | 2016-02-20 | 2017-08-24 | ComicFlix, Inc. | Systems and Methods to Generate Comic Books or Graphic Novels from Videos |
CN108320319A (en) * | 2018-02-02 | 2018-07-24 | 广东蜂助手网络技术股份有限公司 | A kind of caricature synthetic method, device, equipment and computer readable storage medium |
-
2018
- 2018-10-30 CN CN201811279094.5A patent/CN109636711B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20090007909A (en) * | 2007-07-16 | 2009-01-21 | 연세대학교 산학협력단 | Method and apparatus for creating caricature video |
CN102014252A (en) * | 2010-12-06 | 2011-04-13 | 无敌科技(西安)有限公司 | Display system and method for converting image video into pictures with image illustration |
US20120257876A1 (en) * | 2011-04-07 | 2012-10-11 | Infosys Technologies, Ltd. | Method and system for generating at least one of: comic strips and storyboards from videos |
CN104244113A (en) * | 2014-10-08 | 2014-12-24 | 中国科学院自动化研究所 | Method for generating video abstract on basis of deep learning technology |
US20170242833A1 (en) * | 2016-02-20 | 2017-08-24 | ComicFlix, Inc. | Systems and Methods to Generate Comic Books or Graphic Novels from Videos |
CN108320319A (en) * | 2018-02-02 | 2018-07-24 | 广东蜂助手网络技术股份有限公司 | A kind of caricature synthetic method, device, equipment and computer readable storage medium |
Non-Patent Citations (5)
Title |
---|
ANISH MITTAL等: "No-Reference Image Quality Assessment in the Spatial Domain", 《IEEE TRANSACTIONS ON IMAGE PROCESSING》, vol. 21, no. 12, pages 1 * |
MENG WANG等: "Movie2Comics:Towards a Lively Video Content Presentation", 《IEEE TRANSACTIONS ON MULTIMEDIA》, vol. 14, no. 3, pages 4 - 6 * |
WEI-TA CHU等: "Optimized Comics-Based Storytelling for Temporal Image Sequences", 《IEEE TRANSACTIONS ON MULTIMEDIA》, vol. 17, no. 2, pages 201 - 125 * |
卢倩雯等: "基于生成对抗网络的漫画草稿图简化", 《自动化学报》, vol. 44, no. 05, pages 840 - 854 * |
罗新高: "基于SimHash的海量视频检索研究", 《中国优秀硕士论文全文数据库 信息科技辑》, pages 3 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111429341A (en) * | 2020-03-27 | 2020-07-17 | 咪咕文化科技有限公司 | Video processing method, video processing equipment and computer readable storage medium |
CN111429341B (en) * | 2020-03-27 | 2023-08-18 | 咪咕文化科技有限公司 | Video processing method, device and computer readable storage medium |
CN117252966A (en) * | 2023-11-20 | 2023-12-19 | 湖南快乐阳光互动娱乐传媒有限公司 | Dynamic cartoon generation method and device, storage medium and electronic equipment |
CN117252966B (en) * | 2023-11-20 | 2024-01-30 | 湖南快乐阳光互动娱乐传媒有限公司 | Dynamic cartoon generation method and device, storage medium and electronic equipment |
Also Published As
Publication number | Publication date |
---|---|
CN109636711B (en) | 2024-09-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109670558B (en) | Digital image completion using deep learning | |
US11334971B2 (en) | Digital image completion by learning generation and patch matching jointly | |
US20220383649A1 (en) | System and method for facilitating graphic-recognition training of a recognition model | |
Song et al. | Objectstitch: Object compositing with diffusion model | |
CN103988202B (en) | Image attraction based on index and search | |
CN110097086A (en) | Image generates model training method, image generating method, device, equipment and storage medium | |
US11620480B2 (en) | Learning method, computer program, classifier, and generator | |
CN106575450A (en) | Augmented reality content rendering via albedo models, systems and methods | |
CN110555527A (en) | Method and equipment for generating delayed shooting video | |
CN110832583A (en) | System and method for generating a summary storyboard from a plurality of image frames | |
US11393144B2 (en) | System and method for rendering an image | |
CN115735230A (en) | View synthesis robust to unconstrained image data | |
CN114339409B (en) | Video processing method, device, computer equipment and storage medium | |
JP7247587B2 (en) | Image style conversion device, image style conversion method, and program | |
CN105122272A (en) | Automatic curation of digital images | |
CN108604389A (en) | continuous depth ordering image synthesis | |
Song et al. | Objectstitch: Generative object compositing | |
CN108259949A (en) | Method, apparatus and electronic equipment are recommended in a kind of advertisement | |
WO2024131565A1 (en) | Garment image extraction method and apparatus, and device, medium and product | |
CN109636711A (en) | Comic book generation method, device and computer readable storage medium | |
US8407575B1 (en) | Video content summary | |
Sun et al. | Learning adaptive patch generators for mask-robust image inpainting | |
CN109510943A (en) | Method and apparatus for shooting image | |
CN108833989A (en) | A kind of method and apparatus that barrage is generated and shown | |
CN104751454B (en) | A kind of method and apparatus for being used to determine the character contour in image |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |