CN104469545B - A kind of method and apparatus for examining video segment cutting effect - Google Patents
A kind of method and apparatus for examining video segment cutting effect Download PDFInfo
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- CN104469545B CN104469545B CN201410810405.1A CN201410810405A CN104469545B CN 104469545 B CN104469545 B CN 104469545B CN 201410810405 A CN201410810405 A CN 201410810405A CN 104469545 B CN104469545 B CN 104469545B
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- 238000005520 cutting process Methods 0.000 title claims abstract description 169
- 230000000694 effects Effects 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000007689 inspection Methods 0.000 claims abstract description 11
- 238000010586 diagram Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 9
- 238000004590 computer program Methods 0.000 description 7
- 239000012634 fragment Substances 0.000 description 6
- 230000008901 benefit Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
- H04N21/845—Structuring of content, e.g. decomposing content into time segments
- H04N21/8456—Structuring of content, e.g. decomposing content into time segments by decomposing the content in the time domain, e.g. in time segments
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/439—Processing of audio elementary streams
- H04N21/4394—Processing of audio elementary streams involving operations for analysing the audio stream, e.g. detecting features or characteristics in audio streams
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a kind of method and apparatus for examining video segment cutting effect, wherein, method comprises the following steps：Obtain cutting feature used in the video segment being split；According to the cutting feature of acquisition and the weight of default cutting feature, the cutting accuracy rate of the video segment is calculated；When the cutting accuracy rate of the video segment is less than predetermined threshold value, determine that the cutting of the video segment is unqualified.The present invention obtains the cutting accuracy rate of video segment by the cutting feature and the corresponding accuracy rate of cutting feature of video segment, it is achieved thereby that the inspection of the cutting effect to video segment.
Description
Technical field
The present invention relates to video field, more particularly, to a kind of method and apparatus for examining video segment cutting effect.
Background technology
Either on computers, or on the mobile terminal such as smart mobile phone, tablet personal computer, video playback is all that user makes
With more function.
Video provider is experienced to provide the user with flexible viewing, it usually needs video is carried out into cutting, example
Such as, one section of halfhour news program is subjected to cutting according to different contents, is divided into multiple independent news footages, it is convenient
User selects the news footage for oneself wanting to see.
Video slicing can be carried out by the means of human-edited., can also be further in order to improve cutting efficiency
Cutting is carried out to video using by modes such as face, sound or captions.For example, identifying personage by face and sound, really
Determine character, by taking news as an example, such as host, outdoor scene host, outdoor scene welcome guest etc..Role and title etc. can also be believed
Breath is combined, and determines content switching position, and the switching position is the position of video slicing, for example, the switching of host is usually interior
Hold switching, the switching of host to outdoor scene host is still generally a content.
When carrying out video slicing using aforesaid way, the cutting effect for how judging video segment is one urgently to be resolved hurrily
The problem of.
The content of the invention
In view of this, the purpose of the embodiment of the present invention is the method and dress for proposing a kind of inspection video segment cutting effect
Put, it can verify that whether the video segment after cutting is qualified.
In order to achieve the above object, the embodiment of the present invention proposes a kind of method for examining video segment cutting effect, including
Following steps：
Obtain cutting feature used in the video segment being split；
According to the cutting feature of acquisition and the weight of default cutting feature, the cutting for calculating the video segment is accurate
Rate；
When the cutting accuracy rate of the video segment is less than predetermined threshold value, determine that the cutting of the video segment does not conform to
Lattice.
In an embodiment of the present invention, the cutting accuracy rate of the video segment is：
Wherein, fi(x, y) represents two-value aspect of model function, and x is video segment characteristic vector, and y classifies for ownership, λ tables
Show the weight of cutting feature, Σiλi=1, i represent i-th of cutting feature.
In an embodiment of the present invention, the cutting feature include it is following in one or more：Face, sound, title
And color histogram.
In an embodiment of the present invention, after determining that the cutting of the video segment is unqualified, methods described also includes：
Obtain the scene type of the affiliated video of the video segment；
The weight of cutting feature according to used in the scene type adjusts the video segment；
According to the weight of the cutting feature after adjustment, the cutting accuracy rate of the video segment is recalculated.
Correspondingly, the embodiment of the present invention also proposes a kind of device of inspection video segment cutting effect, including：
Acquisition module, for obtaining cutting feature used in the video segment being split；
Computing module, for the cutting feature according to acquisition and the weight of default cutting feature, calculates the video
The cutting accuracy rate of fragment；
Determining module, for when the cutting accuracy rate of the video segment is less than predetermined threshold value, determining the piece of video
The cutting of section is unqualified.
In an embodiment of the present invention, the cutting accuracy rate of the video segment is：
Wherein, fi(x, y) represents two-value aspect of model function, and x is video segment characteristic vector, and y classifies for ownership, λ tables
Show the weight of cutting feature, Σiλi=1, i represent i-th of cutting feature.
In an embodiment of the present invention, the cutting feature include it is following in one or more：Face, sound, title
And color histogram.
In an embodiment of the present invention, described device also includes：
Second acquisition module, the scene type for obtaining the affiliated video of the video segment；
Adjusting module, the weight for the cutting feature according to used in the scene type adjustment video segment；
The computing module is additionally operable to：According to the weight of the cutting feature after adjustment, the video segment is recalculated
Cutting accuracy rate.
Technical scheme provided in an embodiment of the present invention can include the following benefits：
The present invention obtains cutting for video segment by the cutting feature and the corresponding accuracy rate of cutting feature of video segment
Divide accuracy rate, it is achieved thereby that the inspection of the cutting effect to video segment.
The further feature and advantage of the embodiment of the present invention will illustrate in the following description, also, partly from explanation
Become apparent, or understood by implementing the present invention in book.The purpose of the present invention and other advantages can be by being write
Specification, claims and accompanying drawing in specifically noted structure realize and obtain.
Below by drawings and examples, the technical scheme to the embodiment of the present invention is described in further detail.
Brief description of the drawings
Accompanying drawing is used for providing further understanding the embodiment of the present invention, and constitutes a part for specification, with this hair
Bright embodiment is used to explain the present invention together, does not constitute the limitation to the embodiment of the present invention.In the accompanying drawings：
Fig. 1 is the method flow diagram for examining video segment cutting effect in one embodiment of the invention；
Fig. 2 is the method flow diagram for examining video segment cutting effect in one embodiment of the invention；
Fig. 3 is the method flow diagram for examining video segment cutting effect in one embodiment of the invention；
Fig. 4 is the structural representation of the device of the inspection video segment cutting effect in one embodiment of the invention；
Fig. 5 is the structural representation of the device of the inspection video segment cutting effect in one embodiment of the invention.
Embodiment
The preferred embodiments of the present invention are illustrated below in conjunction with accompanying drawing, it will be appreciated that preferred reality described herein
Apply example and be merely to illustrate and explain the present invention embodiment, be not intended to limit the present invention embodiment.
It is the method flow for examining video segment cutting effect in the embodiment of the present invention as shown in Figure 1, this method includes：
Step S101：Obtain cutting feature used in the video segment being split.
Cutting feature can include it is following in one or more：Face, sound, title and color histogram.
Step S102：According to the cutting feature of acquisition and the weight of default cutting feature, the video segment is calculated
Cutting accuracy rate.
Step S103：When the cutting accuracy rate of the video segment is less than predetermined threshold value, the video segment is determined
Cutting is unqualified.
In the embodiment of the present invention, video is obtained by the cutting feature and the corresponding accuracy rate of cutting feature of video segment
The cutting accuracy rate of fragment, it is achieved thereby that the inspection of the cutting effect to video segment.
It is illustrated in figure 2 another embodiment of the inspection video segment cutting effect proposed in the embodiment of the present invention, the reality
Example is applied to comprise the following steps：
Step S201：Pre-set for being the cutting feature of video segment and every kind of cutting feature correspondence by video slicing
Weight.
For example, cutting feature includes face, sound, title and color histogram, i.e., cutting is carried out, according to sound according to face
Sound carries out cutting, cutting is carried out according to title and carries out cutting to video according to color histogram.
Step S202：Obtain cutting feature used in the video segment A after cutting.
For example, such as video segment A is to carry out cutting, cutting feature used in video segment A according to face and title
For face and title.
Step S203：The weight of cutting feature and the cutting feature pre-set according to used in video segment A, meter
Calculate video segment A cutting accuracy rate.
Wherein, fi(x, y) represents two-value aspect of model function, and its value is special by video segment ownership classification y and video segment
Levy vector x to determine, be 1 when x, y meet f values when video segment sorts out condition.For example, the cutting feature that the video segment is used
It is face, then, x is face feature vector, and whether y can use everything dtex of face to levy for the video segment is cut
Point, if so, then the value of the f is 1.Which part whether can use which or which cutting feature to carry out cutting in video,
This pre-sets, and λ represents the weight of cutting feature, Σiλi=1, i represent i-th of cutting feature.
Step S204：Judge whether video segment A cutting accuracy rate is less than predetermined threshold value；If so, then performing step
S205, if it is not, then performing step S206.
Step S205：Determine that video segment A cutting is unqualified.
Step S206：Determine that video segment A cutting is qualified.
In the present embodiment, a kind of algorithm for calculating cutting accuracy rate is given, cutting that can be effectively to video segment is accurate
True rate is judged.
It is illustrated in figure 3 another embodiment of the inspection video segment cutting effect proposed in the embodiment of the present invention, the reality
Example is applied to comprise the following steps：
Step S301：Pre-set for being the cutting feature of video segment and generally every kind of by video slicing
The corresponding weight of cutting feature, and the corresponding different weight of every kind of cutting feature under various specific scene types.
For example, cutting feature includes face, sound, title and color histogram, i.e., cutting is carried out, according to sound according to face
Sound carries out cutting, cutting is carried out according to title and carries out cutting to video according to color histogram.When video has the field of feature
During scape type, the corresponding weight of cutting feature can change, for example, when scene type is news, everything dtex of title
The weight levied just is increased.
Step S302：Obtain cutting feature used in the video segment A after cutting.
For example, such as video segment A is to carry out cutting, cutting feature used in video segment A according to face and title
For face and title.
Step S303：Cutting feature and the corresponding weight of cutting feature according to used in video segment A, calculate video
Fragment A cutting accuracy rate.
Wherein, fi(x, y) represents two-value aspect of model function, and its value is special by video segment ownership classification y and video segment
Levy vector x to determine, be 1 when x, y meet f values when video segment sorts out condition.For example, the cutting feature that the video segment is used
It is face, then, x is face feature vector, and whether y can use everything dtex of face to levy for the video segment is cut
Point, if so, then the value of the f is 1.Which part whether can use which or which cutting feature to carry out cutting in video,
This pre-sets, and λ represents the weight of cutting feature, Σiλi=1, i represent i-th of cutting feature.
Step S304：Judge whether video segment A cutting accuracy rate is less than predetermined threshold value；If so, then performing step
S305, if it is not, then performing step S308.
Step S305：Determine that video segment A cutting is unqualified.
Step S306：Obtain the scene type of the affiliated videos of video segment A.
Step S307：According to the scene type of acquisition, the weight of cutting feature used in adjustment video segment A, then
Return to step S303.
Step S308：Determine that video segment A cutting is qualified.
In the present embodiment, when the cutting of video segment is unqualified, field that can further according to belonging to video segment
Scape type is adjusted to the weight of cutting feature, and recalculates cutting accuracy rate, so can more accurately judge to regard
Whether the cutting of frequency fragment is qualified.
Correspondingly, as shown in figure 4, the present invention also provides a kind of device of inspection video segment cutting effect, including：
First acquisition module 401, for obtaining cutting feature used in the video segment being split；
Computing module 402, for the cutting feature according to acquisition and the weight of default cutting feature, is regarded described in calculating
The cutting accuracy rate of frequency fragment；
Determining module 403, for when the cutting accuracy rate of the video segment is less than predetermined threshold value, determining the video
The cutting of fragment is unqualified.
The cutting accuracy rate of the video segment is：
Wherein, fi(x, y) represents two-value aspect of model function, and x is video segment characteristic vector, and y classifies for ownership, λ tables
Show the weight of cutting feature, Σiλi=1, i represent i-th of cutting feature.
Cutting feature include it is following in one or more：Face, sound, title and color histogram.
As shown in figure 5, the device can also include：
Second acquisition module 404, the scene type for obtaining the affiliated video of the video segment；
Adjusting module 405, the power for the cutting feature according to used in the scene type adjustment video segment
Weight；
The computing module 402 is additionally operable to：According to the weight of the cutting feature after adjustment, the video segment is recalculated
Cutting accuracy rate.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can be used in one or more computers for wherein including computer usable program code
The shape for the computer program product that usable storage medium is implemented on (including but is not limited to magnetic disk storage and optical memory etc.)
Formula.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram are described.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if these modifications and variations of the present invention belong to the scope of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to comprising including these changes and modification.
Claims (6)
1. a kind of method for examining video segment cutting effect, it is characterised in that comprise the following steps：
Obtain cutting feature used in the video segment being split；
According to the cutting feature of acquisition and the weight of default cutting feature, the cutting accuracy rate of the video segment is calculated；
When the cutting accuracy rate of the video segment is less than predetermined threshold value, determine that the cutting of the video segment is unqualified；
The cutting accuracy rate of the video segment is：
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Wherein, fi(x, y) represents two-value aspect of model function, and x is video segment characteristic vector, and y classifies for ownership, and λ represents cutting
The weight of feature, ∑iλi=1, i represent i-th of cutting feature.
2. according to the method described in claim 1, it is characterised in that the cutting feature include it is following in one or more：
Face, sound, title and color histogram.
3. according to the method described in claim 1, it is characterised in that after determining that the cutting of the video segment is unqualified, institute
Stating method also includes：
Obtain the scene type of the affiliated video of the video segment；
The weight of cutting feature according to used in the scene type adjusts the video segment；
According to the weight of the cutting feature after adjustment, the cutting accuracy rate of the video segment is recalculated.
4. a kind of device of inspection video segment cutting effect, it is characterised in that including：
First acquisition module, for obtaining cutting feature used in the video segment being split；
Computing module, for the cutting feature according to acquisition and the weight of default cutting feature, calculates the video segment
Cutting accuracy rate；
Determining module, for when the cutting accuracy rate of the video segment is less than predetermined threshold value, determining the video segment
Cutting is unqualified；
The cutting accuracy rate of the video segment is：
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Wherein, fi(x, y) represents two-value aspect of model function, and x is video segment characteristic vector, and y classifies for ownership, and λ represents cutting
The weight of feature, ∑iλi=1, i represent i-th of cutting feature.
5. device according to claim 4, it is characterised in that the cutting feature include it is following in one or more：
Face, sound, title and color histogram.
6. device according to claim 4, it is characterised in that described device also includes：
Second acquisition module, the scene type for obtaining the affiliated video of the video segment；
Adjusting module, the weight for the cutting feature according to used in the scene type adjustment video segment；
The computing module is additionally operable to：According to the weight of the cutting feature after adjustment, the cutting of the video segment is recalculated
Accuracy rate.
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| CN201410810405.1A CN104469545B (en) | 2014-12-22 | 2014-12-22 | A kind of method and apparatus for examining video segment cutting effect |
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101650722A (en) * | 2009-06-01 | 2010-02-17 | 南京理工大学 | Method based on audio/video combination for detecting highlight events in football video |
| CN101976258A (en) * | 2010-11-03 | 2011-02-16 | 上海交通大学 | Video semantic extraction method by combining object segmentation and feature weighing |
| CN102306153A (en) * | 2011-06-29 | 2012-01-04 | 西安电子科技大学 | Method for detecting goal events based on normalized semantic weighting and regular football video |
| CN102324037A (en) * | 2011-09-06 | 2012-01-18 | 天津工业大学 | Shot boundary detection method based on support vector machine and genetic algorithm |
| CN102348049A (en) * | 2011-09-16 | 2012-02-08 | 央视国际网络有限公司 | Method and device for detecting position of cut point of video segment |
| CN102436483A (en) * | 2011-10-31 | 2012-05-02 | 北京交通大学 | Video advertisement detecting method based on explicit type sharing subspace |
| CN102547139A (en) * | 2010-12-30 | 2012-07-04 | 北京新岸线网络技术有限公司 | Method for splitting news video program, and method and system for cataloging news videos |
| CN103426176A (en) * | 2013-08-27 | 2013-12-04 | 重庆邮电大学 | Video shot detection method based on histogram improvement and clustering algorithm |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4613867B2 (en) * | 2005-05-26 | 2011-01-19 | ソニー株式会社 | Content processing apparatus, content processing method, and computer program |
-
2014
- 2014-12-22 CN CN201410810405.1A patent/CN104469545B/en not_active Expired - Fee Related
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101650722A (en) * | 2009-06-01 | 2010-02-17 | 南京理工大学 | Method based on audio/video combination for detecting highlight events in football video |
| CN101976258A (en) * | 2010-11-03 | 2011-02-16 | 上海交通大学 | Video semantic extraction method by combining object segmentation and feature weighing |
| CN102547139A (en) * | 2010-12-30 | 2012-07-04 | 北京新岸线网络技术有限公司 | Method for splitting news video program, and method and system for cataloging news videos |
| CN102306153A (en) * | 2011-06-29 | 2012-01-04 | 西安电子科技大学 | Method for detecting goal events based on normalized semantic weighting and regular football video |
| CN102324037A (en) * | 2011-09-06 | 2012-01-18 | 天津工业大学 | Shot boundary detection method based on support vector machine and genetic algorithm |
| CN102348049A (en) * | 2011-09-16 | 2012-02-08 | 央视国际网络有限公司 | Method and device for detecting position of cut point of video segment |
| CN102436483A (en) * | 2011-10-31 | 2012-05-02 | 北京交通大学 | Video advertisement detecting method based on explicit type sharing subspace |
| CN103426176A (en) * | 2013-08-27 | 2013-12-04 | 重庆邮电大学 | Video shot detection method based on histogram improvement and clustering algorithm |
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