CN104469545A - Method and device for verifying splitting effect of video clip - Google Patents

Method and device for verifying splitting effect of video clip Download PDF

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Publication number
CN104469545A
CN104469545A CN201410810405.1A CN201410810405A CN104469545A CN 104469545 A CN104469545 A CN 104469545A CN 201410810405 A CN201410810405 A CN 201410810405A CN 104469545 A CN104469545 A CN 104469545A
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CN
China
Prior art keywords
cutting
video segment
feature
accuracy rate
cutting feature
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Granted
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CN201410810405.1A
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Chinese (zh)
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CN104469545B (en
Inventor
龚云波
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Wuxi Tvmining Juyuan Media Technology Co Ltd
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Wuxi Tvmining Juyuan Media Technology Co Ltd
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Priority to CN201410810405.1A priority Critical patent/CN104469545B/en
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Publication of CN104469545B publication Critical patent/CN104469545B/en
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    • 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, rendering scenes according to MPEG-4 scene graphs
    • H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream

Abstract

The invention discloses a method and device for verifying the splitting effect of a video clip. The method includes the following steps that the splitting feature used by the split video clip is acquired; the splitting accuracy rate of the video clip is calculated according to the weight of the acquired splitting feature and a preset splitting feature; when the splitting accuracy rate of the video clip is lower than a preset threshold value, it is determined that video clip splitting is unqualified. By the adoption of the method and device, the splitting accuracy rate of the video clip is acquired according to the splitting feature of the video clip and the accuracy rate corresponding to the splitting feature, and therefore the splitting effect of the video clip can be verified.

Description

A kind of method and apparatus checking video segment cutting effect
Technical field
The present invention relates to video field, more specifically, relate to a kind of method and apparatus checking video segment cutting effect.
Background technology
No matter be on computers, or on the mobile terminal such as smart mobile phone, panel computer, video playback is all that user uses more function.
Video provider is experienced to provide flexible viewing to user, usually need video to carry out cutting, such as, one section of halfhour news program is carried out cutting according to different contents, be divided into multiple independently news footage, facilitate user to select the news footage oneself wanting to see.
Video slicing can be carried out by the means of human-edited.In order to improve cutting efficiency, can also use further, by modes such as face, sound or captions, cutting being carried out to video.Such as, identify personage by face and sound, determine character, for news, such as host, outdoor scene host, outdoor scene welcome guest etc.The information such as role and title can also be combined, determine content switching position, this switching position is the position of video slicing, and such as, the switching of host is generally content and switches, and host is still a content to the switching of outdoor scene host usually.
When using aforesaid way to carry out video slicing, how to judge that the cutting effect of video segment is a problem demanding prompt solution.
Summary of the invention
In view of this, the object of the embodiment of the present invention proposes a kind of method and apparatus checking video segment cutting effect, and whether it can check the video segment after cutting qualified.
In order to achieve the above object, the embodiment of the present invention proposes a kind of method checking video segment cutting effect, comprises the following steps:
The cutting feature that the video segment that acquisition is split uses;
According to the cutting feature of acquisition and the weight of default cutting feature, calculate the cutting accuracy rate of described video segment;
When the cutting accuracy rate of described video segment is lower than predetermined threshold value, determine that the cutting of described video segment is defective.
In an embodiment of the present invention, the cutting accuracy rate of described video segment is:
P ( y / x ) = exp ( Σ i λ i f i ( x , y ) ) Σ y ( exp ( Σ i λ i f i ( x , y ) ) )
Wherein, f i(x, y) represents two-value aspect of model function, and x is video segment characteristic vector, and y is ownership classification, and λ represents the weight of cutting feature, Σ iλ i=1, i represents i-th cutting feature.
In an embodiment of the present invention, described cutting feature comprise following in one or more: face, sound, title and color histogram.
In an embodiment of the present invention, after determining that the cutting of described video segment is defective, described method also comprises:
Obtain the scene type of video belonging to described video segment;
The weight of the cutting feature that described video segment uses is adjusted according to described scene type;
According to the weight of the cutting feature after adjustment, recalculate the cutting accuracy rate of described video segment.
Correspondingly, the embodiment of the present invention also proposes a kind of device checking video segment cutting effect, comprising:
Acquisition module, for obtaining the cutting feature that the video segment that is split uses;
Computing module, for the weight according to the cutting feature obtained and default cutting feature, calculates the cutting accuracy rate of described video segment;
Determination module, for when the cutting accuracy rate of described video segment is lower than predetermined threshold value, determines that the cutting of described video segment is defective.
In an embodiment of the present invention, the cutting accuracy rate of described video segment is:
P ( y / x ) = exp ( Σ i λ i f i ( x , y ) ) Σ y ( exp ( Σ i λ i f i ( x , y ) ) )
Wherein, f i(x, y) represents two-value aspect of model function, and x is video segment characteristic vector, and y is ownership classification, and λ represents the weight of cutting feature, Σ iλ i=1, i represents i-th cutting feature.
In an embodiment of the present invention, described cutting feature comprise following in one or more: face, sound, title and color histogram.
In an embodiment of the present invention, described device also comprises:
Second acquisition module, for obtaining the scene type of video belonging to described video segment;
Adjusting module, for adjusting the weight of the cutting feature that described video segment uses according to described scene type;
Described computing module also for: according to the weight of cutting feature after adjustment, recalculate the cutting accuracy rate of described video segment.
The technical scheme that the embodiment of the present invention provides can comprise following beneficial effect:
The present invention obtains the cutting accuracy rate of video segment by the cutting feature of video segment and accuracy rate corresponding to cutting feature, thus achieves the inspection of the cutting effect to video segment.
The further feature of the embodiment of the present invention and advantage will be set forth in the following description, and, partly become apparent from specification, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in write specification, claims and accompanying drawing and obtain.
Below by drawings and Examples, the technical scheme of the embodiment of the present invention is described in further detail.
Accompanying drawing explanation
Accompanying drawing is used to provide the further understanding to the embodiment of the present invention, and forms a part for specification, together with embodiments of the present invention for explaining the present invention, does not form the restriction to the embodiment of the present invention.In the accompanying drawings:
Fig. 1 is the method flow diagram of the inspection video segment cutting effect in one embodiment of the invention;
Fig. 2 is the method flow diagram of the inspection video segment cutting effect in one embodiment of the invention;
Fig. 3 is the method flow diagram of the inspection video segment cutting effect in one embodiment of the invention;
Fig. 4 is the structural representation of the device of inspection video segment cutting effect in one embodiment of the invention;
Fig. 5 is the structural representation of the device of inspection video segment cutting effect in one embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein is only for instruction and explanation of the embodiment of the present invention, is not intended to limit the present invention embodiment.
Be illustrated in figure 1 the method flow of the inspection video segment cutting effect in the embodiment of the present invention, the method comprises:
Step S101: the cutting feature that the video segment that acquisition is split uses.
Cutting feature can comprise 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, calculate the cutting accuracy rate of described video segment.
Step S103: when the cutting accuracy rate of described video segment is lower than predetermined threshold value, determines that the cutting of described video segment is defective.
In the embodiment of the present invention, obtained the cutting accuracy rate of video segment by the cutting feature of video segment and accuracy rate corresponding to cutting feature, thus achieve the inspection of the cutting effect to video segment.
Be illustrated in figure 2 another embodiment of the inspection video segment cutting effect proposed in the embodiment of the present invention, this embodiment comprises the following steps:
Step S201: pre-set cutting feature for by video slicing being video segment and weight corresponding to often kind of cutting feature.
Such as, cutting feature comprises face, sound, title and color histogram, namely carries out cutting according to face, carries out cutting according to sound, carries out cutting and carry out cutting according to color histogram to video according to title.
Step S202: obtain the cutting feature that the video segment A after cutting uses.
Such as, such as video segment A is for carry out cutting according to face and title, and the cutting that video segment A uses is characterized as face and title.
Step S203: the cutting feature used according to video segment A and the weight of cutting feature pre-set, calculate the cutting accuracy rate of video segment A.
P ( y / x ) = exp ( Σ i λ i f i ( x , y ) ) Σ y ( exp ( Σ i λ i f i ( x , y ) ) )
Wherein, f i(x, y) represents two-value aspect of model function, and its value belongs to classification y and video segment characteristic vector x by video segment and decides, and when x, y meet video segment classification condition, f value is 1.Such as, the cutting feature that this video segment uses is face, and so, x is face feature vector, and whether y can use face everything point of feature to carry out cutting for this video segment, and if so, then the value of this f is 1.In video, which part whether can use which or which cutting feature to carry out cutting, and this pre-sets, and λ represents the weight of cutting feature, Σ iλ i=1, i represents i-th cutting feature.
Step S204: judge that whether the cutting accuracy rate of video segment A is lower than predetermined threshold value; If so, then perform step S205, if not, then perform step S206.
Step S205: determine that the cutting of video segment A is defective.
Step S206: determine that the cutting of video segment A is qualified.
In the present embodiment, give a kind of algorithm calculating cutting accuracy rate, can effectively judge the cutting accuracy rate of video segment.
Be illustrated in figure 3 another embodiment of the inspection video segment cutting effect proposed in the embodiment of the present invention, this embodiment comprises the following steps:
Step S301: pre-set the cutting feature for by video slicing being video segment and weight that generally often kind of cutting feature is corresponding, and the different weight that often kind of cutting feature under various specific scene type is corresponding.
Such as, cutting feature comprises face, sound, title and color histogram, namely carries out cutting according to face, carries out cutting according to sound, carries out cutting and carry out cutting according to color histogram to video according to title.When the characteristic scene type of video tool, weight corresponding to cutting feature can change, and such as, when scene type is news, the weight of title everything point of feature just strengthens.
Step S302: obtain the cutting feature that the video segment A after cutting uses.
Such as, such as video segment A is for carry out cutting according to face and title, and the cutting that video segment A uses is characterized as face and title.
Step S303: the cutting feature used according to video segment A and weight corresponding to cutting feature, calculate the cutting accuracy rate of video segment A.
P ( y / x ) = exp ( Σ i λ i f i ( x , y ) ) Σ y ( exp ( Σ i λ i f i ( x , y ) ) )
Wherein, f i(x, y) represents two-value aspect of model function, and its value belongs to classification y and video segment characteristic vector x by video segment and decides, and when x, y meet video segment classification condition, f value is 1.Such as, the cutting feature that this video segment uses is face, and so, x is face feature vector, and whether y can use face everything point of feature to carry out cutting for this video segment, and if so, then the value of this f is 1.In video, which part whether can use which or which cutting feature to carry out cutting, and this pre-sets, and λ represents the weight of cutting feature, Σ iλ i=1, i represents i-th cutting feature.
Step S304: judge that whether the cutting accuracy rate of video segment A is lower than predetermined threshold value; If so, then perform step S305, if not, then perform step S308.
Step S305: determine that the cutting of video segment A is defective.
Step S306: the scene type obtaining video belonging to described video segment A.
Step S307: according to the scene type obtained, the weight of the cutting feature that adjustment video segment A uses, then returns step S303.
Step S308: determine that the cutting of video segment A is qualified.
In the present embodiment, when the cutting of video segment is defective, the weight of scene type to cutting feature further belonging to video segment can adjust, and recalculate cutting accuracy rate, can judge that whether the cutting of video segment is qualified so more accurately.
Correspondingly, as shown in Figure 4, the present invention also provides a kind of device checking video segment cutting effect, comprising:
First acquisition module 401, for obtaining the cutting feature that the video segment that is split uses;
Computing module 402, for the weight according to the cutting feature obtained and default cutting feature, calculates the cutting accuracy rate of described video segment;
Determination module 403, for when the cutting accuracy rate of described video segment is lower than predetermined threshold value, determines that the cutting of described video segment is defective.
The cutting accuracy rate of described video segment is:
P ( y / x ) = exp ( Σ i λ i f i ( x , y ) ) Σ y ( exp ( Σ i λ i f i ( x , y ) ) )
Wherein, f i(x, y) represents two-value aspect of model function, and x is video segment characteristic vector, and y is ownership classification, and λ represents the weight of cutting feature, Σ iλ i=1, i represents i-th cutting feature.
Cutting feature comprise following in one or more: face, sound, title and color histogram.
As shown in Figure 5, this device can also comprise:
Second acquisition module 404, for obtaining the scene type of video belonging to described video segment;
Adjusting module 405, for adjusting the weight of the cutting feature that described video segment uses according to described scene type;
Described computing module 402 also for: according to the weight of cutting feature after adjustment, recalculate the cutting accuracy rate of described video segment.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disc store and optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the flow chart of the method for the embodiment of the present invention, equipment (system) and computer program and/or block diagram.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame.These computer program instructions can being provided to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computer or other programmable data processing device produce device for realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices is provided for the step realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.

Claims (8)

1. check a method for video segment cutting effect, it is characterized in that, comprise the following steps:
The cutting feature that the video segment that acquisition is split uses;
According to the cutting feature of acquisition and the weight of default cutting feature, calculate the cutting accuracy rate of described video segment;
When the cutting accuracy rate of described video segment is lower than predetermined threshold value, determine that the cutting of described video segment is defective.
2. method according to claim 1, is characterized in that, the cutting accuracy rate of described video segment is:
P ( y / x ) = exp ( Σ i λ i f i ( x , y ) ) Σ y ( exp ( Σ i λ i f i x , y ) ) )
Wherein, f i(x, y) represents two-value aspect of model function, and x is video segment characteristic vector, and y is ownership classification, and λ represents the weight of cutting feature, Σ iλ i=1, i represents i-th cutting feature.
3. method according to claim 1, is characterized in that, described cutting feature comprise following in one or more: face, sound, title and color histogram.
4. method according to claim 1, is characterized in that, after determining that the cutting of described video segment is defective, described method also comprises:
Obtain the scene type of video belonging to described video segment;
The weight of the cutting feature that described video segment uses is adjusted according to described scene type;
According to the weight of the cutting feature after adjustment, recalculate the cutting accuracy rate of described video segment.
5. check a device for video segment cutting effect, it is characterized in that, comprising:
First acquisition module, for obtaining the cutting feature that the video segment that is split uses;
Computing module, for the weight according to the cutting feature obtained and default cutting feature, calculates the cutting accuracy rate of described video segment;
Determination module, for when the cutting accuracy rate of described video segment is lower than predetermined threshold value, determines that the cutting of described video segment is defective.
6. device according to claim 5, is characterized in that, the cutting accuracy rate of described video segment is:
P ( y / x ) = exp ( Σ i λ i f i ( x , y ) ) Σ y ( exp ( Σ i λ i f i x , y ) ) )
Wherein, f i(x, y) represents two-value aspect of model function, and x is video segment characteristic vector, and y is ownership classification, and λ represents the weight of cutting feature, Σ iλ i=1, i represents i-th cutting feature.
7. device according to claim 5, is characterized in that, described cutting feature comprise following in one or more: face, sound, title and color histogram.
8. method according to claim 4, is characterized in that, described device also comprises:
Second acquisition module, for obtaining the scene type of video belonging to described video segment;
Adjusting module, for adjusting the weight of the cutting feature that described video segment uses according to described scene type;
Described computing module also for: according to the weight of cutting feature after adjustment, recalculate the cutting accuracy rate of described video segment.
CN201410810405.1A 2014-12-22 2014-12-22 A kind of method and apparatus for examining video segment cutting effect Expired - Fee Related CN104469545B (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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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
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