CN108734491A - Assess the method and device of the copyright value of multi-medium data - Google Patents
Assess the method and device of the copyright value of multi-medium data Download PDFInfo
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
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Abstract
This disclosure relates to assess the method and device of the copyright value of multi-medium data, this method includes：Multi-medium data is segmented according to the characteristic information sample in the characteristic information of multi-medium data and characteristic information library, obtain multi-medium data segment and determines the corresponding attribute information of each multi-medium data segment；The contribution margin that the multi-medium data segment is worth copyright is determined according to the attribute information；According to the contribution margin and copyright information of multi-medium data segment, the copyright value of multi-medium data segment is determined.The method and device of the copyright value of multi-medium data is assessed according to the disclosure can realize the judgement of different multimedia data slot copyright ownership in multi-medium data; and it can determine the contribution margin and copyright value of different multimedia data slot; so that it is determined that the ownership and weight of different fragments copyright; the copyright value to media data is more accurately assessed, the equity for preferably protecting copyright owner is conducive to.
Description
Technical field
This disclosure relates to multimedia technology field more particularly to it is a kind of assessment multi-medium data copyright value method and
Device.
Background technology
The Copyright Protection of digital video increasingly obtains the extensive concern of user, by video sound intermediate frequency data and regarding
The finger print information of frequency evidence is detected can realize that the copyright to audio data and video data is identified and protects respectively.
Currently, the use of UPGC (User&Professional Generated Content, user generate content with expert)
Amount amount is more and more, some packets obtained by editing and recombinate multi-media segment by of (upload) are shared for UPGC user
The audio in different copyright sources and/or the multi-medium data of video are included, copyright ownership is more complicated, simple to audio data
Or the copyright of video data is detected accurate judgement and the assessment being difficult to realize to copyright ownership and value, it can not be right well
The copyright of copyright owner is protected.
Invention content
In view of this, the present disclosure proposes a kind of method and device of the copyright value of assessment multi-medium data, realize more
The judgement of different multimedia data slot copyright ownership in media data, and can determine the copyright valence of multi-medium data segment
Value is conducive to the equity for protecting copyright owner.
According to the one side of the disclosure, a kind of method of the copyright value of assessment multi-medium data is provided, including：Extraction
The characteristic information of multi-medium data；According to the characteristic information sample in the characteristic information and characteristic information library to the multimedia
Data are segmented, and are obtained one or more snippets multi-medium data segment and are determined the corresponding attribute letter of each multi-medium data segment
Breath, the attribute information includes the duration information and copyright information of corresponding multi-medium data segment；According to multi-medium data piece
The duration information of section and the duration information of the multi-medium data determine the contribution that the multi-medium data segment is worth copyright
Value；According to the contribution margin and copyright information of multi-medium data segment, the copyright value of the multi-medium data segment is determined.
According to another aspect of the present disclosure, a kind of device of the copyright value of assessment multi-medium data is provided, including：It carries
Modulus block, the characteristic information for extracting multi-medium data；Segmentation module, for according to the characteristic information and characteristic information library
In characteristic information sample the multi-medium data is segmented, obtain one or more snippets multi-medium data segment and determine each
The corresponding attribute information of multi-medium data segment, the attribute information include corresponding multi-medium data segment duration information and
Copyright information；First determining module is used for the duration of the duration information and the multi-medium data according to multi-medium data segment
Information determines the contribution margin that the multi-medium data segment is worth copyright；Second determining module, for according to multi-medium data
The contribution margin and copyright information of segment determine the copyright value of the multi-medium data segment.
According to another aspect of the present disclosure, a kind of device of the copyright value of assessment multi-medium data is provided, including：Place
Manage device；Memory for storing processor-executable instruction；Wherein, the processor is configured as executing the above method.
According to another aspect of the present disclosure, a kind of non-volatile computer readable storage medium storing program for executing is provided, when the storage
When instruction in medium is executed by the processor of terminal and/or server so that terminal and/or server are able to carry out above-mentioned side
Method.
By extracting the characteristic information of multi-medium data and to multi-medium data be segmented according to the characteristic information
To multi-medium data segment, and determine the corresponding attribute information of every section of multi-medium data segment, according to the attribute information when
Long message and copyright information determine the copyright value of the multi-medium data segment.According to the assessment multimedia of various aspects of the present disclosure
The method and device of the copyright value of data can realize sentencing for different multimedia data slot copyright ownership in multi-medium data
It is disconnected, and can determine the contribution margin and copyright value of different multimedia data slot, so that it is determined that different fragments copyright
Ownership and weight more accurately assess the copyright value to media data, are conducive to the equity for preferably protecting copyright owner.
According to below with reference to the accompanying drawings to detailed description of illustrative embodiments, the other feature and aspect of the disclosure will become
It is clear.
Description of the drawings
Including in the description and the attached drawing of a part for constitution instruction and specification together illustrate the disclosure
Exemplary embodiment, feature and aspect, and for explaining the principles of this disclosure.
Fig. 1 shows the flow chart of the method for the copyright value of the assessment multi-medium data according to one embodiment of the disclosure.
Fig. 2 shows the flow charts according to the step S12 methods of one embodiment of the disclosure.
Fig. 3 shows the schematic diagram of the method for the copyright value of the assessment multi-medium data according to one embodiment of the disclosure.
Fig. 4 shows the flow chart of the method for the copyright value of the assessment multi-medium data according to one embodiment of the disclosure.
Fig. 5 shows the flow chart of the method for the step S13 according to one embodiment of the disclosure.
Fig. 6 shows the flow chart of the method for the step S14 according to one embodiment of the disclosure.
Fig. 7 shows the flow chart of the method for the copyright value of the assessment multi-medium data according to one embodiment of the disclosure.
Fig. 8 shows the block diagram of the device of the copyright value of the assessment multi-medium data according to one embodiment of the disclosure.
Fig. 9 shows the block diagram of the device of the copyright value of the assessment multi-medium data according to one embodiment of the disclosure.
Figure 10 shows the block diagram of the device of the copyright value of the assessment multi-medium data according to one embodiment of the disclosure.
Specific implementation mode
Various exemplary embodiments, feature and the aspect of the disclosure are described in detail below with reference to attached drawing.It is identical in attached drawing
Reference numeral indicate functionally the same or similar element.Although the various aspects of embodiment are shown in the accompanying drawings, remove
It non-specifically points out, it is not necessary to attached drawing drawn to scale.
Dedicated word " exemplary " means " being used as example, embodiment or illustrative " herein.Here as " exemplary "
Illustrated any embodiment should not necessarily be construed as preferred or advantageous over other embodiments.
In addition, in order to better illustrate the disclosure, numerous details is given in specific implementation mode below.
It will be appreciated by those skilled in the art that without certain details, the disclosure can equally be implemented.In some instances, for
Method, means, element and circuit well known to those skilled in the art are not described in detail, in order to highlight the purport of the disclosure.
Embodiment 1
Fig. 1 shows the flow chart of the method for the copyright value of the assessment multi-medium data according to one embodiment of the disclosure, institute
The method of stating can be applied to server etc..As shown in Figure 1, this method includes：
Step S11 extracts the characteristic information of multi-medium data；
Step S12, according to the characteristic information sample in the characteristic information and characteristic information library to the multi-medium data
It is segmented, obtains one or more snippets multi-medium data segment and determines the corresponding attribute information of each multi-medium data segment, institute
State the duration information and copyright information that attribute information includes corresponding multi-medium data segment；
Step S13 determines institute according to the duration information of the duration information of multi-medium data segment and the multi-medium data
State the contribution margin that multi-medium data segment is worth copyright；
Step S14 determines the multi-medium data segment according to the contribution margin and copyright information of multi-medium data segment
Copyright is worth.
By extracting the characteristic information of multi-medium data and to multi-medium data be segmented according to the characteristic information
To multi-medium data segment, and determine the corresponding attribute information of every section of multi-medium data segment, according to the attribute information when
Long message and copyright information determine the copyright value of the multi-medium data segment.According to the assessment of disclosure the above embodiment
The method of the copyright value of multi-medium data can realize sentencing for different multimedia data slot copyright ownership in multi-medium data
It is disconnected, and can determine the contribution margin and copyright value of different multimedia data slot, so that it is determined that different multimedia data
The ownership and weight of segment copyright more accurately assess the copyright value to media data, are conducive to preferably protect copyright
The equity of people.
Characteristic information can be any information for the feature that can indicate or distinguish multi-medium data, such as finger print information.
For example, the multi-medium data can be audio data, or the video data comprising audio and video.With audio number
For, the characteristic information can be audio-frequency fingerprint (Audiofingerprinting), and the audio-frequency fingerprint is can to identify
The characteristic information of the uniqueness of audio data, can be used for identification, copyright protection of audio data etc., extraction each
Audio-frequency fingerprint all generally requires to extract several with there are one temporal informations for example, 15s snatch of music extracts respectively per frame
Ten thousand fingerprints, each fingerprint can correspond to a time point in snatch of music.Extract the characteristic information of characteristics of the multimedia data
Method related algorithm in the prior art may be used, for example, echoprint, chromaprint and landmark etc., this
It is open that this is not construed as limiting.
After extracting audio-frequency fingerprint, corresponding audio-frequency fingerprint sample can be searched in audio-frequency fingerprint library, wherein the sound
It can be stored with list in frequency fingerprint base, audio-frequency fingerprint sample and its corresponding audio tag are stored in each list item,
Described in audio tag can be audio ID etc..By the audio-frequency fingerprint sample acquisition audio ID searched in audio-frequency fingerprint library,
To be segmented to the audio data according to audio ID, one section or multistage audio fragment (audio clip) are obtained, and
And the duration information and copyright information of respective audio segment can be determined according to audio ID.Wherein, the copyright information can be
Film-maker of video clip, such as XX film studios, XX producer etc. can also be composer, the songwriter of audio fragment
Deng.
For example, as shown in Fig. 2, Fig. 2 shows the flow charts according to the step S12 methods of one embodiment of the disclosure.Institute
It states and the multi-medium data is carried out according to the characteristic information sample in the characteristic information and characteristic information library in step S12
Segmentation obtains one or more snippets multi-medium data segment and determines the corresponding attribute information of each multi-medium data segment, specific to wrap
It includes：
Step S121 matches the characteristic information of multi-medium data with the characteristic information sample in characteristic information library；
Step S122, the characteristic information in the multi-medium data of a period of time and the characteristic information sample in characteristic information library
Successful match, and in the case of the multi-medium data of described a period of time multimedia label all having the same, by described one section
The multi-medium data of time is as multi-medium data segment；
Step S123, using the duration information of described a period of time and the corresponding copyright information of the characteristic information sample as
The duration information and copyright information of the multi-medium data segment.
Wherein, multimedia label can be the information such as the information of identification of multimedia uniqueness, such as multimedia ID, multimedia
Label corresponding with the characteristic information sample in characteristic information library can preserve, and believe in the characteristic information of multi-medium data and feature
When characteristic information sample matches in breath library succeed, using the corresponding multimedia label of the characteristic information sample of successful match as this
The multimedia label of multi-medium data.The correspondence of multimedia label and copyright information can be established, to pass through multimedia mark
Label determine multi-medium data or the copyright information of multi-medium data segment.
Still by taking audio data as an example, in conjunction with described above it is found that the characteristic information (example of the multi-medium data of extraction
Such as, audio-frequency fingerprint above) all with there are one temporal informations (such as time point in present video), the audio is referred to
Line is matched with the audio-frequency fingerprint sample in audio-frequency fingerprint library, can be obtained in the case of successful match and be referred to the audio
Grain pattern sheet corresponding audio ID, the audio ID of the audio data as the time point.In the audio of the audio data of a period of time
Fingerprint and the audio-frequency fingerprint sample matches success in audio-frequency fingerprint library, and the audio data of described a period of time is all having the same
It, can be using the audio data of described a period of time as an audio fragment, and according to audio-frequency fingerprint in the case of audio ID
Adjoint temporal information can determine the duration information of the audio fragment, can also determine that corresponding copyright is believed according to audio ID
Breath.
Multi-medium data is segmented by the characteristic information (for example, audio/video fingerprint) of multi-medium data, it can be true
The copyright ownership of fixed every section of multi-medium data segment and the contribution margin being worth to copyright, are more accurately assessed to media data
Copyright is worth, and is conducive to the equity for protecting copyright owner.
It should be noted that although describing the side of the copyright value of assessment multi-medium data using audio data as example
Method is as above, it is understood by one of ordinary skill in the art that the disclosure answer it is without being limited thereto.In fact, user completely can according to demand really
Surely the scene applied, such as video data etc. can also be applied to.
In step S13, the multi-medium data segment can be the multi-medium data piece to the contribution margin that copyright is worth
The duration of section accounts for the ratio of the duration of the multi-medium data, for example, one section of multi-medium data is divided into N number of multi-medium data piece
The attribute information of section (P1, P2 ..., PN), each multi-medium data segment can be Pi (ti, Bi), and wherein ti indicates i-th section
The duration information of multi-medium data segment, the copyright information of Bi i-th section of multi-medium data segment of expression, t1+t2+ ... tN=T,
Middle T is the total duration of the multi-medium data.The contribution margin of so i-th section multi-medium data segment can be ti/T.
The contribution margin of the multi-medium data segment can also be determined according to corresponding contribution coefficient, wherein the contribution
Coefficient can be determined according to duration information, content information, influence power of multi-medium data segment etc., for example, duration is longer, interior
It is more high to hold the more how corresponding contribution coefficient of more professional or user comment.For example, can determine each according to factors above
The corresponding contribution coefficient of multi-medium data segment is Ai, then the contribution margin of i-th section of multi-medium data segment can be Ai × ti/
T.Wherein, contribution coefficient can meet condition A1 × t1+A2 × t2+ ...+AN × tN=T, that is to say, that A1+A2+ ...+AN=1.
In another example, directly it can also determine what the multi-medium data segment was worth copyright according to contribution coefficient
Contribution margin.
For example, the side of the copyright value of the assessment multi-medium data according to one embodiment of the disclosure as shown in Figure 3
One section audio data have been divided into as shown in the figure 5 sections, respectively audio fragment by the schematic diagram of method according to the disclosure above method
1-5.Wherein, when a length of 15 minutes (min) of audio fragment 1, the when a length of 20min of audio fragment 2, the duration of audio fragment 3
For 20min, the when a length of 18min of audio fragment 4, the when a length of 10min of audio fragment 5, audio total duration is 83min, it is assumed that
Contribution margin is Gi (i=1,2,3,4,5), then the contribution margin that audio fragment 1 is worth copyright can be G1=15/83, may be used also
Corresponding contribution coefficient is arranged according to information such as the contents of audio fragment 1, then the contribution margin can also be G1=A1 ×
(15/83).It is merely possible to example above to illustrate the method for determination of contribution margin, the disclosure is to specifically determining contribution margin
Mode is not construed as limiting.
In step S14, copyright information can indicate the arbitrary information of multi-media segment copyright ownership, for example can regard
Film-maker of frequency segment, such as XX film studios, XX producer etc. can also be composer, songwriter of audio fragment etc..
According to the contribution margin and copyright information of multi-medium data segment, the copyright value of the multi-medium data segment can be determined.It lifts
For example, the influence that different copyright owners is worth copyright is different, and the works of more professional or more well-known copyright owner are often worth
Therefore bigger can determine multi-medium data according to the copyright owner in the contribution margin and copyright information of multi-medium data segment
The copyright of segment is worth.
In a kind of possible embodiment, can according to the influence power of copyright owner's works in copyright information, popularity,
The information such as professional determine weight coefficient K, by taking example shown in Fig. 3 as an example, it is assumed that the copyright of multi-medium data segment, which is worth, is
The copyright value of Yi (i=[1,2 ... N]), audio fragment 1 can be Y1=K1 × G1.The copyright value is determined for
The equity of copyright owner, for example, according to the revenue sharing of copyright value, payment expense, increase integral etc..
Fig. 4 shows the flow chart of the method for the copyright value of the assessment multi-medium data according to one embodiment of the disclosure.
In a kind of possible embodiment, the multi-medium data is audio, video data, as shown in figure 4, step S11 is carried
The characteristic information of multi-medium data is taken to may include：
Step S111 decapsulates the multi-medium data to obtain audio data and video data；
Step S112 extracts the audio-frequency fingerprint of the audio data；
And/or
Step S113 extracts the video finger print of the video data.
When the multi-medium data is audio, video data, the audio, video data can be decapsulated, obtain audio number
According to and video data, as shown in Figure 3.It is then possible to the audio-frequency fingerprint of the audio data only be extracted, to the audio data
Copyright value is assessed；The video finger print that the video data can also only be extracted is worth the copyright of the video data
It is assessed；Can also extract the audio-frequency fingerprint and video finger print of audio data and video data, and respectively to audio data and
The copyright value of video data is assessed.
The assessment mode of audio data copyright value, referring specifically to described above, details are not described herein.
Method in the related technology equally may be used for the extraction of the video finger print of video data, video finger print includes
Spatial character and time response.So-called spatial character is the feature extraction based on video frame images, can be based on whole image,
It can be based on the block in image；So-called time response can be based on spatial character and realize, such as extracted and moved based on consecutive frame
Feature etc..It is merely possible to example above the extracting method of the video finger print of video data is introduced, the disclosure is to specific
The method of the video finger print of the extraction video data of use is not construed as limiting.
Can be identical as audio fragment for the appraisal procedure of the copyright value of video clip, for example, one section of video data
It is divided into N number of video clip (P1, P2 ..., PN), the attribute information of each video clip can be Pi (ti, Bi), wherein ti
Indicate that the duration information of i-th section of video clip, Bi indicate the copyright information of i-th section of video clip, t1+t2+ ... tN=T, wherein T
For the total duration of the video clip.The contribution margin of so i-th section video clip can be ti/T.
The contribution margin of the video clip can also be determined according to corresponding contribution coefficient, wherein the contribution coefficient can
Be according to duration information, content information, influence power of video clip etc. determine, for example, duration is longer, content is more professional or
How corresponding user comment contribution coefficient more be more high.For example, the corresponding contribution coefficient of each video clip is Ai, then the
The contribution margin of i sections of video clips can be Ai × ti/T.Wherein, contribution coefficient can meet condition A1 × t1+A2 × t2+ ...+
AN × tN=T, that is to say, that A1+A2+ ...+AN=1.
In another example, can also contribution that the video clip is worth copyright directly be determined according to contribution coefficient
Value.
For example, as shown in figure 3, one section of video data has been divided into as shown in the figure 4 according to the disclosure above method
Section, respectively video clip a, b, c and d.Wherein, the when a length of 8min of the when a length of 30min of video clip a, video clip b,
The when a length of 35min of the when a length of 10min of video clip c, video clip d, video total duration is 83min, then video clip a
It can be G1=30/83 to the contribution margin of copyright value, can also corresponding tribute be set according to information such as the contents of video clip a
Coefficient A1 is offered, then the contribution margin can also be G1=A1 × (30/83).It is merely possible to example above to contribution margin really
Determine mode to illustrate, the disclosure is to specifically determining that the mode of contribution margin is not construed as limiting.
As shown in figure 4, in the step S12 according to the characteristic information sample in the characteristic information and characteristic information library
The multi-medium data is segmented, one or more snippets multi-medium data segment is obtained and determines each multi-medium data segment pair
The attribute information answered may include：
Step S124 divides the audio data according to the audio-frequency fingerprint sample in audio-frequency fingerprint and audio-frequency fingerprint library
Section obtains one or more snippets audio fragment and determines the corresponding attribute information of each audio fragment；
And/or
Step 125, the video data is divided according to the video finger print sample in video finger print and video finger print library
Section obtains one or more snippets video clip and determines the corresponding attribute information of each video clip.
Pair described above may refer to according to the method that audio-frequency fingerprint is segmented audio data with step S124,
Details are not described herein.Described above may refer to for the method for video data segment, details are not described herein.
Copyright by assessing audio data and video data respectively is worth, and can be selected according to service scenarios and business demand
The content specifically assessed is selected, computing resource can be saved.For example, when only belonging to the copyright identification of video data, it is only necessary to count
The contribution margin and copyright value for calculating video data improve assessment efficiency without assessing audio data, save meter
Calculate resource.
Fig. 5 shows the flow chart of the method for the step S13 according to one embodiment of the disclosure.As shown in figure 5, in a kind of possibility
Embodiment in, step S13 includes：
Step S131 classifies to multi-medium data segment according to the copyright information, obtains one or more more matchmakers
Volume data set of segments；
Step S132, according to the duration information of each multi-medium data segment in multi-medium data set of segments and more matchmakers
The duration information of volume data determines the contribution margin that the multi-medium data set of segments is worth copyright.
For example, as shown in figure 3, one section audio data have been divided into as shown in the figure 5 according to the disclosure above method
Section, respectively audio fragment 1-5.Wherein, when a length of 15min, the artificial B1 of copyright of audio fragment 1, audio fragment 2 when it is a length of
The artificial B2 of 20min, copyright, when a length of 20min, the artificial B1 of copyright of audio fragment 3, audio fragment 4 when a length of 18min, version
Weigh artificial B3, when a length of 10min, the artificial B2 of copyright of audio fragment 5, audio total duration is 83min.It can be according to the copyright
Information classifies to audio fragment, and audio fragment set 1 is obtained for one kind for example, dividing audio fragment 1 and audio fragment 3,
Audio fragment 2 and audio fragment 5 are divided and obtain audio fragment set 2 for one kind, audio fragment 4 is as audio fragment set 3.Its
In, the duration information of audio fragment set 1 is 15min+20min=35min, and the duration information of audio fragment set 2 is 20min
+ 18min=38min.
It is possible thereby to according to the duration information and audio data of audio fragment 1 and audio fragment 3 in audio fragment set 1
Duration information determine the contribution margin that audio fragment set 1 is worth copyright, for example, the contribution margin of the audio fragment set 1
Can be that the duration of the audio fragment 1 and audio fragment 3 in multi-medium data set of segments 1 accounts for the duration of the audio data
Ratio, it is assumed that contribution margin is that Mi (i=1,2,3) so audio fragment set 1 can be M1=35/ to the contribution margin that copyright is worth
83, can also corresponding contribution coefficient, such as sound be set according to information such as the contents of each audio fragment in audio fragment set 1
The contribution coefficient of frequency segment 1 and audio fragment 3 is respectively g11, g12, then the contribution margin can also be M1=g11 × (15/
83)+g12×(20/83).It is merely possible to example above to illustrate the method for determination of contribution margin, the disclosure is to specific true
The mode for determining contribution margin is not construed as limiting.
It, can also be to the multimedia number in sorted multi-medium data set of segments in a kind of possible embodiment
Duplicate removal merging is carried out according to segment.For example, as shown in figure 3, when a length of 15 minutes (m), the artificial B1 of copyright of audio fragment 1,
When a length of 20min, the artificial B2 of copyright of audio fragment 2, when a length of 20min, the artificial B1 of copyright of audio fragment 3, audio fragment 4
When a length of 18min, the artificial B3 of copyright, when a length of 10min, the artificial B2 of copyright of audio fragment 5, audio total duration is 83min.
Audio fragment 1 and audio fragment 3 are divided and obtain audio fragment set 1 for one kind, it is one that audio fragment 2 and audio fragment 5, which are divided,
Class obtains audio fragment set 2, and audio fragment 4 is as audio fragment set 3.Wherein, audio fragment 1 and audio fragment 3 are complete
It is misaligned, duplicate removal merging need not be carried out；Audio fragment 2 and audio fragment 5 partially overlap, for example, after audio fragment 2
5min is overlapped with the preceding 5min of audio fragment 5, after duplicate removal merges, the when a length of 25min of audio fragment set 2.Based on this, audio
The contribution margin of set of segments 2 can be M2=25/83.The data that the above duplicate removal merges are only an example, be shall not be construed as
Restriction to disclosure range can also be that other modes, such as the centre of audio fragment 2 have 5min and audio fragment 5
Preceding 5min is overlapped, and can be rejected the preceding 5min of audio fragment 5 and be carried out duplicate removal processing etc., the disclosure is not construed as limiting this.
Identical mode may be used for video clip to classify, obtain one or more video clip collection and be merged into
The subsequent processing of row, repeats no more.
It can be according to the copyright information to multimedia in multiple multi-medium data segments identical there are copyright information
Data slot is classified, and one or more multi-medium data set of segments are obtained, and passes through the determination multi-medium data segment
Set directly determines the contribution margin that copyright is worth the contribution margin of a certain copyright owner, can simplify calculating, saves computing resource.Separately
Outside, to the identical multi-medium data segment duplicate removal of copyright information merge can be more acurrate, fair the corresponding contribution margin of acquisition, more
Conducive to the equity of protection copyright owner.
Fig. 6 shows the flow chart of the method for the step S14 according to one embodiment of the disclosure.As shown in fig. 6, in a kind of possibility
Embodiment in, step S14 includes：
Step S141, according to the contribution margin of multi-medium data set of segments and the corresponding copyright of multi-medium data set of segments
Information determines the copyright value of the multi-medium data set of segments.
As described above, copyright information can be the film-maker of video clip, such as XX film studios, XX producer etc.,
Can also be composer, the songwriter etc. of audio fragment.It can be believed according to the contribution margin and copyright of multi-medium data set of segments
Breath determines the copyright value of the multi-medium data set of segments.For example, the influence that different copyright owners is worth copyright
The works of difference, more professional or more well-known copyright owner are often worth bigger, therefore, can be according to multi-medium data set of segments
Contribution margin and copyright information in copyright owner determine multi-medium data segment copyright value.
In a kind of possible embodiment, can according to the influence power of copyright owner's works in copyright information, popularity,
The information such as professional determine weight coefficient Ki (i=[1,2 ... N]), by taking example shown in Fig. 3 as an example, it is assumed that multi-medium data piece
The copyright value of Duan Jihe is Zi (i=[1,2 ... N]), and the copyright value of audio fragment set 1 can be Z1=K1 × M1, example
If K1 can be 0.5.
It can more rapidly, accurately according to the method that the copyright of the assessment multi-medium data of disclosure the above embodiment is worth
Each copyright owner's works of acquisition corresponding copyright value.
Fig. 7 shows the flow chart of the method for the copyright value of the assessment multi-medium data according to one embodiment of the disclosure.Such as
Shown in Fig. 7, the method can also include：
Step S15 rejects part multi-medium data segment according to the corresponding attribute information of each multi-medium data segment.
For example, the segment that impact factor is small in each multi-medium data segment can be rejected, for example, can according to when
Between dimension or multimedia content etc. determine impact factor size.Determine that the size of impact factor can be according to time dimension
Refer to and determine the shortest one or more segments of duration information in each multi-medium data segment, and rejects these segments.
In a kind of possible embodiment, the attribute information can also include the interior of corresponding multi-medium data segment
Hold classification information (for example, sport category, amusement class etc.).It can also determine that the size of impact factor, citing are come according to content type
It says, the corresponding impact factor of each content type can be preset, determine that the content type of each multi-medium data segment corresponds to
Impact factor minimum one or more segments, and reject these segments.It can also be according to each multi-medium data segment
The similarity of content determines the part multi-media segment rejected, for example, in the content type information of multi-medium data segment and its
In the case of the content type information difference of his multi-medium data segment, the different multimedia number of content type information is rejected
According to segment.Such as a certain multi-medium data segment SP is sport category, other multi-medium data segments are all amusement class, then can
To reject multi-medium data segment SP；Alternatively, the hop count of the multi-medium data segment of a certain content type is minimum, reject corresponding
Multi-medium data segment.
In a kind of possible embodiment, part multi-medium data segment can also be rejected according to copyright information.Such as
It says, can judge whether the copyright information meets the first preset condition according to the copyright information of each multi-medium data segment,
Such as first preset condition can be free audio and video or the audio and video etc. of batch payment, meeting first preset condition
In the case of can reject corresponding one or more multi-medium data segments.
The tn that t1+t2+ met for the duration information of remaining multi-medium data segment after rejecting ...<T, contribution coefficient and when
Long message meets A1 × t1+A2 × t2+ ...+An × tn<T, wherein n<N.
The step of after no longer being carried out for the multi-medium data segment of rejecting (S13, S14), only according to remaining after rejecting
Multi-medium data segment determine corresponding contribution margin and copyright value (step S13 and step S14), can also be according to remaining
Multi-medium data segment carries out the processing of step S131, step S132 and step S141 as shown in Figure 6.The disclosure to this not
It is construed as limiting.
It should be noted that being merely exemplary to illustrate with upper type, it is understood by one of ordinary skill in the art that the disclosure
It answers without being limited thereto.In fact, user can flexibly set completely according to personal like and/or practical application scene determines impact factor
Factor, for example, impact factor can be determined in conjunction with duration information, copyright information and the content type three in attribute information
Size.
Embodiment 2
Fig. 8 shows the block diagram of the device of the copyright value of the assessment multi-medium data according to one embodiment of the disclosure, described
Device can be applied to server etc..As shown in figure 8, the device includes：Extraction module 91, segmentation module 92, first determine mould
Block 93 and the second determining module 94.
Extraction module 91, the characteristic information for extracting multi-medium data.
Segmentation module 92 is used for according to the characteristic information sample in the characteristic information and characteristic information library to more matchmakers
Volume data is segmented, and is obtained one or more snippets multi-medium data segment and is determined the corresponding attribute letter of each multi-medium data segment
Breath, the attribute information includes the duration information and copyright information of corresponding multi-medium data segment.
First determining module 93 is used for the duration of the duration information and the multi-medium data according to multi-medium data segment
Information determines the contribution margin that the multi-medium data segment is worth copyright.
Second determining module 94 determines more matchmakers for the contribution margin and copyright information according to multi-medium data segment
The copyright of volume data segment is worth.
By extracting the characteristic information of multi-medium data and to multi-medium data be segmented according to the characteristic information
To multi-medium data segment, and determine the corresponding attribute information of every section of multi-medium data segment, according to the attribute information when
Long message and copyright information determine the copyright value of the multi-medium data segment.According to the assessment of disclosure the above embodiment
The device of the copyright value of multi-medium data can realize sentencing for different multimedia data slot copyright ownership in multi-medium data
It is disconnected, and can determine the contribution margin and copyright value of different multimedia data slot, so that it is determined that different fragments copyright
Ownership and weight preferably protect the equity of copyright owner.
Fig. 9 shows the block diagram of the device of the copyright value of the assessment multi-medium data according to one embodiment of the disclosure.Such as Fig. 9
It is shown,
In a kind of possible embodiment, the multi-medium data is audio, video data,
The extraction module 91 includes：Decapsulation unit 911, in the first extraction unit 912, the second extraction unit 913
It is one or more.
Decapsulation unit 911, for decapsulating the multi-medium data to obtain audio data and video data.
First extraction unit 912, the audio-frequency fingerprint for extracting the audio data.
Second extraction unit 913, the video finger print for extracting the video data.
In a kind of possible embodiment, the segmentation module 92 includes：The segmentation of first segmenting unit 924 and second is single
One or more of member 925.
First segmenting unit 924 is used for according to the audio-frequency fingerprint sample in audio-frequency fingerprint and audio-frequency fingerprint library to the sound
Frequency obtains one or more snippets audio fragment and determines the corresponding attribute information of each audio fragment according to being segmented.
Second segmenting unit 925, for being regarded to described according to the video finger print sample in video finger print and video finger print library
Frequency obtains one or more snippets video clip and determines the corresponding attribute information of each video clip according to being segmented.
In a kind of possible embodiment, the segmentation module 92 includes：
Matching unit 921, for by the characteristic information sample in the characteristic information of multi-medium data and characteristic information library into
Row matching；
Segmenting unit 922 is determined, in the characteristic information of the multi-medium data in a period of time and characteristic information library
Characteristic information sample matches success, and the multi-medium data of described a period of time all multimedia label having the same the case where
Under, using the multi-medium data of described a period of time as multi-medium data segment,
Information extraction unit 923, for corresponding with the duration information of described a period of time and the characteristic information sample
Duration information and copyright information of the copyright information as the multi-medium data segment.
In a kind of possible embodiment, first determining module 93 includes：Taxon 931 and first determines single
Member 932.
Taxon 931 obtains one or more for classifying to multi-medium data segment according to the copyright information
A multi-medium data set of segments；
First determination unit 932, for the when long letter according to each multi-medium data segment in multi-medium data set of segments
The duration information of breath and the multi-medium data determines the contribution margin that the multi-medium data set of segments is worth copyright.
In a kind of possible embodiment, second determining module 94 includes：Second determination unit 941.
Second determination unit 941, for the contribution margin and multi-medium data segment collection according to multi-medium data set of segments
Corresponding copyright information is closed, determines the copyright value of the multi-medium data set of segments
In a kind of possible embodiment, described device further includes：Reject module 95.
Module 95 is rejected, for rejecting part multi-medium data according to the corresponding attribute information of each multi-medium data segment
Segment.
In a kind of possible embodiment, the attribute information further includes content type information；
The rejecting module 95 includes：
Culling unit 951, for the content type information and other multi-medium data segments in multi-medium data segment
In the case of content type information difference, the different multi-medium data segment of content type information is rejected.
Embodiment 3
Figure 10 is a kind of device 1900 of the copyright value of assessment multi-medium data shown according to an exemplary embodiment
Block diagram.For example, device 1900 may be provided as a server.Referring to Fig.1 0, device 1900 includes processing component 1922,
Further comprise one or more processors and memory resource represented by a memory 1932, it can be by for storing
Manage the instruction of the execution of component 1922, such as application program.The application program stored in memory 1932 may include one or
It is more than one each correspond to one group of instruction module.In addition, processing component 1922 is configured as executing instruction, to execute
The above method.
Device 1900 can also include that a power supply module 1926 be configured as the power management of executive device 1900, one
Wired or wireless network interface 1950 is configured as device 1900 being connected to network and input and output (I/O) interface
1958.Device 1900 can be operated based on the operating system for being stored in memory 1932, such as Windows ServerTM, Mac
OS XTM, UnixTM, LinuxTM, FreeBSDTM or similar.
In the exemplary embodiment, it includes the non-volatile computer readable storage medium storing program for executing instructed, example to additionally provide a kind of
Such as include the memory 1932 of instruction, above-metioned instruction can be executed by the processing component 1922 of device 1900 to complete the above method.
The disclosure can be system, method and/or computer program product.Computer program product may include computer
Readable storage medium storing program for executing, containing for making processor realize the computer-readable program instructions of various aspects of the disclosure.
Computer readable storage medium can be can keep and store the instruction used by instruction execution equipment tangible
Equipment.Computer readable storage medium for example can be-- but be not limited to-- storage device electric, magnetic storage apparatus, optical storage
Equipment, electromagnetism storage device, semiconductor memory apparatus or above-mentioned any appropriate combination.Computer readable storage medium
More specific example (non exhaustive list) includes：Portable computer diskette, random access memory (RAM), read-only is deposited hard disk
It is reservoir (ROM), erasable programmable read only memory (EPROM or flash memory), static RAM (SRAM), portable
Compact disk read-only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanical coding equipment, for example thereon
It is stored with punch card or groove internal projection structure and the above-mentioned any appropriate combination of instruction.Calculating used herein above
Machine readable storage medium storing program for executing is not interpreted that instantaneous signal itself, the electromagnetic wave of such as radio wave or other Free propagations lead to
It crosses the electromagnetic wave (for example, the light pulse for passing through fiber optic cables) of waveguide or the propagation of other transmission mediums or is transmitted by electric wire
Electric signal.
Computer-readable program instructions as described herein can be downloaded to from computer readable storage medium it is each calculate/
Processing equipment, or outer computer or outer is downloaded to by network, such as internet, LAN, wide area network and/or wireless network
Portion's storage device.Network may include copper transmission cable, optical fiber transmission, wireless transmission, router, fire wall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
For execute the disclosure operation computer program instructions can be assembly instruction, instruction set architecture (ISA) instruction,
Machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programming languages
Arbitrarily combine the source code or object code write, the programming language include the programming language-of object-oriented such as
Smalltalk, C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer
Readable program instructions can be executed fully, partly execute on the user computer, is only as one on the user computer
Vertical software package executes, part executes or on the remote computer completely in remote computer on the user computer for part
Or it is executed on server.In situations involving remote computers, remote computer can pass through network-packet of any kind
It includes LAN (LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as profit
It is connected by internet with ISP).In some embodiments, by using computer-readable program instructions
Status information carry out personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or can
Programmed logic array (PLA) (PLA), the electronic circuit can execute computer-readable program instructions, to realize each side of the disclosure
Face.
Referring herein to according to the flow chart of the method, apparatus (system) of the embodiment of the present disclosure and computer program product and/
Or block diagram describes various aspects of the disclosure.It should be appreciated that flowchart and or block diagram each box and flow chart and/
Or in block diagram each box combination, can be realized by computer-readable program instructions.
These computer-readable program instructions can be supplied to all-purpose computer, special purpose computer or other programmable datas
The processor of processing unit, to produce a kind of machine so that these instructions are passing through computer or other programmable datas
When the processor of processing unit executes, work(specified in one or more of implementation flow chart and/or block diagram box is produced
The device of energy/action.These computer-readable program instructions can also be stored in a computer-readable storage medium, these refer to
It enables so that computer, programmable data processing unit and/or other equipment work in a specific way, to be stored with instruction
Computer-readable medium includes then a manufacture comprising in one or more of implementation flow chart and/or block diagram box
The instruction of the various aspects of defined function action.
Computer-readable program instructions can also be loaded into computer, other programmable data processing units or other
In equipment so that series of operation steps are executed on computer, other programmable data processing units or miscellaneous equipment, with production
Raw computer implemented process, so that executed on computer, other programmable data processing units or miscellaneous equipment
Instruct function action specified in one or more of implementation flow chart and/or block diagram box.
Flow chart and block diagram in attached drawing show the system, method and computer journey of multiple embodiments according to the disclosure
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
One module of table, program segment or a part for instruction, the module, program segment or a part for instruction include one or more use
The executable instruction of the logic function as defined in realization.In some implementations as replacements, the function of being marked in box
It can occur in a different order than that indicated in the drawings.For example, two continuous boxes can essentially be held substantially in parallel
Row, they can also be executed in the opposite order sometimes, this is depended on the functions involved.It is also noted that block diagram and/or
The combination of each box in flow chart and the box in block diagram and or flow chart can use function or dynamic as defined in executing
The dedicated hardware based system made is realized, or can be realized using a combination of dedicated hardware and computer instructions.
The presently disclosed embodiments is described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes will be apparent from for the those of ordinary skill in art field.The selection of term used herein, purport
In the principle, practical application or technological improvement to the technology in market for best explaining each embodiment, or this technology is made to lead
Other those of ordinary skill in domain can understand each embodiment disclosed herein.
Claims (17)
1. a kind of method of the copyright value of assessment multi-medium data, which is characterized in that including：
Extract the characteristic information of multi-medium data；
The multi-medium data is segmented according to the characteristic information sample in the characteristic information and characteristic information library, is obtained
One or more snippets multi-medium data segment simultaneously determines that the corresponding attribute information of each multi-medium data segment, the attribute information include
The duration information and copyright information of corresponding multi-medium data segment；
The multi-medium data is determined according to the duration information of the duration information of multi-medium data segment and the multi-medium data
The contribution margin that segment is worth copyright；
According to the contribution margin and copyright information of multi-medium data segment, the copyright value of the multi-medium data segment is determined.
2. the method for the copyright value of assessment multi-medium data according to claim 1, which is characterized in that the multimedia
Data are audio, video data,
The characteristic information of multi-medium data is extracted, including：
It decapsulates the multi-medium data to obtain audio data and video data；
Extract the audio-frequency fingerprint of the audio data；
And/or
Extract the video finger print of the video data.
3. the method for the copyright value of assessment multi-medium data according to claim 2, which is characterized in that according to the spy
Reference, which is ceased, is segmented the multi-medium data with the characteristic information sample in characteristic information library, obtains one or more snippets more matchmaker
Volume data segment simultaneously determines the corresponding attribute information of each multi-medium data segment, including：
The audio data is segmented according to the audio-frequency fingerprint sample in audio-frequency fingerprint and audio-frequency fingerprint library, obtain one section or
Multistage audio fragment simultaneously determines the corresponding attribute information of each audio fragment；
And/or
The video data is segmented according to the video finger print sample in video finger print and video finger print library, obtain one section or
Multistage video clip simultaneously determines the corresponding attribute information of each video clip.
4. the method for assessing the copyright value of multi-medium data according to claim 1-3 any one of them, which is characterized in that root
The multi-medium data is segmented according to the characteristic information sample in the characteristic information and characteristic information library, obtain one section or
Multistage multi-medium data segment simultaneously determines the corresponding attribute information of each multi-medium data segment, including：
The characteristic information of multi-medium data is matched with the characteristic information sample in characteristic information library；
Characteristic information in the multi-medium data of a period of time and the characteristic information sample matches success in characteristic information library, and institute
In the case of the multi-medium data multimedia label all having the same for stating a period of time, by the multimedia number of described a period of time
According to as multi-medium data segment,
Using the duration information of described a period of time and the corresponding copyright information of the characteristic information sample as the multimedia number
According to the duration information and copyright information of segment.
5. the method for the copyright value of assessment multi-medium data according to claim 1, which is characterized in that according to multimedia
The duration information of the duration information of data slot and the multi-medium data determines that the multi-medium data segment is worth copyright
Contribution margin, including：
Classified to multi-medium data segment according to the copyright information, obtains one or more multi-medium data segment collection
It closes；
According to the duration of the duration information and the multi-medium data of each multi-medium data segment in multi-medium data set of segments
Information determines the contribution margin that the multi-medium data set of segments is worth copyright.
6. the method for the copyright value of assessment multi-medium data according to claim 5, which is characterized in that according to multimedia
The contribution margin of data slot determines the copyright value of the multi-medium data segment, including：
According to the contribution margin of multi-medium data set of segments and the corresponding copyright information of multi-medium data set of segments, determine described in
The copyright of multi-medium data set of segments is worth.
7. the method for the copyright value of assessment multi-medium data according to claim 1, which is characterized in that the method is also
Including：
Part multi-medium data segment is rejected according to the corresponding attribute information of each multi-medium data segment.
8. the method for the copyright value of assessment multi-medium data according to claim 7, which is characterized in that
The attribute information further includes content type information；
Part multi-medium data segment is rejected according to the corresponding attribute information of each multi-medium data segment, including：
In the content type information of the multi-medium data segment feelings different from the content type information of other multi-medium data segments
Under condition, the different multi-medium data segment of content type information is rejected.
9. a kind of device of the copyright value of assessment multi-medium data, which is characterized in that including：
Extraction module, the characteristic information for extracting multi-medium data；
Segmentation module is used for according to the characteristic information sample in the characteristic information and characteristic information library to the multi-medium data
It is segmented, obtains one or more snippets multi-medium data segment and determines the corresponding attribute information of each multi-medium data segment, institute
State the duration information and copyright information that attribute information includes corresponding multi-medium data segment；
First determining module, for true according to the duration information of multi-medium data segment and the duration information of the multi-medium data
The contribution margin that the fixed multi-medium data segment is worth copyright；
Second determining module determines the multi-medium data for the contribution margin and copyright information according to multi-medium data segment
The copyright of segment is worth.
10. the device of the copyright value of assessment multi-medium data according to claim 9, which is characterized in that more matchmakers
Volume data is audio, video data,
The extraction module includes：
Decapsulation unit, for decapsulating the multi-medium data to obtain audio data and video data；
First extraction unit, the audio-frequency fingerprint for extracting the audio data；
And/or
Second extraction unit, the video finger print for extracting the video data.
11. the device of the copyright value of assessment multi-medium data according to claim 10, which is characterized in that the segmentation
Module includes：
First segmenting unit, for according to the audio-frequency fingerprint sample in audio-frequency fingerprint and audio-frequency fingerprint library to the audio data into
Row segmentation obtains one or more snippets audio fragment and determines the corresponding attribute information of each audio fragment；
And/or
Second segmenting unit, for according to the video finger print sample in video finger print and video finger print library to the video data into
Row segmentation obtains one or more snippets video clip and determines the corresponding attribute information of each video clip.
12. assessing the device of the copyright value of multi-medium data according to claim 9-11 any one of them, which is characterized in that
The segmentation module includes：
Matching unit, for matching the characteristic information of multi-medium data with the characteristic information sample in characteristic information library；
Determine segmenting unit, characteristic information and the characteristic information in characteristic information library for the multi-medium data in a period of time
Sample matches success, and in the case of the multi-medium data of described a period of time multimedia label all having the same, it will be described
The multi-medium data of a period of time as multi-medium data segment,
Information extraction unit, for the duration information of described a period of time and the corresponding copyright information of the characteristic information sample
Duration information and copyright information as the multi-medium data segment.
13. the device of the copyright value of assessment multi-medium data according to claim 9, which is characterized in that described first
Determining module includes：
Taxon obtains one or more more matchmakers for classifying to multi-medium data segment according to the copyright information
Volume data set of segments；
First determination unit, for according to the duration information of each multi-medium data segment in multi-medium data set of segments and described
The duration information of multi-medium data determines the contribution margin that the multi-medium data set of segments is worth copyright.
14. the device of the copyright value of assessment multi-medium data according to claim 13, which is characterized in that described second
Determining module includes：
Second determination unit, for corresponding according to the contribution margin and multi-medium data set of segments of multi-medium data set of segments
Copyright information determines the copyright value of the multi-medium data set of segments.
15. the device of the copyright value of assessment multi-medium data according to claim 9, which is characterized in that described device
Further include：
Module is rejected, for rejecting part multi-medium data segment according to the corresponding attribute information of each multi-medium data segment.
16. the device of the copyright value of assessment multi-medium data according to claim 15, which is characterized in that
The attribute information further includes content type information；
The rejecting module includes：
Culling unit, the content type for content type information and other multi-medium data segments in multi-medium data segment
In the case of information difference, the different multi-medium data segment of content type information is rejected.
17. a kind of device of the copyright value of assessment multi-medium data, which is characterized in that including：
Processor；
Memory for storing processor-executable instruction；
Wherein, the processor is configured as：
Extract the characteristic information of multi-medium data；
The multi-medium data is segmented according to the characteristic information sample in the characteristic information and characteristic information library, is obtained
One or more snippets multi-medium data segment simultaneously determines that the corresponding attribute information of each multi-medium data segment, the attribute information include
The duration information and copyright information of corresponding multi-medium data segment；
The multi-medium data is determined according to the duration information of the duration information of multi-medium data segment and the multi-medium data
The contribution margin that segment is worth copyright；
According to the contribution margin and copyright information of multi-medium data segment, the copyright value of the multi-medium data segment is determined.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710261147.XA CN108734491B (en) | 2017-04-20 | 2017-04-20 | Method and device for evaluating copyright value of multimedia data |
| PCT/CN2018/076561 WO2018192299A1 (en) | 2017-04-20 | 2018-02-12 | Method and device for appraising copyright value of multimedia data |
| TW107107984A TWI705705B (en) | 2017-04-20 | 2018-03-09 | Method and device for evaluating copyright value of multimedia data |
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| TW201840203A (en) | 2018-11-01 |
| WO2018192299A1 (en) | 2018-10-25 |
| CN108734491B (en) | 2023-04-07 |
| TWI705705B (en) | 2020-09-21 |
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