CN108734491B - Method and device for evaluating copyright value of multimedia data - Google Patents
Method and device for evaluating copyright value of multimedia data Download PDFInfo
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Abstract
The present disclosure relates to a method and apparatus for evaluating copyright value of multimedia data, the method including: segmenting the multimedia data according to the characteristic information of the multimedia data and characteristic information samples in a characteristic information base to obtain multimedia data segments and determining attribute information corresponding to each multimedia data segment; determining the contribution value of the multimedia data fragment to the copyright value according to the attribute information; and determining the copyright value of the multimedia data segment according to the contribution value and the copyright information of the multimedia data segment. According to the method and the device for evaluating the copyright value of the multimedia data, the judgment of the attribution of the copyrights of different multimedia data segments in the multimedia data can be realized, and the contribution values and the copyright values of the different multimedia data segments can be determined, so that the attribution and the weights of the copyrights of the different segments are determined, the copyright value of the media data is evaluated more accurately, and the rights and interests of copyright holders are protected better.
Description
Technical Field
The present disclosure relates to the field of multimedia technologies, and in particular, to a method and an apparatus for evaluating a copyright value of multimedia data.
Background
The copyright protection problem of digital video is increasingly receiving wide attention of users, and the copyright of audio data and the copyright of video data can be respectively identified and protected by detecting the fingerprint information of the audio data and the video data in the video.
At present, the number of users of a UPGC (User & Professional Generated Content) is increasing, and for some multimedia data including audio and/or video from different copyright sources, which are obtained by editing and recombining multimedia segments and are shared (uploaded) by users of the UPGC, the copyright ownership is more complicated, and the accurate judgment and evaluation of the copyright ownership and the value are difficult to realize by simply detecting the copyright of the audio data or the video data, so that the copyright of a copyright person cannot be well protected.
Disclosure of Invention
In view of this, the present disclosure provides a method and an apparatus for evaluating copyright value of multimedia data, which implement judgment of copyright attribution of different multimedia data segments in the multimedia data, and can determine the copyright value of a multimedia data segment, thereby being beneficial to protecting rights and interests of copyright holders.
According to an aspect of the present disclosure, there is provided a method of evaluating a copyright value of multimedia data, including: extracting characteristic information of the multimedia data; segmenting the multimedia data according to the characteristic information and characteristic information samples in a characteristic information base to obtain one or more segments of multimedia data and determine attribute information corresponding to each segment of multimedia data, wherein the attribute information comprises duration information and copyright information of the corresponding segment of multimedia data; determining the contribution value of the multimedia data fragment to the copyright value according to the duration information of the multimedia data fragment and the duration information of the multimedia data; and determining the copyright value of the multimedia data segment according to the contribution value and the copyright information of the multimedia data segment.
According to another aspect of the present disclosure, there is provided an apparatus for evaluating a copyright value of multimedia data, including: the extraction module is used for extracting the characteristic information of the multimedia data; the segmenting module is used for segmenting the multimedia data according to the characteristic information and characteristic information samples in the characteristic information base to obtain one or more segments of multimedia data and determine attribute information corresponding to each segment of multimedia data, wherein the attribute information comprises duration information and copyright information of the corresponding segment of multimedia data; the first determining module is used for determining the contribution value of the multimedia data segment to the copyright value according to the duration information of the multimedia data segment and the duration information of the multimedia data; and the second determining module is used for determining the copyright value of the multimedia data segment according to the contribution value and the copyright information of the multimedia data segment.
According to another aspect of the present disclosure, there is provided an apparatus for evaluating a copyright value of multimedia data, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the above method.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium having instructions therein, which when executed by a processor of a terminal and/or a server, enable the terminal and/or the server to perform the above-described method.
The method comprises the steps of extracting characteristic information of multimedia data, segmenting the multimedia data according to the characteristic information to obtain multimedia data segments, determining attribute information corresponding to each segment of the multimedia data segment, and determining the copyright value of each multimedia data segment according to duration information and copyright information of the attribute information. According to the method and the device for evaluating the copyright value of the multimedia data, the judgment of the attribution of the copyright of different multimedia data segments in the multimedia data can be realized, and the contribution values and the copyright values of the different multimedia data segments can be determined, so that the attribution and the weights of the copyright of the different segments can be determined, the copyright value of the media data can be evaluated more accurately, and the rights and interests of copyright holders can be better protected.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 illustrates a flowchart of a method of evaluating a copyright value of multimedia data according to an embodiment of the present disclosure.
Fig. 2 shows a flow diagram of the step S12 method according to an embodiment of the present disclosure.
Fig. 3 illustrates a schematic diagram of a method of evaluating a copyright value of multimedia data according to an embodiment of the present disclosure.
Fig. 4 illustrates a flowchart of a method of evaluating a copyright value of multimedia data according to an embodiment of the present disclosure.
Fig. 5 shows a flowchart of the method of step S13 according to an embodiment of the present disclosure.
Fig. 6 shows a flowchart of the method of step S14 according to an embodiment of the present disclosure.
Fig. 7 illustrates a flowchart of a method of evaluating a copyright value of multimedia data according to an embodiment of the present disclosure.
Fig. 8 illustrates a block diagram of an apparatus for evaluating a copyright value of multimedia data according to an embodiment of the present disclosure.
Fig. 9 illustrates a block diagram of an apparatus for evaluating a copyright value of multimedia data according to an embodiment of the present disclosure.
Fig. 10 illustrates a block diagram of an apparatus for evaluating a copyright value of multimedia data according to an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the subject matter of the present disclosure.
Example 1
Fig. 1 illustrates a flowchart of a method of evaluating a copyright value of multimedia data according to an embodiment of the present disclosure, which may be applied to a server or the like. As shown in fig. 1, the method includes:
s11, extracting characteristic information of the multimedia data;
step S12, segmenting the multimedia data according to the characteristic information and characteristic information samples in a characteristic information base to obtain one or more segments of multimedia data and determine attribute information corresponding to each segment of multimedia data, wherein the attribute information comprises duration information and copyright information of the corresponding segment of multimedia data;
step S13, determining the contribution value of the multimedia data fragment to the copyright value according to the duration information of the multimedia data fragment and the duration information of the multimedia data;
and S14, determining the copyright value of the multimedia data segment according to the contribution value and the copyright information of the multimedia data segment.
The method comprises the steps of extracting characteristic information of multimedia data, segmenting the multimedia data according to the characteristic information to obtain multimedia data segments, determining attribute information corresponding to each segment of the multimedia data segment, and determining the copyright value of each multimedia data segment according to duration information and copyright information of the attribute information. According to the method for evaluating the copyright value of the multimedia data, which is disclosed by the embodiment of the disclosure, the judgment of the copyright attribution of different multimedia data segments in the multimedia data can be realized, and the contribution values and the copyright values of the different multimedia data segments can be determined, so that the attribution and the weight of the copyright of the different multimedia data segments can be determined, the copyright value of the media data can be evaluated more accurately, and the rights and interests of copyright holders can be better protected.
The characteristic information may be any information capable of representing or distinguishing characteristics of the multimedia data, such as fingerprint information. The multimedia data may be, for example, audio data, or video data including audio and video. Taking the audio data as an example, the feature information may be audio fingerprints (audio fingerprints), where the audio fingerprints are unique feature information that can identify the audio data, and can be used for identification, copyright protection, and the like of the audio data, and each extracted audio fingerprint is accompanied by one time information, for example, each frame of a 15s music piece is extracted separately, and often tens of thousands of fingerprints need to be extracted, and each fingerprint may correspond to one time point in the music piece. The method for extracting the feature information of the multimedia feature data may use related algorithms in the prior art, such as echoprint, chromaprint, landmark, and the like, which is not limited by this disclosure.
After the audio fingerprint is extracted, a corresponding audio fingerprint sample may be searched in an audio fingerprint library, where the audio fingerprint library may store a list, and each entry stores an audio fingerprint sample and an audio tag corresponding to the audio fingerprint sample, where the audio tag may be an audio ID. The audio ID is obtained through the audio fingerprint sample searched in the audio fingerprint library, so that the audio data is segmented according to the audio ID to obtain one or more audio clips, and the duration information and the copyright information of the corresponding audio clip can be determined according to the audio ID. The copyright information may be a producer of the video clip, such as XX movie studio, XX producer, etc., or a composer, word maker, etc. of the audio clip.
For example, as shown in fig. 2, fig. 2 shows a flowchart of the step S12 method according to an embodiment of the present disclosure. In step S12, segmenting the multimedia data according to the feature information and the feature information samples in the feature information base to obtain one or more segments of multimedia data and determine attribute information corresponding to each segment of multimedia data, specifically including:
step S121, matching the characteristic information of the multimedia data with the characteristic information samples in the characteristic information base;
step S122, when the feature information of the multimedia data of a period of time is successfully matched with the feature information samples in the feature information base and the multimedia data of the period of time has the same multimedia tags, taking the multimedia data of the period of time as a multimedia data segment;
step S123, using the duration information of the period of time and the copyright information corresponding to the characteristic information sample as the duration information and the copyright information of the multimedia data segment.
The multimedia tag may be information for identifying uniqueness of multimedia, such as information of multimedia ID, and the multimedia tag may be stored in correspondence with the feature information sample in the feature information library, and when matching between the feature information of the multimedia data and the feature information sample in the feature information library is successful, the multimedia tag corresponding to the feature information sample that is successfully matched is used as the multimedia tag of the multimedia data. The corresponding relation between the multimedia tag and the copyright information can be established, so that the copyright information of the multimedia data or the multimedia data segment can be determined through the multimedia tag.
Still taking the audio data as an example, as can be known from the above description, the extracted feature information (e.g., the above audio fingerprint) of the multimedia data is accompanied by a time information (e.g., a time point in the current audio), the audio fingerprint is matched with the audio fingerprint sample in the audio fingerprint library, and if the matching is successful, the audio ID corresponding to the audio fingerprint sample can be obtained as the audio ID of the audio data at the time point. Under the condition that the audio fingerprints of the audio data of a period of time are successfully matched with the audio fingerprint samples in the audio fingerprint database and the audio data of the period of time have the same audio ID, the audio data of the period of time can be used as an audio fragment, the duration information of the audio fragment can be determined according to the time information accompanied by the audio fingerprints, and the corresponding copyright information can be determined according to the audio ID.
The multimedia data is segmented through the characteristic information (such as audio and video fingerprints) of the multimedia data, the copyright attribution and contribution value to the copyright value of each segment of the multimedia data can be determined, the copyright value of the media data can be more accurately evaluated, and the rights and interests of copyright holders can be protected.
It should be noted that, although the method of evaluating the copyright value of multimedia data is described above by taking audio data as an example, those skilled in the art will appreciate that the present disclosure should not be limited thereto. In fact, the user can determine the application scene completely according to the requirement, for example, the application scene can also be applied to video data and the like.
In step S13, the contribution value of the multimedia data segment to the copyright value may be a ratio of a duration of the multimedia data segment to a duration of the multimedia data, for example, a segment of multimedia data is divided into N multimedia data segments (P1, P2, \8230;, PN), and the attribute information of each multimedia data segment may be Pi (ti, bi), where ti represents duration information of the ith segment of multimedia data, bi represents copyright information of the ith segment of multimedia data, T1+ T2+ \8230, tN = T, and T is a total duration of the multimedia data. The contribution value of the ith segment of multimedia data segment may be ti/T.
The contribution value of the multimedia data segment may also be determined according to the corresponding contribution coefficient, where the contribution coefficient may be determined according to duration information, content information, influence, and the like of the multimedia data segment, for example, the longer the duration is, the more professional the content is, or the more user comments are, the higher the corresponding contribution coefficient is. For example, if the contribution coefficient of each multimedia data segment is Ai according to the above factors, the contribution value of the ith segment of multimedia data segment may be Ai × ti/T. The contribution coefficient can meet the conditions of A1 × T1+ A2 × T2+ \8230, + AN × tN = T, namely A1+ A2+ \8230, + AN =1.
In another example, the contribution value of the multimedia data segment to the copyright value may also be determined directly from the contribution coefficient.
For example, as shown in fig. 3, a schematic diagram of a method for evaluating copyright value of multimedia data according to an embodiment of the present disclosure, the method divides a segment of audio data into 5 segments as shown in the figure, which are audio segments 1-5 respectively. The duration of the audio segment 1 is 15 minutes (min), the duration of the audio segment 2 is 20min, the duration of the audio segment 3 is 20min, the duration of the audio segment 4 is 18min, the duration of the audio segment 5 is 10min, the total audio duration is 83min, and if the contribution value is Gi (i =1,2,3,4, 5), the contribution value of the audio segment 1 to the copyright value may be G1=15/83, and a corresponding contribution coefficient may be set according to information such as the content of the audio segment 1, and the contribution value may also be G1= A1 × (15/83). The above description is made only by way of example to determine the contribution value, and the present disclosure does not limit the manner in which the contribution value is specifically determined.
In step S14, the copyright information may be any information indicating the copyright ownership of the multimedia segment, such as a producer of the video segment, e.g., XX movie studio, XX producer, etc., or a composer, word writer, etc. of the audio segment. The copyright value of the multimedia data segment may be determined based on the contribution value and copyright information of the multimedia data segment. For example, different copyright owners have different effects on the copyright value, and more professional or well-known copyright owners tend to have greater value in their works, so that the copyright value of a multimedia data segment can be determined according to the contribution value of the multimedia data segment and the copyright owner in the copyright information.
In one possible implementation, the weighting factor K may be determined according to information such as influence, popularity, and professionalism of copyrighted works in the copyright information, and assuming that the copyright value of the multimedia data segment is Yi (i = [1,2 \8230n ]), and the copyright value of the audio segment 1 may be Y1= K1 × G1, as an example shown in fig. 3. The copyright value may be used to determine the rights and interests of the copyright owner, for example, sharing revenue, paying fees, adding points, etc. according to the copyright value.
Fig. 4 illustrates a flowchart of a method of evaluating a copyright value of multimedia data according to an embodiment of the present disclosure.
In a possible implementation manner, the multimedia data is audio/video data, and as shown in fig. 4, the extracting the feature information of the multimedia data in step S11 may include:
step S111, decapsulating the multimedia data to obtain audio data and video data;
step S112, extracting the audio fingerprint of the audio data;
and/or the presence of a gas in the gas,
and step S113, extracting the video fingerprint of the video data.
When the multimedia data is audio/video data, the audio/video data may be decapsulated to obtain the audio data and the video data, as shown in fig. 3. Then, only the audio fingerprint of the audio data can be extracted, and the copyright value of the audio data can be evaluated; or only extracting the video fingerprint of the video data and evaluating the copyright value of the video data; or extracting the audio fingerprints and the video fingerprints of the audio data and the video data, and respectively evaluating the copyright values of the audio data and the video data.
The method for evaluating the copyright value of audio data is described above, and is not described herein again.
The method in the related art can also be adopted for extracting the video fingerprint of the video data, wherein the video fingerprint comprises a spatial characteristic and a temporal characteristic. The spatial characteristics are based on feature extraction of video frame images, and can be based on the whole image or blocks in the image; the temporal characteristics may be implemented based on spatial characteristics, such as extracting motion features based on neighboring frames, etc. The above description is only given by way of example to the method for extracting video fingerprints of video data, and the present disclosure does not limit the method for extracting video fingerprints of video data to be specifically adopted.
The copyright value of a video segment may be evaluated in the same way as the audio segment, for example, a segment of video data is divided into N video segments (P1, P2, \8230;, PN), and the attribute information of each video segment may be Pi (ti, bi), where ti represents duration information of the ith video segment, bi represents copyright information of the ith video segment, and T1+ T2+ \8230, tN = T, where T is the total duration of the video segment. Then the contribution value of the ith video segment may be ti/T.
The contribution value of the video segment may also be determined according to a corresponding contribution coefficient, where the contribution coefficient may be determined according to duration information, content information, influence, and the like of the video segment, for example, the longer the duration is, the more professional the content is, or the more user comments are, the higher the corresponding contribution coefficient is. For example, if each video segment has a corresponding contribution coefficient Ai, the contribution value of the i-th video segment may be Ai × ti/T. Wherein, the contribution coefficient can satisfy the condition A1 × T1+ A2 × T2+ \8230, + AN × tN = T, that is to say A1+ A2+ \8230, + AN =1.
In another example, the contribution value of the video segment to the copyright value may also be determined directly from the contribution coefficient.
For example, as shown in fig. 3, the above method according to the present disclosure divides a piece of video data into 4 pieces as shown, i.e., video segments a, b, c, and d. The duration of the video segment a is 30min, the duration of the video segment b is 8min, the duration of the video segment c is 10min, the duration of the video segment d is 35min, and the total duration of the video is 83min, so that the contribution value of the video segment a to the copyright value may be G1=30/83, a corresponding contribution coefficient A1 may also be set according to information such as the content of the video segment a, and the contribution value may also be G1= A1 × (30/83). The above description is made only by way of example to determine the contribution value, and the present disclosure does not limit the manner in which the contribution value is specifically determined.
As shown in fig. 4, the segmenting the multimedia data according to the feature information and the feature information samples in the feature information base in step S12 to obtain one or more segments of multimedia data and determine the attribute information corresponding to each segment of multimedia data may include:
step S124, segmenting the audio data according to the audio fingerprints and the audio fingerprint samples in the audio fingerprint database to obtain one or more audio segments and determining attribute information corresponding to each audio segment;
and/or the presence of a gas in the gas,
and step 125, segmenting the video data according to the video fingerprints and the video fingerprint samples in the video fingerprint database to obtain one or more segments of video segments and determining attribute information corresponding to each segment of video.
The method for segmenting the audio data according to the audio fingerprint in step S124 may refer to the above description, and is not described herein again. For the video data segmentation method, see the above description, and will not be described herein again.
By evaluating the copyright values of the audio data and the video data respectively, specific evaluated contents can be selected according to service scenes and business requirements, and computing resources can be saved. For example, when attribution is determined only for the copyright of video data, only the contribution value and the copyright value of the video data need to be calculated, and the audio data does not need to be evaluated, so that the evaluation efficiency is improved, and the calculation resources are saved.
Fig. 5 shows a flowchart of the method of step S13 according to an embodiment of the present disclosure. As shown in fig. 5, in one possible implementation, step S13 includes:
step S131, classifying the multimedia data segments according to the copyright information to obtain one or more multimedia data segment sets;
step S132, determining the contribution value of the multimedia data segment set to the copyright value according to the duration information of each multimedia data segment in the multimedia data segment set and the duration information of the multimedia data.
For example, as shown in FIG. 3, the above method according to the present disclosure divides a piece of audio data into 5 pieces as shown, respectively audio segments 1-5. The time length of the audio segment 1 is 15min, the copyright is B1, the time length of the audio segment 2 is 20min, the copyright is B2, the time length of the audio segment 3 is 20min, the copyright is B1, the time length of the audio segment 4 is 18min, the copyright is B3, the time length of the audio segment 5 is 10min, the copyright is B2, and the total audio time length is 83min. The audio segments may be classified according to the copyright information, for example, the audio segment 1 and the audio segment 3 are classified into one type to obtain an audio segment set 1, the audio segment 2 and the audio segment 5 are classified into one type to obtain an audio segment set 2, and the audio segment 4 is used as the audio segment set 3. The duration information of the audio segment set 1 is 15min +20min =35min, and the duration information of the audio segment set 2 is 20min +18min =38min.
The contribution value of the audio segment set 1 to the copyright value can be determined according to the duration information of the audio segments 1 and 3 in the audio segment set 1 and the duration information of the audio data, for example, the contribution value of the audio segment set 1 can be the proportion of the duration of the audio segments 1 and 3 in the multimedia data segment set 1 to the duration of the audio data, the contribution value of the audio segment set 1 to the copyright value can be M1=35/83 if the contribution value is Mi (i =1,2, 3), and corresponding contribution coefficients can be set according to the content of each audio segment in the audio segment set 1, for example, the contribution coefficients of the audio segments 1 and 3 are g11 and g12, respectively, and the contribution value can also be M1= g11 x (15/83) + g12 x (20/83). The above description is made only by way of example to determine the contribution value, and the present disclosure does not limit the manner in which the contribution value is specifically determined.
In a possible implementation, the multimedia data segments in the classified multimedia data segment set may be further de-overlapped and combined. For example, as shown in fig. 3, the duration of the audio segment 1 is 15 minutes (m), the copyright is B1, the duration of the audio segment 2 is 20min, the copyright is B2, the duration of the audio segment 3 is 20min, the copyright is B1, the duration of the audio segment 4 is 18min, the copyright is B3, the duration of the audio segment 5 is 10min, the copyright is B2, and the total audio duration is 83min. The audio clip 1 and the audio clip 3 are classified into one type to obtain an audio clip set 1, the audio clip 2 and the audio clip 5 are classified into one type to obtain an audio clip set 2, and the audio clip 4 is used as the audio clip set 3. The audio segment 1 and the audio segment 3 are not overlapped completely, and de-overlapping and merging are not needed; the audio segment 2 and the audio segment 5 are partially overlapped, for example, the last 5min of the audio segment 2 is overlapped with the first 5min of the audio segment 5, and after the de-overlapping and the combining, the duration of the audio segment set 2 is 25min. Based on this, the contribution value of the audio piece set 2 may be M2=25/83. The above data for de-duplication and combination is only an example and should not be construed as limiting the scope of the present disclosure, and other manners are also possible, such as having 5min in the middle of the audio segment 2 coinciding with the first 5min of the audio segment 5, being able to remove the first 5min of the audio segment 5 for de-duplication, and the like, which is not limited by the present disclosure.
The video segments can be classified in the same way to obtain one or more video segment sets and perform subsequent processing, which is not repeated.
When a plurality of multimedia data segments with the same copyright information exist, the multimedia data segments can be classified according to the copyright information to obtain one or more multimedia data segment sets, and the contribution value of a copyright holder is directly determined by determining the contribution value of the multimedia data segment sets to the copyright value, so that the calculation can be simplified, and the calculation resources can be saved. In addition, the multimedia data segments with the same copyright information are subjected to de-coincidence, and corresponding contribution values can be obtained more accurately and fairly, so that the rights and interests of copyright holders are protected more favorably.
Fig. 6 shows a flowchart of the method of step S14 according to an embodiment of the present disclosure. As shown in fig. 6, in one possible implementation, step S14 includes:
step S141, determining the copyright value of the multimedia data segment set according to the contribution value of the multimedia data segment set and the copyright information corresponding to the multimedia data segment set.
As described above, the copyright information may be a producer of the video clip, such as XX movie studio, XX producer, or the like, or a composer, a worder, or the like of the audio clip. The copyright value of the multimedia data segment set can be determined according to the contribution value and copyright information of the multimedia data segment set. For example, different copyright owners have different influences on the copyright value, and the work of more professional or more famous copyright owners is often more valuable, so that the copyright value of the multimedia data segment can be determined according to the contribution value of the multimedia data segment set and the copyright owner in the copyright information.
In one possible embodiment, the weight coefficient Ki (i = [1,2 \8230; N ]) may be determined according to information such as influence, degree of awareness, professionalism, etc. of copyrighted works in the copyright information, and assuming that the copyright value of the set of multimedia data segments is Zi (i = [1,2 \8230; N ]), and the copyright value of the set of audio segments 1 may be Z1= K1 × M1, for example, K1 may be 0.5, as an example shown in fig. 3.
According to the method for evaluating the copyright value of the multimedia data, which is disclosed by the embodiment of the disclosure, the copyright value corresponding to each copyright human work can be obtained more quickly and accurately.
Fig. 7 illustrates a flowchart of a method of evaluating a copyright value of multimedia data according to an embodiment of the present disclosure. As shown in fig. 7, the method may further include:
and S15, removing partial multimedia data fragments according to the attribute information corresponding to each multimedia data fragment.
For example, a segment with a small influence factor in each multimedia data segment may be eliminated, for example, the size of the influence factor may be determined according to a time dimension or multimedia content. Determining the size of the impact factor according to the time dimension may refer to determining one or more segments having the shortest duration information among the multimedia data segments and rejecting the segments.
In a possible implementation, the attribute information may further include content category information (e.g., sports category, entertainment category, etc.) of the corresponding multimedia data segment. The size of the impact factor may also be determined according to the content category, for example, the impact factor corresponding to each content category may be preset, one or more segments with the smallest impact factor corresponding to the content category of each multimedia data segment may be determined, and the segments may be eliminated. The removed part of the multimedia data segment may be determined according to the similarity of the content of each multimedia data segment, for example, in the case that the content category information of the multimedia data segment is different from the content category information of other multimedia data segments, the multimedia data segment with different content category information is removed. For example, if a certain multimedia data segment SP is a sports type and other multimedia data segments are entertainment types, the multimedia data segment SP can be removed; or, the number of segments of the multimedia data segment of a certain content category is the least, and the corresponding multimedia data segment is removed.
In a possible implementation, a part of the multimedia data segment may be further removed according to the copyright information. For example, whether the copyright information meets a first preset condition may be determined according to the copyright information of each multimedia data segment, for example, the first preset condition may be free audio/video or audio/video paid in batches, and one or more corresponding multimedia data segments may be removed when the first preset condition is met.
The time length information of the multimedia data segment left after the elimination meets T1+ T2+ \8230, tn < T, the contribution coefficient and the time length information meet A1 × T1+ A2 × T2+ \8230, and + An × tn < T, wherein N < N.
For the eliminated multimedia data segments, the following steps (S13, S14) are not performed, the corresponding contribution values and copyright values are determined only according to the multimedia data segments remaining after elimination (steps S13 and S14), and the processing of steps S131, S132 and S141 shown in fig. 6 can also be performed according to the remaining multimedia data segments. The present disclosure is not limited thereto.
It should be noted that the above manner is only an exemplary one, and those skilled in the art can understand that the present disclosure should not be limited thereto. In fact, the user can flexibly set the factors for determining the influence factor according to personal preference and/or actual application scene, for example, the size of the influence factor can be determined by combining the duration information, the copyright information and the content category in the attribute information.
Example 2
Fig. 8 is a block diagram illustrating an apparatus for evaluating a copyright value of multimedia data, which can be applied to a server or the like, according to an embodiment of the present disclosure. As shown in fig. 8, the apparatus includes: an extraction module 91, a segmentation module 92, a first determination module 93 and a second determination module 94.
The extracting module 91 is configured to extract feature information of the multimedia data.
A segmenting module 92, configured to segment the multimedia data according to the feature information and the feature information samples in the feature information base, to obtain one or more segments of multimedia data, and determine attribute information corresponding to each segment of multimedia data, where the attribute information includes duration information and copyright information of the corresponding segment of multimedia data.
The first determining module 93 is configured to determine a contribution value of a multimedia data segment to a copyright value according to duration information of the multimedia data segment and duration information of the multimedia data.
A second determining module 94, configured to determine the copyright value of the multimedia data segment according to the contribution value and the copyright information of the multimedia data segment.
The method comprises the steps of extracting characteristic information of multimedia data, segmenting the multimedia data according to the characteristic information to obtain multimedia data segments, determining attribute information corresponding to each segment of the multimedia data segment, and determining the copyright value of each multimedia data segment according to duration information and copyright information of the attribute information. The device for evaluating the copyright value of the multimedia data according to the above embodiment of the present disclosure can realize the judgment of the copyright ownership of different multimedia data segments in the multimedia data, and can determine the contribution values and the copyright values of different multimedia data segments, thereby determining the ownership and the weight of the copyright of different segments, and better protecting the rights and interests of copyright holders.
Fig. 9 illustrates a block diagram of an apparatus for evaluating a copyright value of multimedia data according to an embodiment of the present disclosure. As shown in figure 9 of the drawings,
in one possible implementation, the multimedia data is audio-visual data,
the extraction module 91 comprises: a decapsulation unit 911, one or more of a first extraction unit 912 and a second extraction unit 913.
A decapsulating unit 911, configured to decapsulate the multimedia data to obtain audio data and video data.
A first extraction unit 912 for extracting an audio fingerprint of the audio data.
A second extraction unit 913 for extracting a video fingerprint of the video data.
In one possible implementation, the segmentation module 92 comprises: one or more of first segmentation unit 924 and second segmentation unit 925.
The first segmenting unit 924 is configured to segment the audio data according to the audio fingerprint and the audio fingerprint sample in the audio fingerprint library to obtain one or more audio segments, and determine attribute information corresponding to each audio segment.
The second segmenting unit 925 is configured to segment the video data according to the video fingerprints and the video fingerprint samples in the video fingerprint library to obtain one or more segments of video segments, and determine attribute information corresponding to each segment of video.
In one possible implementation, the segmentation module 92 comprises:
the matching unit 921 is configured to match the feature information of the multimedia data with the feature information samples in the feature information base;
a segment determining unit 922, configured to, in case that the feature information of the multimedia data of a period of time is successfully matched with the feature information samples in the feature information base, and the multimedia data of the period of time all have the same multimedia tag, treat the multimedia data of the period of time as a multimedia data segment,
the information extraction unit 923 is configured to use the duration information of the period of time and the copyright information corresponding to the characteristic information sample as the duration information and the copyright information of the multimedia data segment.
In a possible implementation, the first determining module 93 includes: a classification unit 931 and a first determination unit 932.
A classifying unit 931, configured to classify the multimedia data segments according to the copyright information to obtain one or more multimedia data segment sets;
the first determining unit 932 is configured to determine a contribution value of a set of multimedia data segments to a copyright value according to duration information of each multimedia data segment in the set of multimedia data segments and duration information of the multimedia data.
In a possible implementation, the second determining module 94 includes: a second determination unit 941.
A second determining unit 941, configured to determine a copyright value of a multimedia data segment set according to the contribution value of the multimedia data segment set and copyright information corresponding to the multimedia data segment set
In one possible embodiment, the apparatus further comprises: a culling module 95.
And a removing module 95, configured to remove a part of the multimedia data segments according to the attribute information corresponding to each multimedia data segment.
In a possible embodiment, the attribute information further includes content category information;
the culling module 95 includes:
a removing unit 951, configured to remove, when the content type information of a multimedia data segment is different from the content type information of other multimedia data segments, the multimedia data segment with different content type information.
Example 3
Fig. 10 is a block diagram illustrating an apparatus 1900 for evaluating a copyright value of multimedia data according to an exemplary embodiment. For example, the apparatus 1900 may be provided as a server. Referring to FIG. 10, the device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by the processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.
The device 1900 may also include a power component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input/output (I/O) interface 1958. The device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium is also provided that includes instructions, such as the memory 1932 that includes instructions, which are executable by the processing component 1922 of the apparatus 1900 to perform the above-described method.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
Computer program instructions for carrying out operations of the present disclosure may be assembler instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the disclosure are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (17)
1. A method for evaluating a copyright value of a multimedia data segment, comprising:
extracting characteristic information of the multimedia data;
segmenting the multimedia data according to the characteristic information and characteristic information samples in a characteristic information base to obtain one or more segments of multimedia data and determine attribute information corresponding to each segment of multimedia data, wherein the attribute information comprises duration information and copyright information of the corresponding segment of multimedia data;
determining a contribution value of a multimedia data fragment to the copyright value of the multimedia data according to the duration information of the multimedia data fragment and the duration information of the multimedia data;
and determining the copyright value of the multimedia data segment according to the contribution value of the multimedia data segment and the weight coefficient corresponding to the copyright information of the multimedia data segment.
2. The method of evaluating a copyright value of a multimedia data segment as claimed in claim 1, wherein the multimedia data is audio-video data,
extracting feature information of multimedia data, including:
decapsulating the multimedia data to obtain audio data and video data;
extracting an audio fingerprint of the audio data;
and/or the presence of a gas in the gas,
extracting a video fingerprint of the video data.
3. The method of claim 2, wherein segmenting the multimedia data according to the feature information and the feature information samples in the feature information library to obtain one or more segments of multimedia data and determine attribute information corresponding to each segment of multimedia data comprises:
segmenting the audio data according to the audio fingerprints and audio fingerprint samples in an audio fingerprint database to obtain one or more audio segments and determining attribute information corresponding to each audio segment;
and/or the presence of a gas in the gas,
and segmenting the video data according to the video fingerprints and the video fingerprint samples in the video fingerprint database to obtain one or more segments of video segments and determining attribute information corresponding to each video segment.
4. The method for evaluating copyright value of multimedia data segments according to any of claims 1-3, wherein segmenting the multimedia data according to the feature information and the feature information samples in the feature information base to obtain one or more segments of multimedia data and determining the attribute information corresponding to each segment of multimedia data comprises:
matching the characteristic information of the multimedia data with characteristic information samples in a characteristic information base;
in the case that the matching of the characteristic information of the multimedia data of a period of time and the characteristic information samples in the characteristic information base is successful, and the multimedia data of the period of time have the same multimedia tags, the multimedia data of the period of time is taken as a multimedia data segment,
and taking the time length information of the period of time and the copyright information corresponding to the characteristic information sample as the time length information and the copyright information of the multimedia data segment.
5. The method of claim 1, wherein determining the contribution value of the multimedia data segment to the copyright value of the multimedia data according to the duration information of the multimedia data segment and the duration information of the multimedia data comprises:
classifying the multimedia data segments according to the copyright information to obtain one or more multimedia data segment sets;
determining the contribution value of the multimedia data segment set to the copyright value of the multimedia data according to the duration information of each multimedia data segment in the multimedia data segment set and the duration information of the multimedia data.
6. The method of claim 5, wherein determining the copyright value of the multimedia data segment according to the contribution value of the multimedia data segment comprises:
and determining the copyright value of the multimedia data segment set according to the contribution value of the multimedia data segment set and the copyright information corresponding to the multimedia data segment set.
7. The method of assessing a copyright value of a piece of multimedia data as claimed in claim 1, further comprising:
and removing part of the multimedia data fragments according to the attribute information corresponding to each multimedia data fragment.
8. The method of evaluating a copyright value of a multimedia data segment of claim 7,
the attribute information further includes content category information;
rejecting part of the multimedia data fragments according to the attribute information corresponding to each multimedia data fragment, comprising:
and under the condition that the content type information of the multimedia data fragment is different from the content type information of other multimedia data fragments, rejecting the multimedia data fragment with different content type information.
9. An apparatus for evaluating a copyright value of a multimedia data segment, comprising:
the extraction module is used for extracting the characteristic information of the multimedia data;
the segmenting module is used for segmenting the multimedia data according to the characteristic information and characteristic information samples in the characteristic information base to obtain one or more segments of multimedia data and determine attribute information corresponding to each segment of multimedia data, wherein the attribute information comprises duration information and copyright information of the corresponding segment of multimedia data;
the first determining module is used for determining the contribution value of the multimedia data fragment to the copyright value of the multimedia data according to the duration information of the multimedia data fragment and the duration information of the multimedia data;
and the second determining module is used for determining the copyright value of the multimedia data segment according to the contribution value of the multimedia data segment and the weight coefficient corresponding to the copyright information of the multimedia data segment.
10. The apparatus for evaluating a copyright value of a multimedia data segment as claimed in claim 9, wherein the multimedia data is audio-video data,
the extraction module comprises:
the decapsulation unit is used for decapsulating the multimedia data to obtain audio data and video data;
a first extraction unit for extracting an audio fingerprint of the audio data;
and/or the presence of a gas in the gas,
a second extraction unit for extracting a video fingerprint of the video data.
11. The apparatus for evaluating a copyright value of a multimedia data segment of claim 10, wherein the segmentation module comprises:
the first segmentation unit is used for segmenting the audio data according to the audio fingerprints and the audio fingerprint samples in the audio fingerprint database to obtain one or more segments of audio clips and determining attribute information corresponding to each audio clip;
and/or the presence of a gas in the gas,
and the second segmentation unit is used for segmenting the video data according to the video fingerprints and the video fingerprint samples in the video fingerprint database to obtain one or more segments of video clips and determining attribute information corresponding to each video clip.
12. The apparatus for evaluating a copyright value of a multimedia data segment as claimed in any one of claims 9-11, wherein the segmentation module comprises:
the matching unit is used for matching the characteristic information of the multimedia data with the characteristic information samples in the characteristic information base;
determining a segmentation unit, for taking the multimedia data of a period of time as a multimedia data segment under the condition that the feature information of the multimedia data of the period of time is successfully matched with the feature information samples in the feature information base and the multimedia data of the period of time have the same multimedia tag,
and the information extraction unit is used for taking the duration information of the period of time and the copyright information corresponding to the characteristic information sample as the duration information and the copyright information of the multimedia data segment.
13. The apparatus for evaluating a copyright value of a multimedia data segment as claimed in claim 9, wherein the first determining module comprises:
the classification unit is used for classifying the multimedia data fragments according to the copyright information to obtain one or more multimedia data fragment sets;
the first determining unit is used for determining the contribution value of the multimedia data segment set to the copyright value of the multimedia data according to the duration information of each multimedia data segment in the multimedia data segment set and the duration information of the multimedia data.
14. The apparatus for evaluating a copyright value of a multimedia data segment of claim 13, wherein the second determining module comprises:
and the second determining unit is used for determining the copyright value of the multimedia data segment set according to the contribution value of the multimedia data segment set and the copyright information corresponding to the multimedia data segment set.
15. The apparatus for evaluating a copyright value of a multimedia data segment as claimed in claim 9, further comprising:
and the removing module is used for removing part of the multimedia data fragments according to the attribute information corresponding to each multimedia data fragment.
16. The apparatus for evaluating a copyright value of a multimedia data segment as recited in claim 15,
the attribute information further includes content category information;
the rejection module comprises:
and the rejecting unit is used for rejecting the multimedia data segment with different content type information under the condition that the content type information of the multimedia data segment is different from the content type information of other multimedia data segments.
17. An apparatus for evaluating a copyright value of a multimedia data segment, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
extracting characteristic information of the multimedia data;
segmenting the multimedia data according to the characteristic information and characteristic information samples in a characteristic information base to obtain one or more segments of multimedia data and determine attribute information corresponding to each segment of multimedia data, wherein the attribute information comprises duration information and copyright information of the corresponding segment of multimedia data;
determining a contribution value of a multimedia data fragment to the copyright value of the multimedia data according to the duration information of the multimedia data fragment and the duration information of the multimedia data;
and determining the copyright value of the multimedia data segment according to the contribution value of the multimedia data segment and the weight coefficient corresponding to the copyright information of the multimedia data segment.
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| TW107107984A TWI705705B (en) | 2017-04-20 | 2018-03-09 | Method and device for evaluating copyright value of multimedia data |
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| CN109146545A (en) * | 2018-07-18 | 2019-01-04 | 阿里巴巴集团控股有限公司 | A kind of method and device for providing reward to works user based on block chain |
| CN110276640A (en) * | 2019-06-10 | 2019-09-24 | 北京云莱坞文化传媒有限公司 | More granularities of copyright are split and its method for digging of commercial value |
| CN114723202A (en) * | 2021-01-05 | 2022-07-08 | 中国移动通信有限公司研究院 | Data value evaluation method, device, equipment and computer readable storage medium |
| CN115774862B (en) * | 2021-10-09 | 2025-07-22 | 北京电子科技职业学院 | Broadcast copyright management method and management system thereof |
| CN114359788B (en) * | 2021-12-09 | 2025-12-23 | 北京达佳互联信息技术有限公司 | Media information processing methods, devices, electronic devices, storage media and products |
| CN116415013A (en) * | 2021-12-31 | 2023-07-11 | 珠海优特智厨科技有限公司 | Method, device, storage medium and electronic device for determining cooking module |
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| CN108734491A (en) | 2018-11-02 |
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