CN112559975A - Block chain-based digital media copyright implementation method, equipment and medium - Google Patents
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Abstract
The application discloses a method, equipment and medium for realizing digital media copyright based on a block chain, wherein the method comprises the following steps: determining a blockchain platform which is created based on the blockchain frame in advance; determining a work published on a digital medium by a user node; and examining the works, and registering the works in the blockchain platform after the examination is passed. The whole process of work copyright registration is stored in the blockchain platform. Because the data in the blockchain platform is public and transparent, each node can check the copyright of the works through a corresponding way at any time. And because the blockchain platform is in distributed storage, data tampering of a single node cannot be effective, and the truthfulness and the credibility of the data on the blockchain platform are ensured. From the dimensions of right confirmation, transaction and right maintenance, the efficiency, safety and convenience of digital media copyright protection are improved.
Description
Technical Field
The present application relates to the field of blockchains, and in particular, to a method, an apparatus, and a medium for implementing digital media copyright based on blockchains.
Background
With the continuous improvement of internet infrastructure, various digital media (i.e. new media) contents such as short videos, network pictures and the like can be generated anytime and anywhere and can be copied and spread quickly, and the traditional copyright protection has the problems of long copyright registration period, difficulty in proving right attribution, low transaction authorization efficiency, difficulty in protecting right and proving proof and the like, so that the challenges are brought to the copyright registration and protection of the digital media.
Disclosure of Invention
In order to solve the above problem, the present application provides a block chain-based digital media copyright implementation method, including: determining a blockchain platform which is created based on the blockchain frame in advance; determining a work published on a digital medium by a user node; and examining the works, and registering the works in the blockchain platform after the examination is passed.
In one example, when the work is audio, reviewing the work includes: determining text information corresponding to the audio through voice recognition; recognizing the emotion of the audio through a pre-trained neural network model to obtain emotion information; and comparing the audio with specified content based on the text information and the emotion information so as to review the work.
In one example, recognizing emotion of the audio through a pre-trained neural network model to obtain emotion information includes: extracting text features in the text information through a pre-trained text neural network model, and obtaining first emotion information based on the text features; extracting prosody characteristics in the audio through a pre-trained acoustic neural network model, and obtaining second emotion information based on the prosody characteristics; and obtaining the emotion information corresponding to the audio according to the first emotion information and the second emotion information.
In one example, when the work is a video, reviewing the work includes: performing image processing on each frame of image contained in the video to extract a motion area in the video; determining a motion track of a target in the motion area; and comparing the video with specified content based on the motion trail so as to inspect the work.
In one example, image processing each frame image contained in the video to extract a motion region in the video includes: carrying out binarization processing on each frame of image contained in the video; for each frame of image, carrying out subtraction operation on the next frame of image and the frame of image to obtain a distinguishing area; and combining the distinguishing areas to obtain a motion area.
In one example, prior to determining the motion trajectory of the target in the motion region, the method further comprises: determining the color corresponding to each pixel point in the motion area of each frame of image in the video; and adjusting the color of the pixel point with the color similarity degree higher than a preset threshold value to be the same color according to a preset division rule.
In one example, the method further comprises: generating corresponding intelligent contracts and deploying the intelligent contracts in the blockchain platform, wherein the intelligent contracts comprise inspection intelligent contracts and work intelligent contracts; the intelligent contract of the works is used for determining the works which are issued on the digital media by the user nodes; and the examination intelligent contract is used for examining the works and registering the works in the block chain platform after the examination is passed.
In one example, the method further comprises: generating a digital object unique identifier for a work so as to facilitate querying and trading copyrights of the work.
On the other hand, the present application also provides a block chain-based digital media copyright implementing device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of any one of the examples above.
In another aspect, the present application further provides a non-volatile computer storage medium for block chain based digital media copyright implementation, storing computer-executable instructions configured to: a method as in any preceding example.
The block chain-based digital media copyright implementation method provided by the application can bring the following beneficial effects:
the whole process of work copyright registration is stored in the blockchain platform. Because the data in the blockchain platform is public and transparent, each node can check the copyright of the works through a corresponding way at any time. And because the blockchain platform is in distributed storage, data tampering of a single node cannot be effective, and the truthfulness and the credibility of the data on the blockchain platform are ensured. From the dimensions of right confirmation, transaction and right maintenance, the efficiency, safety and convenience of digital media copyright protection are improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flowchart of a block chain-based digital media copyright implementation method in an embodiment of the present application;
FIG. 2 is a block chain platform according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a block chain-based digital media copyright implementing apparatus in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present application provides a block chain-based digital media copyright implementation method, including:
s101, determining a blockchain platform which is created in advance based on the blockchain frame.
The Blockchain (Blockchain) is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like, and is essentially a decentralized database.
A blockchain platform created based on the blockchain framework may first be determined. The blockchain frame may be any blockchain frame capable of implementing the corresponding function of the embodiment of the present application, for example, bitcoin, etherhouse, Fabric, Corda, and the like. A blockchain platform may refer to a platform that stores a blockchain, e.g., may be a distributed system, etc. Of course, the blockchain platform may also directly represent the blockchain itself, and is not limited herein. Wherein, the block chain platform can support the usage of national standard quotient algorithm based on SM2 and SM 3. Of course, when the method is applied to areas other than china, a corresponding cryptographic algorithm may also be used, which is not described herein again, and the explanation is only given by taking a commercial cryptographic algorithm in china as an example.
The block chain platform specifically comprises a page access layer, a business logic layer, a consensus and contract layer and a data access layer, provides core functions of uploading new media works, storing copyright certificates, checking copyright, trading copyright and the like, simultaneously applies a national standard Chinese commercial cryptographic algorithm as an encryption means, applies a two-dimensional code as a copyright checking inlet, and improves the efficiency, safety and convenience of digital media copyright protection from the dimensions of authority confirmation, trading and right maintenance.
As shown in fig. 2, the blockchain platform (i.e., the blockchain network in the figure) is essentially a distributed ledger and a P2P network, and a series of operations such as copyright registration and transaction can be performed in the blockchain platform through an intelligent contract, a timestamp, a digital signature, a national standard chinese commercial cryptographic algorithm, and the like. The user node (i.e., copyright owner) can upload, register, and store the digital media works (i.e., new media works) in the blockchain platform. And the copyright checking party, such as a corresponding checking organization, a third party and the like, can check the copyright information through a corresponding contract. The copyright trading party can also trade digital media copyright (i.e. trade new media copyright) through a corresponding contract.
S102, determining the works distributed on the digital media by the user nodes.
In general, when a user node issues a work on a digital media, a blockchain platform may start to determine the work issued by the user node on the digital media based on an application of the user node, or certainly, after the user node issues the work, the blockchain platform actively determines the work issued by the user node. Digital media, also known as new media, refers to media recorded, processed, transmitted, etc. in digital form, and may be mobile phone media, digital television, internet media, etc., and the user's works may be characters, images, audio, video, etc.
S103, examining the works, and after the examination is passed, registering the works in the block chain platform.
After the work is determined, the work may be reviewed. The process and purpose of the examination is primarily to examine whether the work complies with the relevant laws at hand, and whether a prior application has been made for the same or very similar content. The process of the examination may be manual examination, or examination may be performed by related devices and programs, or a combination of the two, and the examination is performed by the program and then manually.
If the examination is passed, the works can be endowed with copyright, and the works can be written into the blockchain platform. Of course, when writing into the blockchain platform, the work may be directly written, or the work may be encrypted or hashed by a hash algorithm and then written into the blockchain platform. When writing in the block chain platform, the digital signature and the time stamp of the user node can be added to ensure the identity of the user node, and the copyright of the work is ensured.
In one embodiment, when a work is audio, even a piece of text that is the same or similar, but may have different emotions and meanings due to different contexts or different intonations used by the reader when reading, when similarity determination is performed on the audio and other content (which may be referred to as specific content herein) by software, if determination is performed only according to the text content of the piece, it is easy to cause a determination error. The designated content refers to content of a work when the work is compared in the process of examination, and may be manually designated, or designated by a user node, or may be acquired by a blockchain platform in a digital medium such as a network, and is not limited herein. Therefore, when the work is audio and the work is examined, the text information corresponding to the audio can be determined through voice recognition. And then, the emotion in the audio is identified through a pre-trained neural network model to obtain emotion information. Then, when determining the similarity between the audio and the specified content, a comparison is made based on not only the text information but also the emotion information, thereby censoring the work. The emotional information may include happiness, sadness, anger, calmness, and the like. For example, when the similarity of the text information is high but the similarity of the emotion information is low, the examination may be passed by considering that the similarity between the audio and the specified content is low.
Further, when the emotion of the audio is recognized, text features in the text information may be first extracted through a pre-trained text neural network model, and then the emotion information of the audio (which may be referred to as first emotion information) is determined through the text features. Extracting prosody characteristics in the audio through a pre-trained acoustic neural network model, and determining emotional information (which may be referred to as second emotional information) of the audio through the prosody characteristics. Finally, the first emotion information and the second emotion information are combined, for example, averaging or voting can be adopted to finally obtain the emotion information corresponding to the audio. By combining the two methods, the emotion information of the audio can be more accurately determined.
In one embodiment, when the work is a video, since the composition is more complicated for video content than for images, text, and audio, it is also complicated in reviewing it and defining whether it is infringed, and it is difficult to authenticate by computer software. In the present embodiment, when a video is reviewed, review is mainly performed on a content related to a reproduction. Of course, the examination process may also be used to determine whether other videos infringe the video product, and details are not repeated herein.
Specifically, when a video is censored, a motion region in the video may be extracted by performing image processing on each frame image included in the video. Wherein each image in the video can be divided into two areas, namely a background area and a motion area. The background area refers to an area where a picture changes less during a motion of a video picture, and the motion area refers to an area where a picture changes more during a motion of the picture. For example, if the video content is a person dancing in a fixed scene, the motion area is the area where the person is located, and the background area is the area other than the person. After the motion area is determined, the motion track of the target in the motion area can be determined through image recognition, and then the motion track is compared with the motion track of the designated content. Therefore, when some videos are shot, especially the videos of people, objects and other actions, if the examination is performed by the prior art, the examination may be passed due to the difference of the human growth and the clothing background, but the examination by the motion trail can effectively solve the problem, and the accuracy in the examination process is increased.
When a motion region in a video is extracted, each frame image in the video may be first subjected to binarization processing, and then each frame image after binarization processing (referred to as a binarized image herein) is obtained. After the image is binarized, the parts needing to be processed in the image can be reduced, and the processing flow is optimized. And then, for each frame of binary image, carrying out subtraction operation on the next frame of binary image and the frame of image to obtain a difference region between the two frames of binary images, and then merging and sorting all the difference regions to obtain a motion region in the video.
Further, after the motion area is extracted, before the motion track of the target is determined, further processing may be performed on each frame of image to facilitate determination of the motion track. The color corresponding to each pixel point in each frame of image may be determined first, and the color may be represented by RGB. And then, according to a preset division rule, the colors of the pixel points with the closer colors are adjusted to be the same color, the same effect similar to a mosaic is finally presented, and then the motion trail is further determined. Therefore, when the videos such as the videos are shot, the influence caused by the growth of people, clothes and the like can be further ignored, only the motion trail of people or objects is considered, and the final examination result can be more accurate.
In one embodiment, the corresponding intelligent contracts may also be generated in advance and deployed in the blockchain platform. The intelligent contracts comprise examination intelligent contracts and work intelligent contracts. The intelligent contract of the works is used for determining the works which are issued on the digital media by the user nodes; the intelligent contract for examination is used for examining the works and registering the works in the blockchain platform after the examination is passed. Since the intelligent contracts on the blockchain platform are public, each node can check whether the intelligent contracts are in accordance with the preset agreement or not and deploy the intelligent contracts on the own node. The trust degree of the user node is further increased while the transaction automation degree is improved. The intelligent contract can only be changed in an upgrading mode, each node needs to be synchronously deployed, once the intelligent contract is deployed, the intelligent contract can only be executed through a program, interference of human factors is avoided, and the reliability of data is enhanced.
In one embodiment, a Digital Object Unique Identifier (DOI) for the work may also be generated, such as a two-dimensional code, a bar code, etc., so that other users can more conveniently query and trade the product. Taking the two-dimensional code as an example, by scanning the two-dimensional code corresponding to the work, the data associated with the work, such as the content of the work, the copyright registration date, the transaction condition, etc., can be accessed, and other users can perform corresponding copyright transactions with the user node of the work after checking, which is very convenient.
As shown in fig. 3, an embodiment of the present application further provides a device for implementing digital media rights based on a blockchain, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to cause the at least one processor to perform a method according to any one of the embodiments described above.
An embodiment of the present application further provides a non-volatile computer storage medium implemented by digital media copyright based on a block chain, where computer-executable instructions are stored, and the computer-executable instructions are configured to: a method as in any preceding embodiment.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.
The device and the medium provided by the embodiment of the application correspond to the method one to one, so the device and the medium also have the similar beneficial technical effects as the corresponding method, and the beneficial technical effects of the method are explained in detail above, so the beneficial technical effects of the device and the medium are not repeated herein.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, 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 specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A block chain-based digital media copyright implementation method is characterized by comprising the following steps:
determining a blockchain platform which is created based on the blockchain frame in advance;
determining a work published on a digital medium by a user node;
and examining the works, and registering the works in the blockchain platform after the examination is passed.
2. The method of claim 1, wherein reviewing the work when the work is audio comprises:
determining text information corresponding to the audio through voice recognition;
recognizing the emotion of the audio through a pre-trained neural network model to obtain emotion information;
and comparing the audio with specified content based on the text information and the emotion information so as to review the work.
3. The method of claim 2, wherein recognizing the emotion of the audio through a pre-trained neural network model to obtain emotion information comprises:
extracting text features in the text information through a pre-trained text neural network model, and obtaining first emotion information based on the text features; and are
Extracting prosody characteristics in the audio through a pre-trained acoustic neural network model, and obtaining second emotion information based on the prosody characteristics;
and obtaining the emotion information corresponding to the audio according to the first emotion information and the second emotion information.
4. The method of claim 1, wherein reviewing the work when the work is a video comprises:
performing image processing on each frame of image contained in the video to extract a motion area in the video;
determining a motion track of a target in the motion area;
and comparing the video with specified content based on the motion trail so as to inspect the work.
5. The method according to claim 4, wherein performing image processing on each frame image included in the video to extract a motion region in the video comprises:
carrying out binarization processing on each frame of image contained in the video;
for each frame of image, carrying out subtraction operation on the next frame of image and the frame of image to obtain a distinguishing area;
and combining the distinguishing areas to obtain a motion area.
6. The method of claim 4, wherein prior to determining the motion trajectory of the target in the motion region, the method further comprises:
determining the color corresponding to each pixel point in the motion area of each frame of image in the video;
and adjusting the color of the pixel point with the color similarity degree higher than a preset threshold value to be the same color according to a preset division rule.
7. The method of claim 1, further comprising:
generating corresponding intelligent contracts and deploying the intelligent contracts in the blockchain platform, wherein the intelligent contracts comprise inspection intelligent contracts and work intelligent contracts;
the intelligent contract of the works is used for determining the works which are issued on the digital media by the user nodes;
and the examination intelligent contract is used for examining the works and registering the works in the block chain platform after the examination is passed.
8. The method of claim 1, further comprising:
generating a digital object unique identifier for a work so as to facilitate querying and trading copyrights of the work.
9. A device for implementing digital media copyright based on block chain, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
10. A non-transitory computer storage medium for digital media copyright implementation based on blockchains, storing computer-executable instructions configured to: the method of any one of claims 1-8.
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| US20220327239A1 (en) * | 2021-04-09 | 2022-10-13 | VIQ Solutions Inc. | Securing and managing offline digital evidence with a smart data lease system |
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