Broadcast copyright management method and its management system

Abstract

The present invention relates to a method for managing broadcast copyrights, which at least includes: when conducting copyright registration, a copyright acceptance terminal receives a copyright risk assessment request uploaded by a copyright management client and generates a copyright risk assessment transaction; analyzes the copyright owner and their work resources according to the copyright risk assessment transaction to generate a corresponding weight coefficient α of copyright work factors; and saves the copyright risk assessment transaction including the weight coefficient α of copyright work factors to a copyright blockchain database. This method is set according to the particularity of broadcast copyrights, and evaluates the risks of copyright works through a copyright acceptance terminal and a blockchain device, enabling scientific and precise payment by copyright users to rights holders.

Description

Technical Field

[0001] The present invention relates to the technical field of digital copyright management, and in particular to a broadcast copyright management method and a blockchain management system using the method. Background Art

[0002] The current digital copyright protection methods (DRM) are all centralized registration-based, which is essentially a centralized copyright management mechanism authorized by an authoritative management agency. At present, some copyright management solutions based on blockchain technology have appeared in the market. Blockchain technology solves the problem of ownership confirmation in the transaction process based on mathematical principles, and the recording, transmission, and storage results of value exchange activities are reliable. Once the information recorded in the blockchain is generated, it will be permanently recorded and cannot be tampered with. It provides an unchangeable decentralized copyright registration form for digital copyright.

[0003] Patent CN107145768A discloses a copyright management method and system, in which a blockchain device constructs copyright management affairs according to a request for copyright processing, and a persistent blockchain device persists the copyright management affairs in the blockchain. Since the blockchain is stored in all blockchain devices, this will ensure the unchangeability and credibility of the copyright processing operation. However, the copyright management of the existing application blockchain system does not specifically personalize different copyright management, and does not cater to user usage habits very well. For example, for broadcast copyright, the radio and television industry, as a copyright user, often needs to spend too much time and cost to evaluate the confirmation of copyright materials; for the massive music works used every day, it is obviously unrealistic for radio stations to pay remuneration to each music copyright owner before broadcasting. Then, according to the statutory licensing system stipulated in the Copyright Law, Article 43 stipulates: "Radio stations and television stations can broadcast others' published works without the permission of the copyright owner, but they should pay remuneration." That is, the radio and television industry can directly use their works without the permission of the copyright owner of the program material, and pay the corresponding copyright management organization or individual for use after use. However, there are serious problems with the authorization mechanism of some works, that is, it is still impossible to find the right holder after great efforts, and there are also cases where high costs are spent on paying low copyright fees. Based on the existing copyright system, the radio and television industry, as a copyright user, is unable to solve copyright management problems efficiently and quickly. In this regard, it is particularly important to effectively evaluate the risk assessment mechanism within the copyright of a work, that is, copyright users can conduct risk assessments on the copyright of the works they use, and take corresponding countermeasures based on the specific risks. Summary of the invention

[0004] The object of the present invention is to propose a broadcast copyright management method, which uses a front-end copyright management client, a copyright acceptance terminal and a blockchain system for management, realizes the copyright risk assessment of different copyright works in the broadcast industry, and ensures the credibility and traceability of the copyright risk assessment operation.

[0005] To achieve the above object, the technical solution adopted by the present invention is a broadcast copyright management method, and the method at least includes

[0006] When performing copyright registration,

[0007] S10. The copyright acceptance terminal receives the copyright risk assessment request uploaded by the copyright management client and generates a copyright risk assessment transaction;

[0008] S11. Analyze the copyright owner and his work resources according to the copyright risk assessment transaction, and generate the corresponding copyright work factor weight coefficient α;

[0009] S12. Save the copyright risk assessment transaction including the copyright work factor weight coefficient α to the copyright blockchain database.

[0010] 1. When performing copyright confirmation evaluation,

[0011] S20. The copyright acceptance terminal receives the copyright confirmation evaluation request and generates a copyright evaluation transaction according to the copyright confirmation evaluation request;

[0012] S21. The copyright acceptance terminal analyzes the usage mode of the copyright work in the copyright evaluation transaction and generates the corresponding copyright usage weight coefficient β;

[0013] S22. The copyright acceptance terminal obtains the standard copyright work factor weight coefficient α information from the corresponding copyright management transaction in the blockchain, multiplies the copyright work factor weight coefficient α by the copyright usage weight coefficient β to obtain the final evaluation recommendation value, and sends it to the copyright management client.

[0014] In a possible design, the specific calculation method of the attention evaluation value is:

[0015] Obtain the search index of the copyright owner on each mainstream platform in the set recent time period, and judge the attention nature of the copyright owner according to the nature of the search index: when the search index belongs to the red list, set the attention nature of the copyright owner to 1, and when it belongs to the black list, set the attention nature of the copyright owner to 0.01; the attention degree of the copyright owner is the product of the attention nature of the copyright owner and the conversion value of the search index of the copyright owner;

[0016] Obtain the search index and click-through rate of copyright works on each mainstream platform within the set recent time period, and determine the nature of attention to copyright works based on the nature of the search index; when the search index belongs to the red list, set the nature of attention to copyright works to 1, and when it belongs to the black list, set the nature of attention to copyright works to 0.01; the attention degree of the copyright work is the product of the nature of attention to the copyright work and the conversion value of the search index and click-through rate of the copyright work.

[0017] The product obtained by multiplying the attention degree of the copyright owner and the attention degree of the copyright work by their corresponding weight coefficients respectively is the attention degree evaluation value.

[0018] Among them, when the nature of the search index includes the red list and the black list, the attention degree of the copyright owner takes the average value of the attention degree of the copyright owner in the red list state and the attention degree of the copyright owner in the black list state; the attention degree of the copyright work takes the average value of the attention degree of the copyright work in the red list state and the attention degree of the copyright work in the black list state.

[0019] In a possible design, before S12, it further includes: the copyright acceptance terminal verifies the copyright risk assessment request, checks whether the request includes the signature of the copyright owner and matches the public key provided by the copyright registration. If it matches, go to step S12; if it does not match, the response is that the copyright risk assessment request fails.

[0020] Specifically, saving the copyright risk assessment transaction to the blockchain database in step S12 is as follows: the blockchain device creates a copyright risk assessment transaction item, saves the corresponding copyright risk assessment transaction, and generates a corresponding time stamp for the copyright risk assessment.

[0021] In a possible design, the analysis of the usage method of the copyright work in the copyright assessment transaction in S21 specifically includes:

[0022] The copyright acceptance terminal obtains the duration of the copyright work to be broadcast in a single broadcast from the copyright confirmation evaluation request, multiplies the duration by its corresponding weight coefficient, and calculates the broadcast duration evaluation value.

[0023] The copyright acceptance terminal obtains the broadcast frequency of the copyright work to be broadcast from the copyright confirmation evaluation request, multiplies the frequency by its corresponding weight coefficient, and calculates the broadcast frequency evaluation value.

[0024] The copyright acceptance terminal obtains whether the copyright work to be broadcast is for profit. If so, the weight value of this purpose is 1 unit value. If not, it is recorded as 0.

[0025] Add the broadcast duration evaluation value, the broadcast frequency evaluation value, and the purpose weight value to obtain the copyright use weight coefficient β.

[0026] In another possible design, when the copyright acceptance terminal obtains the copyright work factor weight coefficient α information from the corresponding copyright management transaction in the blockchain in step S22, it also includes verifying the timestamp of the copyright risk assessment. Specifically: the copyright acceptance terminal traverses the timestamp information under the copyright work factor weight coefficient α in the blockchain device, compares the timestamp information with the current time, determines the one closest to the current time as the standard timestamp, and obtains the copyright work factor weight coefficient α corresponding to this standard timestamp, which is the standard copyright work factor weight coefficient α information.

[0027] On the other hand, the present invention also provides a broadcast copyright management system, which at least includes:

[0028] A copyright management client for receiving request information from relevant copyright transaction requesters;

[0029] A copyright acceptance terminal for receiving the request information input by the copyright management client, and the copyright acceptance terminal specifically includes

[0030] A copyright risk assessment transaction generation module configured to receive a copyright risk assessment request uploaded by the copyright management client and generate a copyright risk assessment transaction;

[0031] A copyright owner and its work resource analysis module for analyzing factors including the attention of the copyright owner, the attention of the copyright work, and the length of the copyright work according to the copyright risk assessment transaction, and generating a corresponding copyright work factor weight coefficient α;

[0032] A copyright assessment transaction generation module configured to receive a copyright confirmation evaluation request and generate a copyright assessment transaction according to the copyright confirmation evaluation request;

[0033] A copyright work usage mode analysis module for analyzing factors including the broadcast duration, frequency, and purpose of the copyright work in the copyright assessment transaction, and generating a corresponding copyright usage weight coefficient β;

[0034] A copyright confirmation evaluation module configured to multiply the copyright work factor weight coefficient α obtained from the blockchain device and the copyright usage weight coefficient β obtained through analysis to obtain a final evaluation recommendation value;

[0035] A blockchain device configured to create a copyright risk assessment transaction item, save the corresponding copyright risk assessment transaction, and generate a corresponding timestamp for the copyright risk assessment.

[0036] The broadcast copyright management method of the present invention is set according to the particularity of broadcast copyright. The risk of copyright works is evaluated through a copyright acceptance terminal and a blockchain device, enabling copyright users in the radio and television industry to pay remuneration to the rights holders in a scientific and precise manner. After making a relatively accurate judgment on the "copyright risk", for works with very low copyright risk, there is no need to "abandon dissemination due to copyright", thereby improving the efficiency of copyright management and broadcast work. This method can also instantly identify positive or negative evaluation indicators of copyright owners and copyright works based on their recent reviews and popularity, making its recommendations more reliable and effective. The present invention records copyright risk matters through a blockchain device, achieving credibility and immutability in the blockchain. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for the description of the embodiments. Obviously, the following-described drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0038] Figure 1 Schematic diagram of an embodiment of the method for requesting copyright risk assessment of the present invention;

[0039] Figure 2 Schematic diagram of an embodiment of the method for requesting copyright confirmation evaluation of the present invention;

[0040] Figure 3 Schematic diagram of a structure of the broadcast copyright management system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] In order to make the purpose, technical solutions and beneficial effects of this application clearer, the following further details this application in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0042] The system described in the present invention includes a copyright management client, a copyright acceptance terminal, and a blockchain device. That is, a method for implementing decentralized and distributed data storage, transmission, and proof through data blocks (Block) in blockchain technology, such that all data changes and transaction items are recorded on a cloud system. The present invention focuses on the risk assessment of broadcast work copyrights based on blockchain technology. The copyright registration described in the present invention refers to the initial copyright registration matters carried out by the copyright owner within the system. Of course, the copyright owner can also perform the copyright risk assessment operation during the non-registration operation process. This operation mainly relies on the analysis of the request data by the copyright acceptance terminal and writes the corresponding analysis results into the corresponding blockchain device. The blockchain device records the time point for each copyright risk assessment and broadcasts this matter to the network. The copyright acceptance terminal can also query and retrieve relevant data in the corresponding broadcast copyright risk assessment matters from the blockchain and obtain a recommended value for the priority of copyright confirmation for the broadcast copyright through evaluation and calculation.

[0043] It should be noted that there are corresponding descriptions in the prior art regarding the copyright management method of blockchain technology. For example, a copyright management method and system disclosed in Patent CN107145768A. The present application aims to solve the technical problem of how to prioritize the confirmation of broadcast copyrights. Its technical solutions such as copyright registration in the broadcast copyright management based on blockchain technology are not within the scope of protection required by the present application. Therefore, they are not described in detail in the present application. And the copyright management method based on blockchain technology is prior art. Not describing this technical solution does not affect the implementation of the technical solution of the present application.

[0044] It should be noted that the recommended value for the priority of copyright confirmation described here refers to the premise that the copyright of single or multiple broadcast works needs to be confirmed. As a copyright user, practitioners in the radio and television industry can know the likelihood of being claimed rights for using works without permission and the severity of the possible legal liability through the recommended value for the priority of copyright confirmation of each broadcast work copyright. According to the recommended value for the priority of copyright confirmation, it can be decided which works need to be confirmed first and which works can be temporarily not confirmed to ensure the efficient and beneficial progress of the broadcast work.

[0045] The embodiments of the present invention will be described below with reference to the accompanying drawings. Refer to Figure 1 , a broadcast copyright management method, the method at least includes: when performing copyright registration

[0046] S10. The copyright acceptance terminal receives a copyright risk assessment request uploaded by the copyright management client and generates a copyright risk assessment transaction;

[0047] S11. Analyze the copyright owner and their work resources according to the copyright risk assessment transaction and generate a corresponding copyright work factor weight coefficient α;

[0048] S12. Save the copyright risk assessment transaction including the weight coefficient α of the copyright work factor to the copyright blockchain database.

[0049] The copyright risk assessment request transaction can be represented by various forms of data structures, such as tables, files, or data of a certain data structure. Specifically, the copyright risk assessment request transaction in each data structure includes the version number of the copyright risk assessment transaction, the corresponding type, the input request content, etc. The input request content includes the identifier of the broadcast copyright work, the digital signature of the copyright owner, and the relevant analysis transaction of the copyright owner and his work resources.

[0050] In this method, the specific analysis of the copyright owner and his work resources in S11 includes:

[0051] 1. The copyright acceptance terminal obtains the specific level information of the attention of the copyright owner and the attention of the copyright work on the copyright management public platform, multiplies the level by its corresponding weight coefficient, and calculates the attention evaluation value;

[0052] After the copyright acceptance terminal generates the analysis item of the copyright owner and his work resources, it conducts resource classification analysis. The terminal can obtain the official information of the copyright management public platform, such as the attention of the copyright owner and the attention of the copyright work. Among them, the copyright management public platform can be the click-through rate of the relevant copyright management public platform, the copyright type display platform, or the level conversion based on the hot search index on the social platform / search engine. Of course, the present invention aims to judge the copyright use strategy according to the attention of the copyright owner and the copyright work. The attention of the copyright owner or the copyright work may change over time or due to wide recognition, resulting in changes in attention. Then, the copyright acceptance terminal can re-request the copyright risk assessment to re-estimate the weight coefficient α of the copyright work factor. In one example, the attention of the copyright owner is converted according to the search index, and the attention of the copyright work is converted according to the search index / click-through rate. Compared with the weight coefficient ω_ worksr of the attention a_ worksr of the copyright work, the weight coefficient ω_ owner occupied by the attention a_ owner of the copyright owner is smaller; the attention evaluation value is marked as I_ att , and its calculation formula can be expressed as: I_ att =(a_ works *ω_ worksr )*(a_ owner *ω_ owner ).

[0053] In the actual application process, the attention of the copyright owner and the attention of the copyright work will be calculated according to the specific nature; in one example, the specific calculation method of the attention evaluation value is:

[0054] Obtain the search indices of copyright holders on each mainstream platform within the set recent time period, and judge the nature of copyright holder attention according to the nature of the search indices: when the search index belongs to the red list, set the nature of copyright holder attention to 1, and when it belongs to the black list, set the nature of copyright holder attention to 0.01; the degree of copyright holder attention is the product of the nature of copyright holder attention and the conversion value of the copyright holder search index.

[0055] Obtain the search indices and click-through rates of copyright works on each mainstream platform within the set recent time period, and judge the nature of copyright work attention according to the nature of the search indices; when the search index belongs to the red list, set the nature of copyright work attention to 1, and when it belongs to the black list, set the nature of copyright work attention to 0.01; the degree of copyright work attention is the product of the nature of copyright work attention and the conversion value of the copyright work search index and click-through rate.

[0056] The product obtained by multiplying the degree of copyright holder attention and the degree of copyright work attention by their corresponding weight coefficients respectively is the attention evaluation value.

[0057] In some actual application processes, the reviews of copyright holders or copyright works may be good and bad at the same time. When the nature of the search index includes the red list and the black list, obtain the degree of copyright holder attention in the red list state and the degree of copyright holder attention in the black list state according to the above method, and the degree of copyright holder attention takes the average value of the degree of copyright holder attention in the red list state and the degree of copyright holder attention in the black list state; similarly, the degree of copyright work attention takes the average value of the degree of copyright work attention in the red list state and the degree of copyright work attention in the black list state.

[0058] The above red and black lists refer to whether the corresponding copyright works and copyright holders belong to the positive red list or the negative black list of negative examples in the current period. By setting the nature of attention, calculation errors in copyright recommendations can be avoided.

[0059] 2. The copyright acceptance terminal obtains the corresponding work length evaluation value according to the copyright work type and the length of the corresponding type.

[0060] Copyright work types include text, music, film and television, etc. Among them, the length of text is described by the number of digits, and the length of music and film and television is described by the duration; in some examples, the work length evaluation value I_ length = L * ω_ worksr where ω_ worksr is the weight coefficient. Different copyright work types have different weight coefficients, and L represents the length. The measurement of the length can be described by dividing into intervals. For example, L is set to 0 as the basis, and when the copyright type is numbers, the number is set to 10 as the basis, and on this basis, an increase of 0.01 is made for every 10 numbers.

[0061] 3. Add the attention evaluation value and the work length evaluation value to obtain the weight coefficient α of the copyright work factor. That is, the weight coefficient α of the copyright work factor = I_ att +I_ length .

[0062] It should also be noted that the weight coefficient of the copyright work factor can also set factors for the copyright acceptance terminal according to the specific situation of the work, not limited to the two factors of attention and length described in this application. Under the design principle of the present invention, it can also include factors such as the popularity of the copyright owner and the popularity of the work.

[0063] In a design solution, before the above method S12, it also includes: the copyright acceptance terminal verifies the copyright risk assessment request to check whether the request includes the signature of the copyright owner and matches the public key provided by the copyright registration. If it matches, go to step S12; if it does not match, the response is that the copyright risk assessment request fails. That is, the copyright owner has the right to decide whether to conduct a risk assessment of his own copyright work. When the copyright acceptance terminal verifies that the requester of this matter is indeed the copyright owner, the copyright risk assessment matter is initiated to better protect the work copyright of the copyright owner.

[0064] In step S12, save the copyright risk assessment matter to the copyright blockchain database, that is: the blockchain device creates a copyright risk assessment matter item, saves the corresponding copyright risk assessment matter, and generates a corresponding time stamp for the copyright risk assessment at the same time. The copyright acceptance terminal writes the copyright risk assessment matter into the block body (BlockBoby) of the corresponding blockchain. The block body contains relevant copyright risk assessment matter types, signatures of type matters, and type matter contents. Of course, the type matter includes the weight coefficient α of the copyright work factor at the time of the matter occurrence and the corresponding time point.

[0065] In a technical solution designed in this application, as Figure 2 shown, the method also includes, when conducting copyright confirmation evaluation

[0066] S20. The copyright acceptance terminal receives the copyright confirmation evaluation request and generates a copyright assessment matter according to the copyright confirmation evaluation request;

[0067] S21. The copyright acceptance terminal analyzes the copyright work usage method in the copyright assessment matter and generates a corresponding copyright usage weight coefficient β;

[0068] S22. The copyright acceptance terminal obtains the standard copyright work factor weight coefficient α information from the corresponding copyright management transaction in the blockchain, multiplies the copyright work factor weight coefficient α by the copyright use weight coefficient β to obtain the final evaluation recommendation value, and sends it to the copyright management client.

[0069] Among them, the analysis of the copyright work usage method in the copyright evaluation transaction in S21 specifically includes:

[0070] 1. The copyright acceptance terminal obtains the duration of the copyright work to be broadcast in a single broadcast from the copyright confirmation evaluation request, multiplies the duration by its corresponding weight coefficient, and calculates the broadcast duration evaluation value;

[0071] 2. The copyright acceptance terminal obtains the broadcast frequency of the copyright work to be broadcast from the copyright confirmation evaluation request, multiplies the frequency by its corresponding weight coefficient, and calculates the broadcast frequency evaluation value;

[0072] The content of the copyright confirmation evaluation request includes the usage method of the copyright work by the copyright user, including factors such as whether it is for profit, whether it is used as the core content, the playback duration and frequency, etc. When the copyright acceptance terminal receives this request, it conducts a weight evaluation on each factor. For example, it obtains the duration L1 of the copyright work to be broadcast in a single broadcast. This L1 is a conversion value, and its conversion method is the corresponding broadcast program duration L0 and the duration L of the copyright work in this broadcast program. x , then L1 = L x / L0; the single-broadcast duration evaluation value is marked as I_ length _ x , that is, I_ length _ x = L1 * ω_ length _ x , where ω_ length _ x is the weight coefficient of the single-broadcast duration. The broadcast frequency of the broadcast copyright work is calculated based on the number of occurrences within the preset time. For example, calculated based on 24 hours, the number of broadcasts of the copyright work. The more the number of times, the larger the corresponding value. The broadcast frequency evaluation value I_ rate＝ F * ω_ rate , where ω_ rate is the weight coefficient of the broadcast frequency, and F is the frequency size of the broadcast per 24 hours. The calculation method of this frequency size is F = number of broadcasts / 24.

[0073] 3. The copyright acceptance terminal obtains whether the copyright work to be broadcast is for profit from the copyright confirmation evaluation request. If so, the weight value of this purpose is 1 unit value. If not, it is recorded as 0;

[0074] 4. Add the broadcast duration evaluation value, the broadcast frequency evaluation value, and the target weight value to obtain the copyright usage weight coefficient β = I_ length _ x +I_ rate + the target weight value (1 or 0).

[0075] In step S22, when the copyright acceptance terminal obtains the copyright work factor weight coefficient α information from the corresponding copyright management transaction in the blockchain, it also includes the verification of the timestamp of the copyright risk assessment. Specifically: the copyright acceptance terminal traverses the timestamp information under the copyright work factor weight coefficient α in the blockchain device, compares the timestamp information with the current time, determines the one closest to the current time as the standard timestamp, and obtains the copyright work factor weight coefficient α corresponding to the standard timestamp, which is the standard copyright work factor weight coefficient α information.

[0076] When the copyright acceptance terminal of the present invention conducts copyright confirmation evaluation, it can input multiple copyright works through the copyright management client, conduct copyright confirmation evaluation analysis on multiple copyright works simultaneously, and display the obtained multiple evaluation recommendation values to the requester at the same time, enabling the requester to clearly compare the evaluation recommendation values of multiple copyright works in a broadcast program, so as to judge which corresponding copyright works need to be preferably confirmed and which ones do not need to be confirmed for the time being.

[0077] In some examples, the present invention discloses a broadcast copyright management system, which is used to implement the method described in the above embodiments. As Figure 3 shown, the broadcast copyright management system includes a copyright management client, a copyright acceptance terminal, and a blockchain device, which are specifically described as follows.

[0078] The copyright management client is used to receive the request information of relevant copyright transaction requesters, that is, including the registration transactions of copyright owners, the copyright evaluation transactions of copyright users, etc. are all input through this client.

[0079] The copyright acceptance terminal receives the request information input by the copyright management client. The copyright acceptance terminal specifically includes:

[0080] The copyright risk assessment transaction generation module is configured to receive the copyright risk assessment request uploaded by the copyright management client and generate a copyright risk assessment transaction;

[0081] The copyright owner and his work resource analysis module is used to analyze the factors including the attention of the copyright owner, the attention of the copyright work, and the length of the copyright work according to the copyright risk assessment transaction, and generate the corresponding copyright work factor weight coefficient α;

[0082] The copyright evaluation transaction generation module is configured to receive the copyright confirmation evaluation request and generate a copyright evaluation transaction according to the copyright confirmation evaluation request;

[0083] The copyright work usage analysis module is used to analyze factors including the broadcast duration, frequency, and purpose of the broadcast of the copyright work in the copyright evaluation transaction, and generate the corresponding copyright usage weight coefficient β;

[0084] The copyright confirmation evaluation module is configured to multiply the copyright work factor weight coefficient α obtained from the blockchain device and the copyright usage weight coefficient β obtained from its analysis to obtain the final evaluation recommendation value;

[0085] The request verification module is configured to verify the copyright risk assessment request, check whether the request includes the signature of the copyright owner, and whether it matches the public key provided by the copyright registration;

[0086] The timestamp verification module is used to traverse the timestamp information under the copyright work factor weight coefficient α in the blockchain device, compare the timestamp information with the current time, determine the one closest to the current time as the standard timestamp, and obtain the copyright work factor weight coefficient α corresponding to the standard timestamp, which is the standard copyright work factor weight coefficient α information.

[0087] The blockchain device is configured to create a copyright risk assessment transaction item, save the corresponding copyright risk assessment transaction, and generate a timestamp for the corresponding copyright risk assessment.

[0088] Those skilled in the art should understand that for the blockchain device described in the present invention, its network device has the function of implementing the behavior of the blockchain device in the method described in the present invention. The function can be implemented by hardware or by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions. The blockchain device structure includes a processor or a memory. The memory is used to store the application program code that supports the blockchain device to execute the method of the present invention, and the processor is configured to execute the application program stored in the memory.

[0089] The present invention provides a copyright acceptance terminal in front of the blockchain device, that is, the network device of the present invention has the function of implementing its copyright management transactions (command operations of transaction types, receiving relevant information, etc.). The function can be implemented by hardware or by hardware executing corresponding software.

[0090] The present invention provides a copyright customer management terminal in front of the copyright acceptance terminal, that is, the network device of the present invention has the function of implementing its transaction behavior, which is an input port for relevant copyright transaction requesters (copyright owners, copyright users, etc.). This function can be implemented by terminals such as computers and mobile devices.

[0091] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0092] The above-described embodiments do not constitute a limitation on the protection scope of the technical solution. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the above embodiments shall be included in the protection scope of the technical solution.

Claims

1. A broadcast copyright management method, the method at least includes: When conducting copyright registration S10. The copyright acceptance terminal receives a copyright risk assessment request uploaded by the copyright management client and generates a copyright risk assessment transaction; S11. Analyze the copyright owner and their work resources according to the copyright risk assessment transaction, and generate the corresponding copyright work factor weight coefficient α; S12. Save the copyright risk assessment transaction including the copyright work factor weight coefficient α to the copyright blockchain database; When conducting copyright confirmation evaluation S20. The copyright acceptance terminal receives a copyright confirmation evaluation request and generates a copyright assessment transaction according to the copyright confirmation evaluation request; S21. The copyright acceptance terminal analyzes the copyright work usage method in the copyright assessment transaction and generates the corresponding copyright usage weight coefficient β; S22. The copyright acceptance terminal obtains the standard copyright work factor weight coefficient α information from the corresponding copyright management transaction in the blockchain, multiplies the copyright work factor weight coefficient α by the copyright usage weight coefficient β to obtain the final evaluation recommendation value, and sends it to the copyright management client; The evaluation recommendation value is used to determine the priority degree of copyright confirmation for broadcast copyright; The analysis of the copyright owner and their work resources in S11 specifically includes: The copyright acceptance terminal obtains the specific level information of the copyright owner's attention and the copyright work's attention on the copyright management public platform, multiplies the level by its corresponding weight coefficient, and calculates the attention evaluation value; The copyright acceptance terminal obtains the corresponding work length evaluation value according to the copyright work type and the length of the corresponding type; Add the attention evaluation value and the work length evaluation value to obtain the copyright work factor weight coefficient α; The analysis of the copyright work usage method in the copyright assessment transaction in S21 specifically includes: The copyright acceptance terminal obtains the duration of the copyright work to be broadcast in a single broadcast from the copyright confirmation evaluation request, multiplies the duration by its corresponding weight coefficient, and calculates the broadcast duration evaluation value; The copyright acceptance terminal obtains the broadcast frequency of the copyright work to be broadcast from the copyright confirmation evaluation request, multiplies the frequency by its corresponding weight coefficient, and calculates the broadcast frequency evaluation value; The copyright acceptance terminal obtains whether the copyright work to be broadcast is for profit-making purposes from the copyright confirmation evaluation request. If so, the purpose weight value is 1 unit value. If not, it is recorded as 0; Add the broadcast duration evaluation value, the broadcast frequency evaluation value, and the purpose weight value to obtain the copyright usage weight coefficient β.

2. The broadcast copyright management method according to claim 1, characterized in that, The specific calculation method of the attention evaluation value is: Obtain the search index of the copyright owner on each mainstream platform in the set recent time period, and judge the copyright owner's attention nature according to the nature of the search index: when the search index belongs to the red list, set the copyright owner's attention nature to 1, and when it belongs to the black list, set the copyright owner's attention nature to 0.01; the copyright owner's attention is the product of the copyright owner's attention nature and the conversion value of the copyright owner's search index; Obtain the search index and click-through rate of copyright works on each mainstream platform within the set recent time period, and judge the nature of attention to copyright works according to the nature of the search index; when the search index belongs to the red list, set the nature of attention to copyright works as 1, and when it belongs to the black list, set the nature of attention to copyright works as 0.01; the attention degree of the copyright work is the product of the nature of attention to the copyright work and the conversion value of the search index and click-through rate of the copyright work. The product obtained by multiplying the attention degree of the copyright owner and the attention degree of the copyright work by their corresponding weight coefficients respectively is the attention degree evaluation value. Among them, when the nature of the search index includes the red list and the black list, the attention degree of the copyright owner takes the average value of the attention degree of the copyright owner in the red list state and the attention degree of the copyright owner in the black list state; the attention degree of the copyright work takes the average value of the attention degree of the copyright work in the red list state and the attention degree of the copyright work in the black list state.

3. The broadcast copyright management method according to claim 1, characterized in that Before the step S12, it also includes: the copyright acceptance terminal verifies the copyright risk assessment request, checks whether the request includes the signature of the copyright owner and matches the public key provided by the copyright registration. If it matches, go to step S12; if it does not match, the response is that the copyright risk assessment request fails. The specific process of saving the copyright risk assessment transaction to the blockchain database in the step S12 is as follows: the blockchain device creates a copyright risk assessment transaction item, saves the corresponding copyright risk assessment transaction, and generates a time stamp corresponding to the copyright risk assessment at the same time.

4. The broadcast copyright management method according to claim 1, characterized in that, The specific calculation method of the broadcast duration evaluation value is as follows: Obtain the duration L1 of the copyright work to be broadcast in a single broadcast through the formula L1 = L x / L0, where L0 is the duration of the corresponding broadcast program, and L x is the duration of the copyright work in this broadcast program; multiply the duration L1 in a single broadcast by its weight coefficient to obtain the evaluation value of the single broadcast duration; The specific calculation method of the broadcast frequency evaluation value is as follows: Calculate the frequency of broadcasting copyright works according to the number of occurrences within the preset time. The calculation formula for the frequency size F is F = number of broadcasts / preset time; multiply the frequency size F by the weight coefficient of the broadcast frequency to obtain the broadcast frequency evaluation value.

5. The broadcast copyright management method according to claim 3, wherein When the copyright acceptance terminal obtains the copyright work factor weight coefficient α information from the corresponding copyright management transaction in the blockchain in the step S22, it also includes the verification of the time stamp of the copyright risk assessment. Specifically: the copyright acceptance terminal traverses the time stamp information under the copyright work factor weight coefficient α in the blockchain device, compares the time stamp information with the current time, determines the time stamp closest to the current time as the standard time stamp, and obtains the copyright work factor weight coefficient α corresponding to the standard time stamp, which is the standard copyright work factor weight coefficient α information.

6. A broadcast copyright management system applying the broadcast copyright management method according to any one of claims 1-5, characterized in that The system includes at least A copyright management client for receiving request information from relevant copyright transaction requesters; A copyright acceptance terminal for receiving the request information input by the copyright management client. The copyright acceptance terminal specifically includes A copyright risk assessment transaction generation module configured to receive a copyright risk assessment request uploaded by the copyright management client and generate a copyright risk assessment transaction; A copyright owner and his work resource analysis module for analyzing factors including the attention degree of the copyright owner, the attention degree of the copyright work, and the length of the copyright work according to the copyright risk assessment transaction, and generating a corresponding copyright work factor weight coefficient α; A copyright assessment transaction generation module configured to receive a copyright confirmation evaluation request and generate a copyright assessment transaction according to the copyright confirmation evaluation request. A copyright work usage analysis module, which is used to analyze factors including the broadcast duration, frequency, and the purpose of the broadcast of the copyright work in the copyright evaluation transaction, and generate a corresponding copyright usage weight coefficient β; A copyright confirmation evaluation module, configured to multiply the copyright work factor weight coefficient α obtained from the blockchain device and the copyright usage weight coefficient β obtained from its analysis to obtain a final evaluation recommendation value; A blockchain device, configured to create a copyright risk assessment transaction item, save the corresponding copyright risk assessment transaction, and generate a time stamp for the corresponding copyright risk assessment.

7. The broadcast copyright management system according to claim 6, characterized in that, The copyright acceptance terminal further includes a request verification module, configured to verify the copyright risk assessment request, check whether the request includes the signature of the copyright owner, and whether it matches the public key provided by the copyright registration.

8. The broadcast copyright management system according to claim 6, characterized in that, The copyright acceptance terminal further includes a time stamp verification module, which is used to traverse the time stamp information under the copyright work factor weight coefficient α in the blockchain device, compare the time stamp information with the current time, determine the time stamp closest to the current time as the standard time stamp, and obtain the copyright work factor weight coefficient α corresponding to the standard time stamp, which is the standard copyright work factor weight coefficient α information.

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