Media attribution systems and methods

Abstract

Systems and methods for providing reliable and authoritative attribution of digital media works at the time of submission to a media distribution service using distributed ledger and machine learning technology. In particular, the described systems and methods facilitate establishing a link between the creator or owner, and their work, in an authoritative and reliable manner.

1 . A method of attributing media data items in a media attribution system, the method comprising:
 receiving a media data item, the media data item comprising media data and metadata;   computing at least one metric based on the media data item;   transmitting an attribution request comprising the at least one metric to a plurality of nodes of the media management system;   receiving a plurality of attribution responses from the plurality of nodes, each attribution response comprising a respective attribution score computed by the respective node based on the at least one metric;   computing a consensus attribution score based on the plurality of respective attribution scores in the plurality of attribution responses;   when the consensus attribution score exceeds a predetermined attribution score threshold, attributing the media data item to one or more rightsholder account in an attribution database.   
     
     
         2 . The method of  claim 1 , wherein the computing comprises processing the media data item using a machine learning system trained using a corpus of media data items. 
     
     
         3 . The method of  claim 2 , wherein the machine learning system processes the media data. 
     
     
         4 . The method of  claim 2 , wherein the machine learning system processes the metadata. 
     
     
         5 . The method of  claim 1 , wherein the plurality of nodes communicate via peer-to-peer networking. 
     
     
         6 . The method of  claim 1 , further comprising determining, based on the machine learning system processing the media data, that a related media data is stored in the attribution database. 
     
     
         7 . The method of  claim 6 , further comprising updating the attribution database to store a link between the media data and the related media data. 
     
     
         8 . The method of  claim 6 , further comprising invoking an exception handling process. 
     
     
         9 . The method of  claim 1 , wherein the computing comprises retrieving and comparing the metadata with external metadata sources. 
     
     
         10 . The method of  claim 9 , wherein each of the plurality of nodes maintains a local copy of the attribution database, further comprising, transmitting the attribution of the media data item to the rightsholder account to each of the plurality of nodes, when the consensus attribution score exceeds the predetermined attribution score threshold. 
     
     
         11 . The method of  claim 1 , wherein attributing the media data item to the rightsholder account comprises fingerprinting the media data to generate a unique identifier associated with the media data, and storing the unique identifier in the attribution database. 
     
     
         12 . The method of  claim 1 , wherein attributing the media data item to the one or more rightsholder account comprises determining one or more related media data items in the attribution database, and storing a link between the media data item and the one or more related media data items in the attribution database. 
     
     
         13 . The method of  claim 1 , wherein attributing the media data item to the one or more rightsholder account comprises determining a timestamp, and storing the timestamp in the attribution database. 
     
     
         14 . The method of  claim 1 , further comprising generating one or more automated processes, each of the automated processes generating an output associated with the one or more rightsholder account. 
     
     
         15 . The method of  claim 14 , wherein the media management system comprises a blockchain, and wherein the one or more automated processes are smart contracts. 
     
     
         16 . The method of  claim 14 , wherein the one or more automated processes comprise a smart contract selected from the group consisting of: a right owner smart contract, a royalty smart contract, and a disputes smart contract. 
     
     
         17 . The method of  claim 1 , further comprising, when the consensus attribution score does not exceed the predetermined attribution score threshold, transmitting a non-attribution notification to the plurality of nodes. 
     
     
         18 . The method of  claim 17 , further comprising engaging an exception handling process in response to the non-attribution notification. 
     
     
         19 . The method of  claim 18 , wherein the exception handling process is a computational consensus mechanism involving the plurality of nodes. 
     
     
         20 . A non-transitory computer readable medium storing computer-executable instructions that, when executed by a computer processor, cause the computer processor to perform a method of attributing media data items in a media attribution system, the method comprising:
 receiving a media data item, the media data item comprising media data and metadata;   computing at least one metric based on the media data item;   transmitting an attribution request comprising the at least one metric to a plurality of nodes of the media management system;   receiving a plurality of attribution responses from the plurality of nodes, each attribution response comprising a respective attribution score computed by the respective node based on the at least one metric;   computing a consensus attribution score based on the plurality of respective attribution scores in the plurality of attribution responses;   when the consensus attribution score exceeds a predetermined attribution score threshold, attributing the media data item to one or more rightsholder account in an attribution database.