Block chain-based multi-modal digital human copyright management method and system

Abstract

The invention provides a block chain-based multi-modal digital human copyright management method and system. The method comprises the following steps: multi-modal digital human information is uploaded to a background server from a client; the background server packages the multi-mode digital human information uploaded by the client into data blocks, and generates file fingerprints and picture codes of the digital human; the background server sends the data block to a distributed security file system for storage, and receives a file address returned by the security file system; the background server sends the generated file fingerprint, the digital person picture code and a file address returned by the security file system to a block chain network, and calls a chain code to link the digital person copyright; and the multi-mode digital human copyright information is publicized. According to the invention, the copyright attribution of the digital human image can be determined according to the copyright attribution information stored in the block chain, so that the multi-mode digital human copyright buying is avoided, and the right protection difficulty is reduced.

Description

technical field [0001] The invention belongs to the technical field of block chain technology application and digital human identity copyright management, and relates to a multi-mode digital human copyright management method and system based on block chain. Background technique [0002] In traditional AI cognition, face recognition and behavior detection in the visual field, speech recognition and speech synthesis in the speech field, and human-machine dialogue in the natural language field have many successful applications. These fields were technologies and applications that evolved independently before, and can be considered as single-modal technologies. Different modal forms describe the characteristics of the same object under different angles. Artificial intelligence is the imitation and learning of humans, and humans are an intelligent body that sees, listens, and speaks in multiple modes, so multi-modal technology is the direction of future artificial intelligence ap...

AI Technical Summary

Problems solved by technology

However, due to the difficulty of Internet supervision and information dissemination, it is also possible to modify the content of video broadcasts through Deepfake technology, which will lead to copyright disputes, difficulties in confirming rights, and difficulties in safeguarding rights after multi-modal digital people are disseminated on the Internet. While causing economic losses to AI manufacturers, it also discourages the enthusiasm for research and development of multi-modal digital human technology. The use of blockchain technology can realize the openness, transparency, non-tampering, non-lost, and traceability of multi-modal digital human copyrights.

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