Design and Implementation of Blockchain-based Image Copyright Confirmation System

While Internet technology facilitates the dissemination of digital content, it also brings challenges to copyright protection, such as infringements of copyright such as illegal copying and unauthorized use. The traditional digital copyright management technology is difficult to adapt to the new needs of copyright protection. In this paper, a blockchain-based copyright protection system for digital products is studied and implemented. The system utilizes FISCO BCOS and smart contracts to realize various copyright functions, such as copyright registration, copyright deposit, etc.; IPFS is used to store the files in a distributed manner; dHash and SIFT algorithms are used to extract the image features, generate the unique copyright identifier and record it on the blockchain; and blind watermarking algorithms are used to embed the copyright information and locate the infringing address accurately. Experiments show that the system has the advantages of automatic detection of image copyright attribution, anti-tampering of image copyright transaction, and traceability of image copyright infringement.

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Publication Details

Published
2024-08-25
DOI
https://doi.org/10.1109/cost64302.2024.00048
Citations
1
Primary Topic
AI and Multimedia in Education
Type
article
Field-Weighted Citation Impact
0.35

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article

Design and Implementation of Blockchain-based Image Copyright Confirmation System

Fang Meng, Minglu Xu
1 citations
AI and Multimedia in Education
0.35
article

Design and Implementation of Blockchain-based Image Copyright Confirmation System

Fang Meng, Minglu Xu
article en
1 citations

Abstract

While Internet technology facilitates the dissemination of digital content, it also brings challenges to copyright protection, such as infringements of copyright such as illegal copying and unauthorized use. The traditional digital copyright management technology is difficult to adapt to the new needs of copyright protection. In this paper, a blockchain-based copyright protection system for digital products is studied and implemented. The system utilizes FISCO BCOS and smart contracts to realize various copyright functions, such as copyright registration, copyright deposit, etc.; IPFS is used to store the files in a distributed manner; dHash and SIFT algorithms are used to extract the image features, generate the unique copyright identifier and record it on the blockchain; and blind watermarking algorithms are used to embed the copyright information and locate the infringing address accurately. Experiments show that the system has the advantages of automatic detection of image copyright attribution, anti-tampering of image copyright transaction, and traceability of image copyright infringement.

Communication University of China (CN)
Research and Development
Openalex Percentile: Top 34%
AI and Multimedia in Education
0.35
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