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Blockchain-based image copyright registration method supporting multi-dimensional data query.

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Title: Blockchain-based image copyright registration method supporting multi-dimensional data query.
Authors: Chen, Lu, Sun, Yuwei, Wang, Zixuan, Liu, Chenlei, Sun, Zhixin
Source: PeerJ Computer Science; Oct2025, p1-25, 25p
Subject Terms: Copyright registration, Blockchains, Copyright, Information retrieval, Data structures, Intellectual property
Abstract: Blockchain technology for image copyright registration eliminates the dependence on third-party institutions, making it a current research hotspot. However, existing methods suffer from a critical bottleneck: the lack of an efficient on-chain mechanism for originality detection, as they rely on inefficient, single-mode queries. This article proposes the multi-dimensional query (MDQ) scheme, a blockchain-based image copyright registration framework designed to solve this challenge. The core of our scheme is a novel block storage structure, the Merkle-KD (MKD) tree, which synergistically combines the verifiability of Merkle trees with the efficiency of KD-trees. This structure enables fast, multi-dimensional similarity searches directly on the blockchain, allowing for robust originality checks to be performed prior to registration. At the same time, user identity is embedded within the copyright data to enable user-specific information queries. The effectiveness of our scheme is validated through simulation experiments, which demonstrate that our proposed method significantly improves the efficiency of image copyright registration and expands the on-chain copyright query modes. [ABSTRACT FROM AUTHOR]
Copyright of PeerJ Computer Science is the property of PeerJ Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
  Group: Ti
  Data: Blockchain-based image copyright registration method supporting multi-dimensional data query.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Lu%22">Chen, Lu</searchLink><br /><searchLink fieldCode="AR" term="%22Sun%2C+Yuwei%22">Sun, Yuwei</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Zixuan%22">Wang, Zixuan</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Chenlei%22">Liu, Chenlei</searchLink><br /><searchLink fieldCode="AR" term="%22Sun%2C+Zhixin%22">Sun, Zhixin</searchLink>
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  Data: PeerJ Computer Science; Oct2025, p1-25, 25p
– Name: Subject
  Label: Subject Terms
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  Data: <searchLink fieldCode="DE" term="%22Copyright+registration%22">Copyright registration</searchLink><br /><searchLink fieldCode="DE" term="%22Blockchains%22">Blockchains</searchLink><br /><searchLink fieldCode="DE" term="%22Copyright%22">Copyright</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Data+structures%22">Data structures</searchLink><br /><searchLink fieldCode="DE" term="%22Intellectual+property%22">Intellectual property</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Blockchain technology for image copyright registration eliminates the dependence on third-party institutions, making it a current research hotspot. However, existing methods suffer from a critical bottleneck: the lack of an efficient on-chain mechanism for originality detection, as they rely on inefficient, single-mode queries. This article proposes the multi-dimensional query (MDQ) scheme, a blockchain-based image copyright registration framework designed to solve this challenge. The core of our scheme is a novel block storage structure, the Merkle-KD (MKD) tree, which synergistically combines the verifiability of Merkle trees with the efficiency of KD-trees. This structure enables fast, multi-dimensional similarity searches directly on the blockchain, allowing for robust originality checks to be performed prior to registration. At the same time, user identity is embedded within the copyright data to enable user-specific information queries. The effectiveness of our scheme is validated through simulation experiments, which demonstrate that our proposed method significantly improves the efficiency of image copyright registration and expands the on-chain copyright query modes. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of PeerJ Computer Science is the property of PeerJ Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.7717/peerj-cs.3284
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      – Code: eng
        Text: English
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        PageCount: 25
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      – SubjectFull: Copyright registration
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      – SubjectFull: Blockchains
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      – SubjectFull: Copyright
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      – SubjectFull: Information retrieval
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      – SubjectFull: Data structures
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      – SubjectFull: Intellectual property
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      – TitleFull: Blockchain-based image copyright registration method supporting multi-dimensional data query.
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              M: 10
              Text: Oct2025
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              Y: 2025
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