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Image Approximate Copy Copyright Detection Technology and Algorithm for Network Propagation Under Big Data Condition

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

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Abstract

This paper adopts the viewpoint of image copy detection which combines local and global features, gives full play to the matching advantages of different image features, dynamically adjusts the weight of feature fusion according to the expressive ability of different image features and the image content characteristics of different image data sets, calculates the optimal weight allocation value, and proposes the dynamic update weight allocation calculation. This method further improves the accuracy and comprehensiveness of image approximate copy detection.

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Author information

Authors and Affiliations

  1. School of Literature and Journalism, Cui-Yan Inner Mongolia University for Nationalities, Tongliao, 028043, China

    Yan Cui

  2. Dalian University of Technology, Dalian, 116029, China

    Yinhe Cui

Authors
  1. Yan Cui
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  2. Yinhe Cui
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Corresponding author

Correspondence to Yinhe Cui .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  2. University of Aizu, Fukushima, Japan

    Neil Yen

  3. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Cui, Y., Cui, Y. (2021). Image Approximate Copy Copyright Detection Technology and Algorithm for Network Propagation Under Big Data Condition. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_179

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_179

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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