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International Conference on Intelligent Computing

ICIC 2014: Intelligent Computing Theory pp 553–559Cite as

A Robust Reversible Data Hiding Scheme for H.264 Based on Secret Sharing

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8588))

Abstract

This paper proposes a robust reversible data hiding scheme in H.264. We divide the original video into several groups by using the secret sharing technique to improve the robustness of the embedded data. Then we embed the embedded data into the coefficients of the 4 × 4 discrete cosine transform (DCT) block of the selected frames which meet our conditions to avert the distortion drift. The experimental results show that this new robust reversible data hiding algorithm can get more robustness, effectively avert intra-frame distortion drift.

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Author information

Authors and Affiliations

  1. Zhengzhou Normal University, Zhengzhou, 450044, China

    Yunxia Liu, Suimin Jia, Mingsheng Hu & Zhijuan Jia

  2. Huazhong University of Science and Technology, Wuhan, 430074, China

    Yunxia Liu & Hongguo Zhao

  3. National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, 100029, China

    Liang Chen

Authors
  1. Yunxia Liu
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  2. Suimin Jia
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  3. Mingsheng Hu
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  4. Zhijuan Jia
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  5. Liang Chen
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  6. Hongguo Zhao
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. Electrical and Electronics Department, Politecnico of Bari, Via Orabona, 4,, 70125, Bari, Italy

    Vitoantonio Bevilacqua

  3. School of Electrical, Computer and Telecommunications Engineering, University of Wollongon, 2522, North Wollongon, NSW, Australia

    Prashan Premaratne

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© 2014 Springer International Publishing Switzerland

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Liu, Y., Jia, S., Hu, M., Jia, Z., Chen, L., Zhao, H. (2014). A Robust Reversible Data Hiding Scheme for H.264 Based on Secret Sharing. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_61

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  • DOI: https://doi.org/10.1007/978-3-319-09333-8_61

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09332-1

  • Online ISBN: 978-3-319-09333-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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