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Video Watermarking Based on Spatio-temporal JND Profile

  • Conference paper
Digital Watermarking (IWDW 2008)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5450))

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Abstract

As digital multimedia become easier to copy, exchange and modify, digital watermarking is becoming more and more important for protecting the authenticity of multimedia. The most important properties of digital watermarking techniques are robustness, imperceptibility and complexity. In this paper, a video watermarking scheme based on spatio-temporal just noticeable difference (JND) profile of human visual system (HVS) is presented. The JND profile is used to adaptively adjust the energy of the watermark during embedding. Hence, a good balance between imperceptibility and robustness is obtained. Moreover, the complete watermarking procedure in spatial domain is easy to perform. Firstly, the original video frames are divided into 3D-blocks. Spatial JND profile for motionless block and spatio-temporal JND profile for fast-motion block are estimated respectively. Then, an identical watermark is embedded in motionless block utilizing the spatial JND of HVS. Independent watermarks are embedded in fast-motion block by exploiting the spatio-temporal JND of HVS. Experimental results show the watermarked frames are indistinguishable from the original frames subjectively and the proposed video watermarking scheme is robust against the attacks of additive Gaussian noise, frame dropping, frame averaging, filtering and lossy compression.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Tongji University, Shanghai, 201804, China

    Dawen Xu & Jicheng Wang

  2. CKC software lab, Ningbo University, Ningbo, 315211, China

    Rangding Wang

  3. School of Electronics and Information Engineering, Ningbo University of Technology, Ningbo, 315016, China

    Dawen Xu

Authors
  1. Dawen Xu
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  2. Rangding Wang
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  3. Jicheng Wang
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Editor information

Editors and Affiliations

  1. Graduate School of Information Management & Security, CIST, Korea University, 136-701, Seoul, Korea

    Hyoung-Joong Kim

  2. Security Engineering Group, Technische Universität Darmstadt, Hochschulstr. 10, 64289, Darmstadt, Germany

    Stefan Katzenbeisser

  3. Faculty of Engineering and Physical Sciences, Department of Computing, University of Surrey, GU2 7XH, Guildford, Surrey, UK

    Anthony T. S. Ho

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© 2009 Springer-Verlag Berlin Heidelberg

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Xu, D., Wang, R., Wang, J. (2009). Video Watermarking Based on Spatio-temporal JND Profile. In: Kim, HJ., Katzenbeisser, S., Ho, A.T.S. (eds) Digital Watermarking. IWDW 2008. Lecture Notes in Computer Science, vol 5450. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04438-0_28

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  • DOI: https://doi.org/10.1007/978-3-642-04438-0_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04437-3

  • Online ISBN: 978-3-642-04438-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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