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A Novel Watermarked Multiple Description Scalar Quantization Coding Framework

  • Conference paper
Modern Advances in Applied Intelligence (IEA/AIE 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8481))

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Abstract

Watermarked Multiple Description Coding techniques belong to one branch of covert communication techniques. A novel wavelet tree vector based watermarked Multiple Description Scalar Quantization coding frame has been proposed in this paper. The wavelet orientational tree is used as the tree vectors in the coding process. And the overlap of the different orientational information is used to introduce the redundancy. Good performance in the experiments has shown its efficiency.

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Author information

Authors and Affiliations

  1. Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China

    Linlin Tang & Jeng-Shyang Pan

  2. Harbin Institute of Technology, Harbin, China

    Junbao Li

Authors
  1. Linlin Tang
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  2. Jeng-Shyang Pan
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  3. Junbao Li
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University, TX 78666, San Marcos, USA

    Moonis Ali

  2. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  3. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Shyi-Ming Chen

  4. Department of Electronics Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan (ROC)

    Mong-Fong Horng

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© 2014 Springer International Publishing Switzerland

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Tang, L., Pan, JS., Li, J. (2014). A Novel Watermarked Multiple Description Scalar Quantization Coding Framework. In: Ali, M., Pan, JS., Chen, SM., Horng, MF. (eds) Modern Advances in Applied Intelligence. IEA/AIE 2014. Lecture Notes in Computer Science(), vol 8481. Springer, Cham. https://doi.org/10.1007/978-3-319-07455-9_25

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  • DOI: https://doi.org/10.1007/978-3-319-07455-9_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07454-2

  • Online ISBN: 978-3-319-07455-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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