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Low-Complexity and Sampling-Aided Multi-view Video Coding at Low Bitrate

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Advances in Multimedia Information Processing - PCM 2010 (PCM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6298))

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Abstract

In this paper, a sampling-aided multi-view video coding (MVC) scheme for low-bitrate applications is explored. With the proposed method, original views are first downsampled and reorganized into a single view. Next, the reorganized view is sent to the conventional video encoder, compressed and reconstructed. At the decoder, each decoded frame will be split into separate views and upsampled back to the original resolution. Experimental results on several high definition (HD) multi-view sequences show that, compared with the simulcast coding scheme, the proposed method presents superior rate-distortion performance at low-bitrate cases with significant complexity reduction for both encoding and decoding.

Supported by National Basic Research Program of China (973 Program, 2009CB320905).

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Author information

Authors and Affiliations

  1. Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China

    Xin Zhao & Xinfeng Zhang

  2. Graduate University of Chinese Academy of Sciences, Beijing, 100049, China

    Xin Zhao & Xinfeng Zhang

  3. Institute of Digital Media, Peking University, Beijing, 100871, China

    Li Zhang, Siwei Ma & Wen Gao

  4. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China

    Siwei Ma

Authors
  1. Xin Zhao
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  2. Xinfeng Zhang
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  3. Li Zhang
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  4. Siwei Ma
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  5. Wen Gao
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Editor information

Editors and Affiliations

  1. School of Computer Science, University of Nottingham, Jubilee Campus, NG8 1BB, Nottingham, UK

    Guoping Qiu

  2. The Centre for Multimedia Signal Processing, The Hong Kong Polytechnic University, Hong Kong, China

    Kin Man Lam

  3. Faculty of System Design, Tokyo Metropolitan University, 6-6, Asahigaoka, 191-0065, Tokyo, Hino-city

    Hitoshi Kiya

  4. Shanghai Key Laboratory of Intelligent Information Processing, Department of Computer Science & Engineering, Fudan University, Shanghai, China

    Xiang-Yang Xue

  5. Department of Electrical Engineering, University of Southern California, 90089-2564, Los Angeles, CA

    C.-C. Jay Kuo

  6. LIACS Media Lab, Leiden University,  

    Michael S. Lew

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© 2010 Springer-Verlag Berlin Heidelberg

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Zhao, X., Zhang, X., Zhang, L., Ma, S., Gao, W. (2010). Low-Complexity and Sampling-Aided Multi-view Video Coding at Low Bitrate. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15696-0_30

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  • DOI: https://doi.org/10.1007/978-3-642-15696-0_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15695-3

  • Online ISBN: 978-3-642-15696-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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