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International Conference on Industrial Networks and Intelligent Systems

INISCOM 2016: Industrial Networks and Intelligent Systems pp 111–121Cite as

Adaptive Down-Sampling and Super-Resolution for Additional Video Compression

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Abstract

While almost all down-sampling based video codecs gain additional compression at the expense of image degradation, we set a good example of achieving both large compression and even better reconstruction quality. Such progress is realized by: (i) minimizing the introduction of information loss with a proposed decomposition-based adaptive down-sampling method so that more reserved pixels can be allocated to image details where human visual perception is more sensitive. Specifically, a modified content complexity measurement is put forward and the optimum down-sampling rate is adaptively selected with a customized formula; (ii) maximizing the information compensation via a content-adaptive super-resolution algorithm, which is accelerated and optimized by two stages of pruning to select the closest correlated dictionary pairs. Extensive experiments support that, by using prevailing H.264 codec as benchmark, the proposed scheme achieves 5 times more of additional compression and the reconstruction quality outperforms other state-of-the-art approaches, and even better than decoded non-shrunken frames in human visual perception.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Tianjin University, Tianjin, China

    Bin Zhao

  2. Research Institute of Future Media Computing, Shenzhen University, Shenzhen, China

    Jianmin Jiang

Authors
  1. Bin Zhao
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  2. Jianmin Jiang
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Correspondence to Jianmin Jiang .

Editor information

Editors and Affiliations

  1. School of Computer Science Informatics, De Montfort University, Leicester, United Kingdom

    Leandros A. Maglaras

  2. Faculty of Technology, De Montfort University, Leicester, United Kingdom

    Helge Janicke

  3. Airbus Group, Cardiff, United Kingdom

    Kevin Jones

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhao, B., Jiang, J. (2017). Adaptive Down-Sampling and Super-Resolution for Additional Video Compression. In: Maglaras, L., Janicke, H., Jones, K. (eds) Industrial Networks and Intelligent Systems. INISCOM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 188. Springer, Cham. https://doi.org/10.1007/978-3-319-52569-3_10

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  • DOI: https://doi.org/10.1007/978-3-319-52569-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52568-6

  • Online ISBN: 978-3-319-52569-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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