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Error and Artifact Detection in Video Decoding: A Temporal Method

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The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 246))

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Abstract

Video communication via error-prone networks suffers from visibility of data impairment. Lots of research effort has been made to investigate error concealment algorithms, which almost always assume that all errors have been detected successfully. However, this assumption is not always the fact. As widely used, syntax and semantics analysis (SSA), cannot guarantee complete error detection. Furthermore, an error detected by SSA should not be inevitably concealed unless it is a visual artifact. On the other hand, temporal concealment, using motion vector recovery (MVR) and copying, has been recognized simple and effective. This paper proposes an MVR based error and artifact detection (EAD) algorithm, abbreviated by MVR-EAD, which compares a risk area with its temporal counterpart in the reference frame and decides if an artifact occurs. MVR-EAD gains attractive detection accuracy, an increase from 7.8 to 73.87 % demonstrated by extensive experiments. Accordingly, this incurs 0.09 to 1.88 dB in PSNR improvement with the error concealment strategy embedded within JM18.0.

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Author information

Authors and Affiliations

  1. Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China

    Daqing Zhang, Shenghong Li, Kongjin Yang & Yuchun Jing

Authors
  1. Daqing Zhang
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  2. Shenghong Li
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  3. Kongjin Yang
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  4. Yuchun Jing
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Corresponding author

Correspondence to Daqing Zhang .

Editor information

Editors and Affiliations

  1. College of Physical and Electronic Infor, Tianjin Normal University, Tianjin, People's Republic of China

    Baoju Zhang

  2. College of Physical and Electronic Infor, Tianjin Normal University, Tianjin, People's Republic of China

    Jiasong Mu

  3. College of Physical and Electronic Infor, Tianjin Normal University, Tianjin, People's Republic of China

    Wei Wang

  4. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  5. School of electronic engineering, University of Electronic Science and Tec, Chengdu, People's Republic of China

    Yiming Pi

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© 2014 Springer International Publishing Switzerland

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Zhang, D., Li, S., Yang, K., Jing, Y. (2014). Error and Artifact Detection in Video Decoding: A Temporal Method. In: Zhang, B., Mu, J., Wang, W., Liang, Q., Pi, Y. (eds) The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-319-00536-2_24

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  • DOI: https://doi.org/10.1007/978-3-319-00536-2_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-00535-5

  • Online ISBN: 978-3-319-00536-2

  • eBook Packages: EngineeringEngineering (R0)

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