• DocumentCode
    531824
  • Title

    Comparing spatial masking modelling in just noticeable distortion controlled H.264/AVC video coding

  • Author

    Naccari, Matteo ; Pereira, Fernando

  • Author_Institution
    Inst. Super. Tecnico, Inst. de Telecomun., Lisboa, Portugal
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper studies the integration of a just noticeable distortion model in a H.264/AVC standard codec to improve the final rate-distortion performance. Three masking aspects related to lossy transform coding and natural video contents are considered: frequency band decomposition, luminance component variations and pattern masking. For the latter aspect, three alternative models are considered, namely the Foley-Boynton, Foley-Boynton adaptive and Wei-Ngan models. Their performance, measured for high definition video content, and reported in terms of bitrate improvement and objective quality loss, reveals that the Foley-Boynton and its adaptive version provide the best performance with up to 35.6 % bitrate reduction at the cost of at most 1.4 % objective quality loss.
  • Keywords
    error statistics; rate distortion theory; transform coding; video codecs; video coding; Foley-Boynton adaptive model; H.264/AVC standard codec; H.264/AVC video coding; Wei-Ngan model; bitrate improvement; bitrate reduction; frequency band decomposition; high definition video content; lossy transform coding; luminance component variation; natural video content; noticeable distortion model; pattern masking; quality loss; rate-distortion performance; spatial masking modelling; Adaptation model; Automatic voltage control; Bit rate; Computational modeling; Discrete cosine transforms; Mathematical model; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on
  • Conference_Location
    Desenzano del Garda
  • Print_ISBN
    978-1-4244-7848-4
  • Electronic_ISBN
    978-88-905328-0-1
  • Type

    conf

  • Filename
    5617676