• DocumentCode
    2827067
  • Title

    Adaptive rounding operator for efficient Wyner-Ziv video coding

  • Author

    Micallef, Jeffrey J. ; Farrugia, Reuben A. ; Debono, Carl J.

  • Author_Institution
    Dept. of Commun. & Comput. Eng., Univ. of Malta, Msida, Malta
  • fYear
    2013
  • fDate
    17-20 Nov. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The Distributed Video Coding (DVC) paradigm can theoretically reach the same coding efficiencies of predictive block-based video coding schemes, like H.264/AVC. However, current DVC architectures are still far from this ideal performance. This is mainly attributed to inaccuracies in the Side Information (SI) predicted at the decoder. The work in this paper presents a coding scheme which tries to avoid mismatch in the SI predictions caused by small variations in light intensity. Using the appropriate rounding operator for every coefficient, the proposed method significantly reduces the correlation noise between the Wyner-Ziv (WZ) frame and the corresponding SI, achieving higher coding efficiencies. Experimental results demonstrate that the average Peak Signal-to-Noise Ratio (PSNR) is improved by up to 0.56dB relative to the DISCOVER codec.
  • Keywords
    correlation methods; video codecs; video coding; DISCOVER codec; DVC; H.264-AVC; Wyner-Ziv frame; Wyner-Ziv video coding; adaptive rounding operator; correlation noise; distributed video coding; predictive block; side information; Correlation; Decoding; Encoding; Floors; Quantization (signal); Silicon; Video coding; Adaptive quantization; Wyner-Ziv coding; correlation noise; distributed video coding; source representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2013
  • Conference_Location
    Kuching
  • Print_ISBN
    978-1-4799-0288-0
  • Type

    conf

  • DOI
    10.1109/VCIP.2013.6706368
  • Filename
    6706368