• DocumentCode
    3276592
  • Title

    Exploiting spatial smoothness to recover undecoded coefficients for transform domain distributed video coding

  • Author

    Ali, Mohamed ; Murshed, Manzur

  • Author_Institution
    Gippsland Sch. of Inf. Technol., Monash Univ., Churchill, VIC, Australia
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    1782
  • Lastpage
    1786
  • Abstract
    In a transform domain distributed video coding scheme, the correlation between the current encoding unit, e.g. block and slice, and the corresponding side-information is modeled using a virtual channel. This correlation model is then used for rate allocation, quantization, and Wyner-Ziv coding. Since the encoder can only have an estimate of the correlation instead of the exact knowledge of the side-information, the decoder will fail to recover the quantized transformed coefficients with a nonzero probability. In this paper, we propose to integrate a scheme at the decoder to recover the undecoded coefficients using the spatial smoothness property of individual video frames. Simulation results demonstrated that, at different decoding failure probabilities, a transformed coefficient recovery scheme can significantly improve the quality of videos in terms of both PSNR and SSIM.
  • Keywords
    data compression; probability; transform coding; video coding; Wyner-Ziv coding; failure probabilities; image quantization; nonzero probability; rate allocation; side-information; spatial smoothness; transform domain distributed video coding; video quality; virtual channel; DCT; Distributed video coding; H.264;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738367
  • Filename
    6738367