• DocumentCode
    2596229
  • Title

    AN improved approach to side information extraction in distributed video coding

  • Author

    Xiaoxing, Zhang ; Jiwei, Liu ; Ying, Zhang

  • Author_Institution
    Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2009
  • fDate
    18-20 Oct. 2009
  • Firstpage
    540
  • Lastpage
    544
  • Abstract
    In the distributed video coding, side information is involved not only in the decoding of the quantized source, but also in the reconstruction of the images. So the quality of side information takes an important role in the distributed video codec. In this paper, a refined approach to SI extraction is proposed. Based on the high correlation between the motion vectors of adjacent blocks, the motion vector of each block is estimated considering the predicted motion vector of the neighboring blocks as initial M V. Besides, extrapolation beyond boundary is applied in the unrestricted motion vectors estimation for the case that there is an object moving in and out of the picture or a camera lens shaking. The performance of the proposed approach is evaluated in the context of Wyner-Ziv video coding, and compared with existing methods. The results verify the effectiveness of the proposed approach.
  • Keywords
    extrapolation; feature extraction; image reconstruction; motion estimation; vectors; video codecs; video coding; Wyner-Ziv video coding; codec; distributed video coding; extrapolation; motion vector estimation; side information extraction; Cameras; Codecs; Data mining; Decoding; Image reconstruction; Lenses; Motion estimation; Parity check codes; Rate-distortion; Video coding; Distributed video coding; frame interpolation; side information extraction; unrestricted motion vector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband Network & Multimedia Technology, 2009. IC-BNMT '09. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4590-5
  • Electronic_ISBN
    978-1-4244-4591-2
  • Type

    conf

  • DOI
    10.1109/ICBNMT.2009.5347859
  • Filename
    5347859