• DocumentCode
    3388475
  • Title

    Low-complexity low-delay distributed video coding

  • Author

    Gengfeng Qiu ; Shaoshuai Gao ; Guofang Tu

  • Author_Institution
    Sch. of Electron., Electr. & Commun. Eng., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2013
  • fDate
    1-3 July 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Most state-of-the-art distributed video coding schemes are based on Stanford Wyner-Ziv video coding architecture which takes advantages of efficient channel codes such as LDPC or Turbo codes. The drawbacks that prevent it from practical applications are high decoding complexity and especially latency, since it needs to decode channel codes iteratively and require feedback information many times when decoding a WZ frame. In this paper, we proposed a novel distributed video coding scheme which needs no iterative decoding and only requires feedback information once per WZ frame. It uses a block classification coding strategy combined with a residual computing method based on modular arithmetic. Our scheme replaces complex channel coding with simple entropy coding, which greatly reduce decoding complexity and latency. Experimental results show that the proposed scheme can improve the rate-distortion performance over some state-of-the-art distributed video coding schemes for low and medium motion video sequences, while reducing decoding complexity to 10%~1%.
  • Keywords
    decoding; entropy codes; video coding; WZ frame; Wyner-Ziv video coding; block classification coding strategy; channel coding replacement; decoding complexity reduction; distributed video coding; entropy coding; feedback information; latency reduction; low complexity video coding; low delay video coding; modular arithmetic; residual computing method; Complexity theory; Computer architecture; Decoding; Encoding; Parity check codes; Rate-distortion; Video coding; Distributed video coding; Wyner-Ziv video coding; block classification; differential data representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2013 18th International Conference on
  • Conference_Location
    Fira
  • ISSN
    1546-1874
  • Type

    conf

  • DOI
    10.1109/ICDSP.2013.6622739
  • Filename
    6622739