• DocumentCode
    3497777
  • Title

    AQT-DVC: Adaptive Quantization for transform-domain distributed video coding

  • Author

    Chien, Wei-Jung ; Karam, Lina J.

  • Author_Institution
    Dept. of Electr., Comput., & Energy Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    1417
  • Lastpage
    1420
  • Abstract
    This paper presents a rate-distortion based adaptive quantization (AQT) scheme for transform-domain distributed video coding (DVC). In the proposed DVC system, the Wyner-Ziv frame is divided into partitions and is adaptively quantized in the transform domain based on estimated local rate-distortion (R-D) characteristics. The R-D characteristics are estimated at the decoder using a correlation model between the original source information and the side information. Rate-distortion performance results and comparisons with existing DVC schemes and with H.264 are presented.
  • Keywords
    quantisation (signal); rate distortion theory; video coding; AQT-DVC; H.264; Wyner-Ziv frame; adaptive quantization; correlation model; rate distortion; transform-domain distributed video coding; Computational complexity; Decoding; Discrete cosine transforms; Distributed computing; Motion estimation; Power engineering and energy; Quantization; Rate-distortion; Turbo codes; Video coding; Distributed video coding; Rate distortion; Wyner-Ziv coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414621
  • Filename
    5414621