• DocumentCode
    557639
  • Title

    Fast inter-view prediction and mode selection for multiview video coding

  • Author

    Zhu, Wei ; Chen, Peng ; Zheng, Yayu ; Feng, Jie

  • Author_Institution
    Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hang Zhou, China
  • Volume
    1
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    151
  • Lastpage
    156
  • Abstract
    Multiview video coding (MVC) compresses the multiview video for efficiency storage and transmission, and it has been standardized as a recent extension of the H.264/AVC. In this paper, a fast inter-view prediction and mode selection algorithm is proposed to reduce the heavy computational complexity of MVC. First, partition activity of Inter modes is calculated by using the optimal Intra mode. Then, inter-view prediction is determined by employing the partition activity and the textural complexity of depth. Finally, Inter modes are selected by utilizing the partition activity and the textural complexity of pixels. As compared to the full mode decision, experimental results show that the proposed algorithm achieves 68% time saving on average with negligible loss of rate-distortion performance. As compared to the state-of-the-art fast algorithm, the proposed algorithm obtains higher and more stable time saving over a wide range of quantization parameters for different test sequences.
  • Keywords
    computational complexity; data compression; video coding; H.264-AVC; computational complexity; depth textural complexity; intermodes partition activity; interview prediction; mode selection algorithm; multiview video coding; multiview video compression; optimal intra mode; Complexity theory; Educational institutions; Encoding; Estimation; Partitioning algorithms; Prediction algorithms; Video coding; depth; inter-view prediction; mode decision; multiview video coding; textural complexity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100006
  • Filename
    6100006