• DocumentCode
    3409968
  • Title

    Fast motion estimation with inter-view motion vector prediction for stereo and multiview video coding

  • Author

    Ding, Li-Fu ; Tsung, Pei-Kuei ; Wei-Yin Chen ; Chien, Shao-Yi ; Chen, Wei-Yin

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ. Taipei, Taipei
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    1373
  • Lastpage
    1376
  • Abstract
    3-D video will become one of the most important video technologies in the next generation of television. Due to ultra high data bandwidth requirement for 3-D video, effective compression technology becomes an essential part in the infrastructure. Thus stereo and multiview video coding (MVC) plays a critical role. However, MVC systems require much more computational complexity relative to mono-view video coding systems. Therefore, an efficient prediction scheme is necessary for encoding. In this paper, a new fast motion estimation (ME) algorithm is proposed. By utilizing disparity estimation (DE) to find corresponding blocks between different views, the coding information such as motion vectors can be effectively shared and reused from the coded view channel. Therefore, the computation for ME in most view channels can be greatly reduced. Experimental results show that compared with the full search block matching algorithm applied to both ME and DE, the proposed algorithm saves 95% computation with near-FSBMA quality.
  • Keywords
    motion compensation; motion estimation; video coding; 3D video; block matching algorithm; computational complexity; disparity estimation; interview motion vector prediction; motion estimation algorithm; motion vectors; video coding; Automatic voltage control; Cameras; Computational complexity; Engines; Entropy coding; Layout; Motion estimation; TV; Video coding; Video compression; 3D-video; H.264/AVC; MVC; video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517874
  • Filename
    4517874