• DocumentCode
    2457968
  • Title

    Low Complexity Scalable Video Coding

  • Author

    An, Cheolhong ; Nguyen, Truong Q.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., UCSD, La Jolla, CA
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    1086
  • Lastpage
    1089
  • Abstract
    In this paper, we consider scalable video coding (SVC) which has higher complexity than H.264/AVC since it has spatial, temporal and quality scalability in addition to H.264/AVC functionality. Furthermore, inter-layer prediction and layered coding for spatial scalability make motion estimation and mode decision more complex. Therefore, we propose low complexity SVC schemes by using current developing SVC standard. It is archived by prediction method such as skip, direct, inter-layer MV prediction with fast mode and motion vector (MV) estimation at enhancement layer. In order to increase the performance of inter-layer MV prediction, combined MV interpolation is applied with adjustment of prediction direction. Additionally, fast mode and MV estimation are proposed from structural properties of motion-compensated temporal filtering (MCTF) to elaborate predicted macro block (MB) mode and MV. From the experimental results, proposed method has comparable performance to reference software model with significant lower complexity.
  • Keywords
    computational complexity; filtering theory; interpolation; motion compensation; motion estimation; prediction theory; video coding; H.264-AVC; inter-layer motion vector prediction; inter-layer prediction coding; layered coding; low complexity scalable video coding; macro block mode decision; motion vector estimation; motion vector interpolation; motion-compensated temporal filtering; spatial scalability; Automatic voltage control; Filtering; Interpolation; Motion estimation; Prediction methods; Scalability; Software performance; Standards development; Static VAr compensators; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0784-2
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2006.354920
  • Filename
    4176730