• DocumentCode
    3513146
  • Title

    Model-based early termination scheme for H.264/AVC inter prediction

  • Author

    Chen, Lien-Fei ; Yang, Shin-Ping ; Lai, Yeong-Kang

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    597
  • Lastpage
    600
  • Abstract
    Inter prediction is the most power-consumed component in H.264/AVC encoder. For the power-aware design, it is necessary to reduce the power consumption by using fast inter prediction techniques. In this paper, a system-level power-aware algorithm based on the early termination scheme of H.264/AVC inter prediction is proposed. The proposed early termination scheme for H.264 motion estimation is based on the statistical modeling of the motion compensated residual data. We develop a power-aware adaptive mechanism with multiple thresholds derived from the statistical model to early terminate the motion estimation (ME). According to the experimental results, our early termination scheme for H.264/AVC inter prediction not only preserves fine RD performance but also eliminates the unnecessary operation in both IME stage and FME stage to realize the power-aware H.264 encoder system.
  • Keywords
    motion estimation; statistical analysis; video coding; H.264/AVC encoder; H.264/AVC inter prediction; model-based early termination scheme; motion estimation; power-aware adaptive mechanism; statistical modeling; system-level power-aware algorithm; Automatic voltage control; Computer architecture; Containers; Energy consumption; Engines; Motion estimation; Power system modeling; Predictive models; Very large scale integration; Video sequences; Early Termination; H.264/AVC; Motion Estimation; Skip Mode; VLSI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959654
  • Filename
    4959654