• DocumentCode
    3157646
  • Title

    System anlaysis of power-aware H.264/AVC encoder based on fast inter prediction

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung
  • Volume
    01
  • fYear
    2008
  • fDate
    24-25 Nov. 2008
  • Abstract
    In H.264 encoder system, the power dissipation of inter prediction occupies a quite large part. For low-power and power-aware system design, efficient fast inter prediction algorithms are the significant techniques to reduce the power consumption. In this paper, a system-level power-aware algorithm based on the early termination scheme of H.264 inter prediction is proposed for the power-aware H.264 encoder. The proposed early termination scheme for H.264 motion estimation is based on the statistical analysis of the transform coefficients. Due to the theoretical model, we develop a power-aware adaptive scheme with multiple thresholds derived from the statistical model to early terminate the motion estimation (ME) operations. Moreover, the proposed inter mode pre-decision is also utilized to early determine the best inter mode at integer motion estimation (IME) stage to substantially decrease the computational cycle counts of the fractional motion estimator (FME) and carry off the motion vector predictor (MVP). According to the experimental results, our system level fast inter prediction design methodology not only preserves fine RD performance but also eliminates the unnecessary operations in both IME stage and FME stage to realize the power-aware H.264 encoder system.
  • Keywords
    motion estimation; transforms; video coding; fast interprediction algorithm; fractional motion estimator; integer motion estimation; motion vector predictor; power consumption reduction; power-aware H.264-AVC encoder; statistical analysis; transform coefficients; video coding; Automatic voltage control; Containers; Design methodology; Energy consumption; Motion estimation; Power dissipation; Power system modeling; Prediction algorithms; Statistical analysis; Very large scale integration; Early Termination; H.264/AVC; Inter Mode Decision; Motion Estimation; Skip Mode; VLSI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SoC Design Conference, 2008. ISOCC '08. International
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4244-2598-3
  • Electronic_ISBN
    978-1-4244-2599-0
  • Type

    conf

  • DOI
    10.1109/SOCDC.2008.4815616
  • Filename
    4815616