• DocumentCode
    895291
  • Title

    A Fast Mode Decision Algorithm and Its VLSI Design for H.264/AVC Intra-Prediction

  • Author

    Wang, Jia-Ching ; Wang, Jhing-Fa ; Yang, Jar-Ferr ; Chen, Jang-Ting

  • Author_Institution
    Nat. Cheng Kung Unvi., Tainan
  • Volume
    17
  • Issue
    10
  • fYear
    2007
  • Firstpage
    1414
  • Lastpage
    1422
  • Abstract
    In this paper, we present a fast mode decision algorithm and design its VLSI architecture for H.264 intra-prediction. A regular spatial domain filtering technique is proposed to compute the dominant edge strength (DES) to reduce the possible predictive modes. Experimental results revealed that the proposed fast intra-algorithm reduces 40% computation with slight peak signal-to-noise ratio (PSNR) degradation. The designed DES VLSI engine comprises a zigzag converter, a DES finite-state machine (FSM), and a DES core. The former two units handle memory allocation and control flow while the last performs pseudoblock computation, edge filtering, and dominant edge strength extraction. With semicustom design fabricated by 0.18 mum CMOS single-poly-six-metal technology, the realized die size is roughly 0.15 times 0.15 mm2 and can be operated at 66 MHz.
  • Keywords
    CMOS digital integrated circuits; feature extraction; filtering theory; video coding; CMOS single-poly-six-metal technology; H.264/AVC intra-prediction; PSNR; VLSI design; dominant edge strength; dominant edge strength extraction; edge filtering; fast mode decision algorithm; finite-state machine; memory allocation; pseudoblock computation; signal-to-noise ratio; size 0.18 mum; spatial domain filtering technique; Algorithm design and analysis; Automatic voltage control; CMOS technology; Computer architecture; Degradation; Filtering; IEC standards; PSNR; Very large scale integration; Video coding; Advanced video coding (AVC); H264; dominant edge extraction; intra-mode decision; intra-prediction;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2007.903786
  • Filename
    4335637