• DocumentCode
    1011532
  • Title

    Efficient Low-Cost Sharing Design of Fast 1-D Inverse Integer Transform Algorithms for H.264/AVC and VC-1

  • Author

    Fan, Chih-Peng ; Su, Guo-An

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung Hsing Univ., Taichung
  • Volume
    15
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    926
  • Lastpage
    929
  • Abstract
    In this letter, the fast one-dimensional (1-D) algorithms and their sharing design for 1-D inverse integer transforms of H.264/AVC and VC-1 are proposed by using the matrix decompositions with the sparse matrices and the matrix offset computations. The computational complexities of the proposed fast 1-D 4 times 4 and 8 times 8 inverse integer transforms for H.264/AVC are the same as those of the previous fast methods. Then the shift operations of the proposed fast 1-D inverse integer transform for VC-1 are equivalent to those of the previous fast method. For playback environments, the video decoder can support the multiple modes, which include H.264/AVC and VC-1 video standards. The proposed hardware sharing architecture requires lower hardware cost than the individual and separate design for the VLSI realization.
  • Keywords
    inverse problems; matrix decomposition; video coding; H.264/AVC; VLSI realization; computational complexities; fast 1D inverse integer transform algorithms; hardware sharing architecture; low-cost sharing design; matrix decompositions; matrix offset computations; sparse matrices; video decoder; Algorithm design and analysis; Automatic voltage control; Computational complexity; Costs; Decoding; Hardware; Matrix decomposition; Sparse matrices; Very large scale integration; Video sharing; 4 $, times, $4 inverse integer transform; 8$, times, $ 8 inverse integer transform; H.264/AVC; VC-1; hardware share; low cost;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2008.2005048
  • Filename
    4691058