• DocumentCode
    579374
  • Title

    On Low Power Fractional Motion Estimation Algorithms for H.264

  • Author

    Ogunfunmi, Tokunbo ; Ndili, O. ; Arnaudov, P.

  • Author_Institution
    Dept. of Electr. Eng., Santa Clara Univ., Santa Clara, CA, USA
  • fYear
    2012
  • fDate
    17-19 Oct. 2012
  • Firstpage
    103
  • Lastpage
    108
  • Abstract
    Motion estimation in H.264/AVC, is done in two parts - integer-pel motion estimation, and fractional-pel motion estimation. In the past, we have proposed new algorithms and architectures for integer-pel motion estimation. In this paper, we propose an efficient, low power algorithm and its co-designed VLSI architecture for fractional-pel motion estimation in H.264/AVC. We use a simplified FIR filter for half-pel interpolation. Usage of this filter reduces the required number of computations and the memory size and bandwidth for half-pel interpolation. Simulations are used to compare our algorithm with the state-of-the-art, in terms of rate-distortion performance and computational complexity. Our results show that our algorithm on average has better rate-distortion performance, compared to previous state-of-the-art fractional-pel ME algorithms, while its performance is comparable to fractional-pel ME in H.264/AVC.
  • Keywords
    FIR filters; VLSI; computational complexity; field programmable gate arrays; interpolation; low-power electronics; motion estimation; rate distortion theory; video coding; FIR filter; FPGA; H.264/AVC; codesigned VLSI architecture; computational complexity; fractional-pel ME algorithm; fractional-pel motion estimation; half-pel interpolation; integer-pel motion estimation; low power fractional motion estimation algorithm; memory size; rate-distortion performance; Algorithm design and analysis; Computer architecture; Finite impulse response filter; Interpolation; Motion estimation; Signal processing algorithms; Video coding; FPGA; H.264; Motion Estimation; Video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (SiPS), 2012 IEEE Workshop on
  • Conference_Location
    Quebec City, QC
  • ISSN
    2162-3562
  • Print_ISBN
    978-1-4673-2986-6
  • Type

    conf

  • DOI
    10.1109/SiPS.2012.64
  • Filename
    6365522