• DocumentCode
    2257502
  • Title

    On-line lossless mocap data compression

  • Author

    Kuo, May-chen ; Chiang, Pei-Ying ; Lee, Jessy ; Kuo, C. C Jay

  • Author_Institution
    Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2009
  • fDate
    24-27 May 2009
  • Firstpage
    1457
  • Lastpage
    1460
  • Abstract
    We investigate efficient on-line lossless coding of motion capture (mocap) data in this work. The mocap data consist of a set of curves as the temporal trajectory of variables known as the degrees of freedom (dofs). To achieve compression, we sample each dof´s curve temporally, interpolate the curve by a piece-wise Hermite spline as the prediction, and encode residuals with DPCM and Huffman coding. We compare the fixed-interval and the adaptive-interval sampling methods. Both schemes can achieve an averaged bit rate saving of around 80% (or, equivalently, a compression ratio of 20%) with real-time encoding/decoding.
  • Keywords
    Huffman codes; curve fitting; data compression; interpolation; sampling methods; adaptive-interval sampling methods; fixed-interval sampling methods; motion capture data coding; motion capture data compression; online lossless coding; online lossless data compression; piece-wise Hermite spline; Animation; Data compression; Humans; Image coding; Joints; Network synthesis; Principal component analysis; Sampling methods; Skeleton; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-3827-3
  • Electronic_ISBN
    978-1-4244-3828-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.2009.5118041
  • Filename
    5118041