• DocumentCode
    1658799
  • Title

    Tensor video coding

  • Author

    Mahfoodh, Abo Talib ; Radha, Hayder

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2013
  • Firstpage
    1724
  • Lastpage
    1728
  • Abstract
    In this paper, we exploit the intrinsic tensor-nature of video and propose a Tensor Video Coding (TVC) framework that is based on tensor decomposition. We develop a Progressive Canonical-decomposition Parallel-factor (PCP) framework that is tailored for video representation and coding. Our simulation results show that the proposed TVC approach outperforms state-of-the-art video coding methods that do not rely on motion estimation or compensation.
  • Keywords
    tensors; video coding; intrinsic tensor-nature; motion compensation; motion estimation; progressive canonical-decomposition parallel-factor framework; tensor decomposition; tensor video coding; video representation; Abstracts; Encoding; Erbium; IEC standards; Tensile stress; Three-dimensional displays; Video coding; CP Tensor Decomposition; Rank-one Tensors; Tensor Decomposition; Video Coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637947
  • Filename
    6637947