• DocumentCode
    3277093
  • Title

    Locally linear embedding methods for inter image coding

  • Author

    Alain, Martin ; Cherigui, Safa ; Guillemot, Christine ; Thoreau, Dominique ; Guillotel, Philippe

  • Author_Institution
    INRIA, Rennes, France
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    1904
  • Lastpage
    1908
  • Abstract
    Image prediction methods based on data dimensionality reduction techniques have been recently introduced for still images. These techniques have been proven efficient, especially when used in a H.264 framework. This paper introduces a natural extension of this work from spatial prediction to temporal prediction. Locally Linear Embedding and Optimized Map-Aided Locally Linear Embedding methods are adapted within H.264 in order to improve inter image prediction. The resulting prediction methods are compared with the H.264 motion estimation/compensation method, template matching methods and Adaptive Interpolation Filters, and are shown to bring significant Rate-Distortion performance improvements (up to 20.21 % rate saving with respect to H.264).
  • Keywords
    adaptive filters; data compression; data reduction; image coding; image matching; motion compensation; motion estimation; H.264 framework; H.264 motion estimation method; adaptive interpolation filters; data dimensionality reduction techniques; inter image coding; inter image prediction methods; motion compensation method; optimized map-aided locally linear embedding methods; rate-distortion performance; spatial prediction; still images; template matching methods; temporal prediction; H.264; Motion estimation/compensation; adaptive filters; locally linear embedding; template matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738392
  • Filename
    6738392