• DocumentCode
    249061
  • Title

    Sample-based Weighted Prediction for lossless enhancement layer coding in SHVC

  • Author

    Heindel, A. ; Wige, E. ; Kaur, A.

  • Author_Institution
    Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    3656
  • Lastpage
    3660
  • Abstract
    Many professional applications require video content to be compressed in a lossless manner. However, often it is also advantageous to have access to a lossy coded version of the same video content, for example for preview purposes. In this paper the Sample-based Weighted Prediction (SWP) algorithm is applied for two-layer lossy to lossless scalable video compression with SHVC. This means that lossy compression is used for the first layer, the so-called base layer, and lossless compression is used for the second layer, also referred to as enhancement layer. In order to increase the coding efficiency of the enhancement layer the SWP algorithm is used for sample-wise prediction. Depending on the quantization parameter for the base layer, significant bitrate savings considering both layers of up to 8.38% (up to 6.20% on average) compared to the unmodified SHVC reference software can be achieved.
  • Keywords
    image enhancement; video coding; SHVC; SWP algorithm; lossless enhancement layer coding; lossless scalable video compression; quantization parameter; sample based weighted prediction; video content; Artificial intelligence; Bit rate; Encoding; ISO; Image coding; Prediction algorithms; Software; Lossless coding; SHVC; sample-based prediction; scalable coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025742
  • Filename
    7025742