• DocumentCode
    249858
  • Title

    On prediction techniques for palette coding

  • Author

    Guoxin Jin ; Saxena, Ankur ; Fernandes, F.

  • Author_Institution
    Samsung Inf. Syst. America, Richardson, TX, USA
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    5566
  • Lastpage
    5570
  • Abstract
    Screen content video coding is becoming increasingly important in various applications, such as desktop sharing, video conferencing, and remote education. In January 2014, the ITU-T and ISO/IEC MPEG jointly issued call for proposals for screen content coding as an extension of HEVC. In general, compared to natural camera-captured video content, screen content has different characteristics, e.g., sharper edges, and fewer unique colors on a block-by-block basis. Palette coding for screen content has been recently proposed in the ongoing HEVC Range Extensions standardization. Palette coding utilizes the fact that there are few unique colors in screen content video blocks, and tries to send palettes of these unique colors. However, the size of these palettes can expand, especially in highresolution video. Therefore, to reduce the overall bits for palette transmission, we present various palette prediction techniques in this paper. We first analyze the characteristics of palettes in screen content, and then propose various palette prediction techniques. Our experiments on HEVC test sequences in state-of-the-art HM range extensions software for HEVC show significant improvements over palette coding without any prediction, at almost negligible additional complexity.
  • Keywords
    cameras; image capture; image colour analysis; image resolution; prediction theory; video coding; AD 2014 01; HEVC range extensions standardization; HEVC test sequences; HM range extensions software; ISO-IEC MPEG; ITU-T; desktop sharing; natural camera-captured video content; palette coding; palette prediction techniques; palette transmission; remote education; screen content coding; screen content video blocks; screen content video coding; video conferencing; Artificial intelligence; Color; Encoding; Programming; Standardization; Vectors; Video sequences; HEVC; Palette Coding; Range Extensions; palette prediction; screen content coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7026126
  • Filename
    7026126