• DocumentCode
    3327166
  • Title

    A fast inter-component depth modeling technique for 3D high effiency video coding

  • Author

    Ricci, Kurt ; Debono, Carl J.

  • Author_Institution
    Dept. of Commun. & Comput. Eng., Univ. of Malta, Msida, Malta
  • fYear
    2015
  • fDate
    8-10 July 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Depth maps are made up of sharp edges and near homogenous areas. To better represent object edges in depth videos, the three-dimensional (3D) extension of the High Efficiency Video Coding (HEVC) standard allows the use of additional Depth Modeling Modes (DMM) to the existing intra-prediction modes. One of these modes, Mode 3, performs distortion calculations on a set of pre-defined Wedgelet lists and signals the index of the Wedgelet that presents the least distortion. This paper proposes a fast and less complex Mode 3 depth-modeling scheme for the 3DHEVC encoder, where the set of Wedgelets is reduced to just six. This is achieved by acquiring four high-intensity changing points from the reference block. A 4.7% and 1.7% reduction in encoding runtime is achieved when testing this method with the hierarchical and all intra-prediction structures, respectively. In both cases, the resulting Peak-Signal-to-Noise Ratio (PSNR) values are maintained.
  • Keywords
    edge detection; image representation; prediction theory; video coding; 3D HEVC encoder; DMM; HEVC standard three-dimensional extension; PSNR; depth map; depth modeling mode; fast intercomponent depth modeling technique; high efficiency video coding standard 3D extension; intraprediction mode; object edge representation; peak signal-to-noise ratio; Decoding; Distortion; Encoding; Software; Standards; Three-dimensional displays; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2015
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/3DTV.2015.7169353
  • Filename
    7169353