• DocumentCode
    1554261
  • Title

    Depth map compression and depth-aided view rendering for a three-dimensional video system

  • Author

    Shao, F. ; Yu, Min-Chieh ; Jiang, G. ; Li, Fan ; Peng, Zongren

  • Author_Institution
    Fac. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China
  • Volume
    6
  • Issue
    3
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    247
  • Lastpage
    254
  • Abstract
    Three-dimensional (3D) video technologies are becoming increasingly popular, as they can provide high quality and immersive experience to end users, where depth maps are employed to generate the virtual views by depth-image-based rendering technique. However, how to reduce the compression and rendering complexities for depth maps while maintaining high rendering quality is still unresolved. In this study, a novel depth map compression and depth-aided view rendering method is proposed. In the proposed method, depth maps are represented with different layers and compressed with different macroblock-mode decision procedure, and several optimisation techniques, including spatio-temporal consistent warping, colour correction and temporal consistent hole filling are embedded into the view rendering framework. Experimental results show that compared with the traditional method, the proposed method can reduce more than 79% compression computational complexity and more than 45% rendering computational complexity, while maintaining high rendering quality.
  • Keywords
    computational complexity; data compression; rendering (computer graphics); video coding; colour correction; compression complexities; compression computational complexity; depth map compression; depth-aided view rendering; depth-image-based rendering technique; macroblock-mode decision procedure; optimisation techniques; rendering complexities; rendering computational complexity; rendering quality; spatio-temporal consistent warping; temporal consistent hole filling; three-dimensional video system; three-dimensional video technologies;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr.2011.0062
  • Filename
    6235125