• DocumentCode
    82884
  • Title

    Nonlinear Depth Map Resampling for Depth-Enhanced 3-D Video Coding

  • Author

    Aflaki, Payman ; Hannuksela, Miska ; Rusanovskyy, Dmytro ; Gabbouj, Moncef

  • Author_Institution
    Tampere Univ. of Technol., Tampere, Finland
  • Volume
    20
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    87
  • Lastpage
    90
  • Abstract
    Depth-enhanced 3-D video coding includes coding of texture views and associated depth maps. It has been observed that coding of depth map at reduced resolution provides better rate-distortion performance on synthesized views comparing to utilization of full resolution (FR) depth maps in many coding scenarios based on the Advanced Video Coding (H.264/AVC) standard. Conventional techniques for down and upsampling do not take typical characteristics of depth maps, such as distinct edges and smooth regions within depth objects, into account. Hence, more efficient down and upsampling tools, capable of preserving edges better, are needed. In this letter, novel non-linear methods to down and upsample depth maps are presented. Bitrate comparison of synthesized views, including texture and depth map bitstreams, is presented against a conventional linear resampling algorithm. Objective results show an average bitrate reduction of 5.29% and 3.31% for the proposed down and upsampling methods with ratio ½, respectively, comparing to the anchor method. Moreover, a joint utilization of the proposed down and upsampling brings up to 20% and on average 7.35% bitrate reduction.
  • Keywords
    image enhancement; image resolution; image sampling; image texture; rate distortion theory; video coding; FR depth map; H.264-AVC standard; advanced video coding standard; average bitrate reduction; depth-enhanced 3D video coding; edge preservation; full resolution nonlinear depth map resampling; image resolution; image texture view coding; nonlinear method; rate-distortion performance; upsampling method; Bit rate; Encoding; Image coding; Joints; Signal processing algorithms; Transform coding; Video coding; Depth map; MVC; nonlinear; resampling;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2012.2228189
  • Filename
    6373714