• DocumentCode
    65566
  • Title

    A Compact Representation for Compressing Converted Stereo Videos

  • Author

    Zhebin Zhang ; Chen Zhou ; Ronggang Wang ; Yizhou Wang ; Wen Gao

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Nat. Eng. Lab. for Video Technol., Beijing, China
  • Volume
    23
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    2343
  • Lastpage
    2355
  • Abstract
    We propose a novel representation for stereo videos namely 2D-plus-depth-cue. This representation is able to encode stereo videos compactly by leveraging the by-product of a stereo video conversion process. Specifically, the depth cues are derived from an interactive labeling process during 2D-to-stereo video conversion-they are contour points of image regions and their corresponding depth models, and so forth. Using such cues and the image features of 2D video frames, the scene depth can be reliably recovered. Experimental results demonstrate that the bit rate can be saved about 10%-50% in coding a stereo video compared with multiview video coding and the 2D-plus-depth methods. In addition, since the objects are segmented in the conversion process, it is convenient to adopt the region-of-interest (ROI) coding in the proposed stereo video coding system. Experimental results show that using ROI coding, the bit rate is reduced by 30%-40% or the video quality is increased by 1.5-4 dB with the fixed bit rate.
  • Keywords
    data compression; error statistics; image representation; stereo image processing; video coding; 2D video frames; 2D-plus-depth-cue; 2D-to-stereo video conversion; ROI coding; contour points; depth models; fixed bit rate; image regions; interactive labeling process; multiview video coding; region-of-interest coding; stereo video compression; video quality; video representation; Computational modeling; Encoding; Image coding; Solid modeling; Stereo vision; Video coding; Videos; Stereo video representation; depth cue; stereo video coding;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2014.2315958
  • Filename
    6783779