• DocumentCode
    593196
  • Title

    Motion estimation of depth map based on perceptual attention region

  • Author

    Pei-Jun Lee ; Chun-Yuan Cheng

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chi Nan Univ., Nantou, Taiwan
  • fYear
    2012
  • fDate
    14-16 Aug. 2012
  • Firstpage
    206
  • Lastpage
    209
  • Abstract
    This paper proposes a new solution to improve the coding efficiency of depth map in 2D plus depth map of 3D video coding. The proposed algorithm is achieved to reduce coding time on using H.264 encoding for both color image and depth map and to enhance the encoding quality for 2D MV sharing to depth encoding. The method uses 3D perceptual attention regions to determine re-motion estimation MBs in depth map. Moreover, to reduce the coding time for the remotion estimation, the proposed algorithm achives a fast mode decision MBs by motion activity to select coding mode. Experimental results show that the entire encoding time is reduced by about 41.09% compared with the exhaustive full mode decision approach, and the SSIM is increased by about 0.0764 and the PSNR is increased by about 6.7685dB compared with the MV sharing approach.
  • Keywords
    decision making; image colour analysis; motion estimation; video coding; 2D MV sharing; 2D plus depth map; 3D perceptual attention regions; 3D video coding; H.264 encoding; MV sharing approach; SSIM; coding time reduction; depth map coding efficiency; depth map motion estimation; full mode decision approach; motion activity; remotion estimation MB; Color; Encoding; Image coding; Motion estimation; PSNR; Streaming media; Video coding; 3D perceptual attension region; Color plus depth map 3D video; MV sharing; motion activity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Security and Intelligence Control (ISIC), 2012 International Conference on
  • Conference_Location
    Yunlin
  • Print_ISBN
    978-1-4673-2587-5
  • Type

    conf

  • DOI
    10.1109/ISIC.2012.6449742
  • Filename
    6449742