• DocumentCode
    637200
  • Title

    Depth down/up-sampling using hybrid correlation for depth coding

  • Author

    Yaoxue Xing ; Yao Zhao ; Chunyu Lin ; Huihui Bai ; Chao Yao

  • Author_Institution
    Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2013
  • fDate
    10-12 June 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, the spatial correlation and temporal consistency are jointly employed in depth down/up-sampling to achieve efficient depth coding. Given that the temporal consistency of the depth maps, a direct down-sampling method that the pixels at different positions are sampled between the adjacent frames is applied. After down-sampling, High Efficiency Video Coding (HEVC) is adopted to encode and decode the down-sampled depth maps for its good compression efficiency. Then, the proposed up-sampling algorithm which considers the spatial correlation among the neighbor pixels in one depth map and the temporal consistency between the adjacent depth frames, as well as the correlation between the depth map and its corresponding texture image is utilized to get a good quality depth map with full resolution. Experimental results show that the proposed algorithm improves both depth map coding performance and synthesized quality.
  • Keywords
    correlation methods; decoding; image resolution; image sampling; image texture; video coding; HEVC; adjacent depth frame; compression efficiency; depth down-up-sampling algorithm; direct down-sampling me- thod; down-sampled depth map coding; high efficiency video coding; hybrid spatial correlation; image resolution; image texture; temporal consistency; Conferences; Correlation; Encoding; Image coding; Image color analysis; Joints; Spatial resolution; 3-D video; Depth coding; Down/Up-sampling; HEVC; View synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IVMSP Workshop, 2013 IEEE 11th
  • Conference_Location
    Seoul
  • Type

    conf

  • DOI
    10.1109/IVMSPW.2013.6611902
  • Filename
    6611902