• DocumentCode
    1515710
  • Title

    A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter-View Correlations of Texture Images

  • Author

    Lee, Jin Young ; Wey, Ho-Cheon ; Park, Du-Sik

  • Author_Institution
    Samsung Adv. Inst. of Technol., Samsung Electron. Co., Ltd., Yongin, South Korea
  • Volume
    21
  • Issue
    12
  • fYear
    2011
  • Firstpage
    1859
  • Lastpage
    1868
  • Abstract
    Multi-view video plus depth format, which includes texture and depth images, has been recently introduced as a video representation to support depth perception of scenes and efficient view generation at arbitrary positions. Especially, a depth image has been one of the significantly important issues for successful services of 3-D video applications. In this paper, we introduce a fast and efficient multi-view depth image coding method using the texture images. The proposed method determines to skip some blocks of the depth image at the early stage without a normal encoding process including rate-distortion optimization, based on temporal and inter-view correlations between the previously encoded texture images. The skipped blocks are predicted from the neighboring depth images. Experimental results demonstrate that the proposed method not only achieves the drastically high coding performance but also reduces the complexity of the encoder.
  • Keywords
    image coding; image texture; optimisation; 3D video representation; arbitrary positions; efficient multiview depth image coding method; encoder complexity; image texture; interview correlations; normal encoding process; rate-distortion optimization; Correlation; Image coding; Image reconstruction; Image texture; Image texture analysis; Rendering (computer graphics); Inter-view correlation; multi-view depth image coding; multi-view video plus depth (MVD) format; temporal correlation;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2011.2154730
  • Filename
    5766721