Edge-preserving Intra Depth Coding based on Context-coding and H.264/AVC

Marco Zamarin, Matteo Salmistraro, Søren Forchhammer, Antonio Ortega

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    Abstract

    Depth map coding plays a crucial role in 3D Video communication systems based on the “Multi-view Video plus Depth” representation as view synthesis performance is strongly affected by the accuracy of depth information, especially at edges in the depth map image. In this paper an efficient algorithm for edge-preserving intra depth compression based on H.264/AVC is presented. The proposed method introduces a new Intra mode specifically targeted to depth macroblocks with arbitrarily shaped edges, which are typically not efficiently represented by DCT. Edge macroblocks are partitioned into two regions each approximated by a flat surface. Edge information is encoded by means of contextcoding with an adaptive template. As a novel element, the proposed method allows exploiting the edge structure of previously encoded edge macroblocks during the context-coding step to further increase compression performance. Experiments show that the proposed Intra mode can improve view synthesis performance: average Bjøntegaard bit rate savings of 25% have been reported over a standard H.264/AVC Intra coder.
    Original languageEnglish
    Title of host publication2013 IEEE International Conference on Multimedia and Expo (ICME)
    Number of pages6
    PublisherIEEE
    Publication date2013
    DOIs
    Publication statusPublished - 2013
    Event2013 IEEE International Conference on Multimedia and Expo - San Jose, United States
    Duration: 15 Jul 201319 Jul 2013
    Conference number: 14
    https://ieeexplore.ieee.org/xpl/conhome/6596168/proceeding

    Conference

    Conference2013 IEEE International Conference on Multimedia and Expo
    Number14
    Country/TerritoryUnited States
    CitySan Jose
    Period15/07/201319/07/2013
    Internet address

    Keywords

    • Block-based depth compression
    • Contextcoding
    • Edge-based depth representation
    • Video-plus-depth
    • Depth-image-based-rendering

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