Edge-preserving Intra mode for efficient depth map coding based on H.264/AVC

Marco Zamarin, Søren Forchhammer

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Depth-image-based-rendering (DIBR) algorithms for 3D video communication systems based on the “multi-view video plus depth” format are very sensitive to the accuracy of depth information. Specifically, edge regions in the depth data should be preserved in the coding/decoding process to ensure good view synthesis performance, which directly affects the overall system performance. This paper proposes a novel scheme for edge-aware Intra depth compression based on the H.264/AVC framework enabled on both Intra (I) and Inter (P) slices. The proposed scheme includes a new Intra mode specifically targeted to depth macroblocks with arbitrarily shaped edges, which are typically not predicted well by the standard Intra modes of H.264/AVC and result in high rate–distortion costs. The proposed algorithm segments edge macroblocks into two regions each approximated by a flat surface. A binary mask identifying the two regions is defined and encoded by means of context-coding with adaptive template selection. As a novel contribution, the proposed mode allows exploiting the correlation with causal neighboring edge macroblocks to improve the performance of context-coding of binary masks and allow significant bit rate savings. The proposed method has been exhaustively compared with different state-of-the-art algorithms for edge-aware depth coding and the results highlight significant improvements in most of the cases, both in terms of reconstructed depth quality, view synthesis performance, and overall texture plus depth rate–distortion performance.
    Original languageEnglish
    JournalSignal Processing: Image Communication
    Volume29
    Issue number7
    Pages (from-to)711-724
    ISSN0923-5965
    DOIs
    Publication statusPublished - 2014

    Keywords

    • Multi-view plus depth video coding
    • Edge-aware depth map coding
    • Context based coding
    • Depth-image-based rendering
    • H.264/AVC

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