Error concealment of multi-view video sequences using inter-view and intra-view correlations

Kwanwoong Song, Taeyoung Chung, Yunje Oh, Chang-Su Kim

    Research output: Contribution to journalArticlepeer-review

    44 Citations (Scopus)

    Abstract

    An efficient error concealment algorithm for multi-view video sequences is proposed in this work. First, we develop three concealment modes: temporal bilateral error concealment (TBEC), inter-view bilateral error concealment (IBEC), and multi-hypothesis error concealment (MHEC). TBEC and IBEC, respectively, exploit intra-view and inter-view correlations in multi-view video sequences to reconstruct an erroneous block. MHEC finds a few candidate blocks based on the block matching principle and combines them for the concealment. We then propose a mode selection scheme, which chooses one of the three modes adaptively to provide reliable and accurate concealment results. Simulation results demonstrate that the proposed algorithm can protect the quality of reconstructed videos effectively even in severe error conditions.

    Original languageEnglish
    Pages (from-to)281-292
    Number of pages12
    JournalJournal of Visual Communication and Image Representation
    Volume20
    Issue number4
    DOIs
    Publication statusPublished - 2009 May

    Bibliographical note

    Funding Information:
    This work was supported partly by the Korea Research Foundation Grant funded by the Korean Government (KRF-2008-331- D00420 ), partly by the Ministry of Knowledge Economy, Korea, under the Information Technology Research Center support program supervised by the Institute of Information Technology Advancement (grant number IITA-2008-C1090-0801-0017), and partly by the Samsung Electronics.

    Keywords

    • Bilateral motion estimation
    • Error concealment
    • Error propagation
    • Hierarchical B prediction
    • Mode selection
    • Multi-hypothesis prediction
    • Multi-view video
    • Robust video transmission

    ASJC Scopus subject areas

    • Signal Processing
    • Media Technology
    • Computer Vision and Pattern Recognition
    • Electrical and Electronic Engineering

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