Graph theoretical optimization of prediction structure in multiview video coding

Je Won Kang, Suk Hee Cho, Nam Ho Hur, Chang-Su Kim, Sang Uk Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)

    Abstract

    An algorithm to construct the optimal prediction structure in multiview video coding (MVC) is proposed in this work. We employ the graph theory as a framework. By considering each frame as a vertex and the motion compensation or disparity compensation as an edge, we represent a prediction structure as a spanning tree. Then, we obtain the optimal structure by finding the minimum spanning tree using the Prim's algorithm. Simulation results demonstrate that the proposed algorithm provides about 0.2-0.4 dB better PSNR performance than the conventional prediction structure, and about 1.5 dB better performance than the simulcast.

    Original languageEnglish
    Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
    PublisherIEEE Computer Society
    Pages429-432
    Number of pages4
    ISBN (Print)1424414377, 9781424414376
    DOIs
    Publication statusPublished - 2006
    Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
    Duration: 2007 Sept 162007 Sept 19

    Publication series

    NameProceedings - International Conference on Image Processing, ICIP
    Volume6
    ISSN (Print)1522-4880

    Other

    Other14th IEEE International Conference on Image Processing, ICIP 2007
    Country/TerritoryUnited States
    CitySan Antonio, TX
    Period07/9/1607/9/19

    Keywords

    • Graph theory
    • Minimum spanning tree
    • Multiview video coding
    • Prediction structure

    ASJC Scopus subject areas

    • General Engineering

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