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    Generating Comprehensible Summaries of Rushes Sequences based on Robust Feature Matching

    Access Status
    Fulltext not available
    Authors
    Truong, Ba
    Venkatesh, Svetha
    Date
    2007
    Type
    Conference Paper
    
    Metadata
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    Citation
    Truong, B. and Venkatesh, S. 2007. Generating Comprehensible Summaries of Rushes Sequences based on Robust Feature Matching, in Wang, J.Z. et al (ed), Proceedings of the 9th ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR 2007), Sep 24-29 2007, pp. 30-34. Augsburg, Germany: Association for Computing Machinery (ACM).
    Source Title
    Compilation Proceedings of MM'07 & Co-Located Workshops
    Source Conference
    TVS'07 Workshop held at the ACM Mulitmedia 2007
    DOI
    10.1145/1290031.1290036
    ISBN
    9781595937025
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/15591
    Collection
    • Curtin Research Publications
    Abstract

    This paper describes our first attempt at tackling a pilot task in Trecvid: video summarization of rushes data [3]. Our method is based on the tight clustering produced via SIFT matching. In this first attempt, we try to examine how our approach performs without complex implementation in terms of concept detection and excerpt assembly (i.e, no picture-in-picture, split screen and special transitions). Although we do not perform very well in terms of concept inclusion, we rank very well in terms of the summary being easy to understand and relevancy of included segments.

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