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dc.contributor.authorTruong, Ba
dc.contributor.authorVenkatesh, Svetha
dc.contributor.editorAssociation for Computing Machinery, Inc. (ACM)
dc.date.accessioned2017-01-30T11:50:43Z
dc.date.available2017-01-30T11:50:43Z
dc.date.created2014-10-28T02:23:20Z
dc.date.issued2007
dc.identifier.citationTruong, 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).
dc.identifier.urihttp://hdl.handle.net/20.500.11937/15591
dc.identifier.doi10.1145/1290031.1290036
dc.description.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.

dc.publisherAssociation for Computing Machinery, Inc. (ACM)
dc.titleGenerating Comprehensible Summaries of Rushes Sequences based on Robust Feature Matching
dc.typeConference Paper
dcterms.source.titleCompilation Proceedings of MM'07 & Co-Located Workshops
dcterms.source.seriesCompilation Proceedings of MM'07 & Co-Located Workshops
dcterms.source.isbn9781595937025
dcterms.source.conferenceTVS'07 Workshop held at the ACM Mulitmedia 2007
dcterms.source.conference-start-dateSep 24 2007
dcterms.source.conferencelocationAugsburg, Germany
dcterms.source.placeNew York, USA
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available


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