Video segmentation using Hidden Markov Model with multimodal features

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dc.contributor.authorBae, TMko
dc.contributor.authorJin, SHko
dc.contributor.authorRo, YongManko
dc.date.accessioned2013-03-04T13:01:35Z-
dc.date.available2013-03-04T13:01:35Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2004-
dc.identifier.citationIMAGE AND VIDEO RETRIEVAL, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE, v.3115, pp.401 - 409-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10203/82718-
dc.description.abstractIn this paper, a video segmentation algorithm based on Hidden Markov Model classifier with multimodal feature is proposed. By using Hidden Markov Model classifier with both audio and visual features, erroneous shot boundary detection and over-segmentation were avoided compared with conventional algorithms. The experimental results show that the propose method is effective in shot detection.-
dc.languageEnglish-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleVideo segmentation using Hidden Markov Model with multimodal features-
dc.typeArticle-
dc.identifier.wosid000223080700044-
dc.identifier.scopusid2-s2.0-26444510258-
dc.type.rimsART-
dc.citation.volume3115-
dc.citation.beginningpage401-
dc.citation.endingpage409-
dc.citation.publicationnameIMAGE AND VIDEO RETRIEVAL, PROCEEDINGS BOOK SERIES: LECTURE NOTES IN COMPUTER SCIENCE-
dc.contributor.localauthorRo, YongMan-
dc.contributor.nonIdAuthorBae, TM-
dc.contributor.nonIdAuthorJin, SH-
dc.type.journalArticleArticle; Proceedings Paper-
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