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A semantic multimedia analysis approach utilizing a Region Thesaurus and LSA

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dc.contributor.author Spyrou, E en
dc.contributor.author Tolias, G en
dc.contributor.author Mylonas, P en
dc.contributor.author Avrithis, Y en
dc.date.accessioned 2014-03-01T02:45:04Z
dc.date.available 2014-03-01T02:45:04Z
dc.date.issued 2008 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32128
dc.subject Cluster Algorithm en
dc.subject Feature Detection en
dc.subject Latent Semantic Analysis en
dc.subject.other Key frames en
dc.subject.other Latent Semantic Analysis en
dc.subject.other Multimedia interactive services en
dc.subject.other Clustering algorithms en
dc.subject.other Image analysis en
dc.subject.other Information theory en
dc.subject.other Motion Picture Experts Group standards en
dc.subject.other Semantics en
dc.subject.other Thesauri en
dc.subject.other Multimedia services en
dc.title A semantic multimedia analysis approach utilizing a Region Thesaurus and LSA en
heal.type conferenceItem en
heal.identifier.primary 10.1109/WIAMIS.2008.49 en
heal.identifier.secondary http://dx.doi.org/10.1109/WIAMIS.2008.49 en
heal.identifier.secondary 4556869 en
heal.publicationDate 2008 en
heal.abstract This paper presents an approach on high-level feature detection within video documents, using a Region Thesaurus and Latent Semantic Analysis. A video shot is represented by a single keyframe. MPEG-7 features are extracted from coarse regions of it. A clustering algorithm is applied on all extracted regions and a region thesaurus is constructed. Its use is to assist to the mapping of low- to high-level features by a model vector representation. Latent Semantic Analysis is then applied on the model vectors to exploit the latent relations among region types aiming to improve detection performance. The proposed approach is thoroughly examined using TRECVID 2007 development data. ©2008 IEEE. en
heal.journalName WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services en
dc.identifier.doi 10.1109/WIAMIS.2008.49 en
dc.identifier.spage 8 en
dc.identifier.epage 11 en


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