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DC poleHodnotaJazyk
dc.contributor.authorZeng, Cheng
dc.contributor.authorLiu, Xiaozhu
dc.contributor.authorLi, Jun
dc.contributor.authorDan, Feng
dc.contributor.editorSkala, Václav
dc.date.accessioned2013-01-14T13:23:35Z-
dc.date.available2013-01-14T13:23:35Z-
dc.date.issued2008
dc.identifier.citationWSCG ’2008: Poster Proceedings: The 16-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 4-7, 2008, p. 21-24.en
dc.identifier.isbn978-80-86943-17-6
dc.identifier.urihttp://wscg.zcu.cz/wscg2008/Papers_2008/poster/!_WSCG2008_Poster_final.zip
dc.identifier.urihttp://hdl.handle.net/11025/802
dc.description.abstractThis paper presents an event semantic recognizing method based on Markov chain by stages, which takes object semantic as the bridge and is valid for recognizing complex event semantic. Semantic concept mapping mechanism based on semantic template is used to realize the automatic recognition of video semantic. In the experiment contrasting with IMAT system, our method shows more extensive recognition range and higher accuracy. Experimental results are encouraging, and indicate that the performance of the proposed approach is effective.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2008: Poster Proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectMarkovův řetězeccs
dc.subjectsémantické šablonycs
dc.subjectobjektová sémantikacs
dc.titleVideo high-level semantic recognizingen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedMarkov chainen
dc.subject.translatedsemantic templateen
dc.subject.translatedobject semanticen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG ’2008: Poster Proceedings

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