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Semantic association of multimedia document descriptions through fuzzy relational algebra and fuzzy reasoning

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dc.contributor.author Akrivas, G en
dc.contributor.author Stamou, GB en
dc.contributor.author Kollias, S en
dc.date.accessioned 2014-03-01T01:21:22Z
dc.date.available 2014-03-01T01:21:22Z
dc.date.issued 2004 en
dc.identifier.issn 1083-4427 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/16213
dc.subject Fuzzy relations en
dc.subject Human-computer interaction en
dc.subject Information retrieval en
dc.subject Multimedia databases en
dc.subject.classification Computer Science, Cybernetics en
dc.subject.classification Computer Science, Theory & Methods en
dc.subject.other Algebra en
dc.subject.other Data structures en
dc.subject.other Database systems en
dc.subject.other Fuzzy sets en
dc.subject.other Human computer interaction en
dc.subject.other Image compression en
dc.subject.other Information retrieval en
dc.subject.other Semantics en
dc.subject.other Fuzzy reasoning en
dc.subject.other Fuzzy relational algebra en
dc.subject.other Moving Picture Experts Group en
dc.subject.other Multimedia document description en
dc.subject.other Multimedia systems en
dc.title Semantic association of multimedia document descriptions through fuzzy relational algebra and fuzzy reasoning en
heal.type journalArticle en
heal.identifier.primary 10.1109/TSMCA.2003.819498 en
heal.identifier.secondary http://dx.doi.org/10.1109/TSMCA.2003.819498 en
heal.language English en
heal.publicationDate 2004 en
heal.abstract According to the emerging MPEG-7 standard, the semantic description of multimedia documents is expressed in terms of semantic entities such as objects, events, concepts, and relations among them. The semantic entities can be used as index terms, in order to support the semantic search process. In this paper, we propose a method that a) applies fuzzy relational operations (closure, composition) and fuzzy rules to expand a semantic encyclopedia and b) uses the encyclopedia to associate the semantic entities with the aid of a fuzzy thesaurus. This method is shown to reduce the need for human intervention in creating semantic descriptions of multimedia documents, as well as correct for incompleteness and inconsistency. en
heal.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC en
heal.journalName IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. en
dc.identifier.doi 10.1109/TSMCA.2003.819498 en
dc.identifier.isi ISI:000189098000003 en
dc.identifier.volume 34 en
dc.identifier.issue 2 en
dc.identifier.spage 190 en
dc.identifier.epage 196 en


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