dc.contributor.author | Wallace, M | en |
dc.contributor.author | Akrivas, G | en |
dc.contributor.author | Mylonas, P | en |
dc.contributor.author | Avrithis, Y | en |
dc.contributor.author | Kollias, S | en |
dc.date.accessioned | 2014-03-01T01:52:55Z | |
dc.date.available | 2014-03-01T01:52:55Z | |
dc.date.issued | 2003 | en |
dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/26781 | |
dc.relation.uri | http://www.image.ece.ntua.gr/papers/235.pdf | en |
dc.subject | Automatic Detection | en |
dc.subject | Fuzzy Relation | en |
dc.subject | Hierarchical Clustering | en |
dc.subject | Object Detection | en |
dc.title | USING CONTEXT AND FUZZY RELATIONS TO INTERPRET MULTIMEDIA CONTENT | en |
heal.type | journalArticle | en |
heal.publicationDate | 2003 | en |
heal.abstract | Object detection techniques are coming closer to the auto- matic detection and identification of objects in multimedia documents. Still, this is not sufficient for the understanding of multimedia content, mainly because a simple object may be related to multiple topics, few of which are indeed related to a given document. In this paper we determine the the- matic categories that | en |
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