A relation-based contextual approach for effcient multimedia analysis

Spyrou, E; Tolias, G; Mylonas, Ph

dc.contributor.author	Spyrou, E	en
dc.contributor.author	Tolias, G	en
dc.contributor.author	Mylonas, Ph	en
dc.date.accessioned	2014-03-01T02:45:03Z
dc.date.available	2014-03-01T02:45:03Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32122
dc.subject.other	Feature extraction	en
dc.subject.other	Information theory	en
dc.subject.other	Ontology	en
dc.subject.other	Semantics	en
dc.subject.other	Data sets	en
dc.subject.other	Evaluation results	en
dc.subject.other	Level characteristics	en
dc.subject.other	Multimedia documents	en
dc.subject.other	Visual contexts	en
dc.subject.other	Multimedia services	en
dc.title	A relation-based contextual approach for effcient multimedia analysis	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/SMAP.2008.39	en
heal.identifier.secondary	http://dx.doi.org/10.1109/SMAP.2008.39	en
heal.identifier.secondary	4724842	en
heal.publicationDate	2008	en
heal.abstract	In this paper we present our research work on the identification of high-level concepts within multimedia documents through the introduction and utilization of contextual relations. A conceptual ontology is introduced, as the means of exploiting the visual context of images, in terms of high-level concepts and region types they consist of. A meaningful combination of these features results in a computationally e-cient handling of visual context and extraction of mid-level characteristics towards the ultimate goal of semantic multimedia analysis. Evaluation results are presented on a medium-size dataset, consisting of 1435 images, 25 region types and 6 high-level concepts derived from the beach domain of interest.©2008 IEEE.	en
heal.journalName	Proceedings - 3rd International Workshop on Semantic Media Adaptation and Personalization, SMAP 2008	en
dc.identifier.doi	10.1109/SMAP.2008.39	en
dc.identifier.spage	15	en
dc.identifier.epage	20	en