Semantic multimedia analysis based on region types and visual context

Spyrou, E; Mylonas, P; Avrithis, Y

dc.contributor.author	Spyrou, E	en
dc.contributor.author	Mylonas, P	en
dc.contributor.author	Avrithis, Y	en
dc.date.accessioned	2014-03-01T02:44:57Z
dc.date.available	2014-03-01T02:44:57Z
dc.date.issued	2007	en
dc.identifier.issn	15715736	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32044
dc.title	Semantic multimedia analysis based on region types and visual context	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-0-387-74161-1_42	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-0-387-74161-1_42	en
heal.publicationDate	2007	en
heal.abstract	In this paper previous work on the detection of high-level concepts within multimedia documents is extended by introducing a mid-level ontology as a means of exploiting the visual context of images in terms of the regions they consist of. More specifically, we construct a mid-level ontology, define its relations and integrate it in our knowledge modelling approach. In the past we have developed algorithms to address computationally efficient handling of visual context and extraction of mid-level characteristics and now we explain how these diverse algorithms and methodologies can be combined in order to approach a greater goal, that of semantic multimedia analysis. Early experimental results are presented using data derived from the beach domain. © 2007 International Federation for Information Processing.	en
heal.journalName	IFIP International Federation for Information Processing	en
dc.identifier.doi	10.1007/978-0-387-74161-1_42	en
dc.identifier.volume	247	en
dc.identifier.spage	389	en
dc.identifier.epage	398	en