Understanding how visual context influences multimedia content analysis problems

Mylonas, P

dc.contributor.author	Mylonas, P	en
dc.date.accessioned	2014-03-01T02:54:03Z
dc.date.available	2014-03-01T02:54:03Z
dc.date.issued	2012	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36566
dc.subject	context representation and analysis	en
dc.subject	context-driven multimedia analysis	en
dc.subject	knowledge representation	en
dc.subject	multimedia analysis	en
dc.subject	visual context	en
dc.subject.other	Context representation	en
dc.subject.other	Contextual information	en
dc.subject.other	Multi-media analysis	en
dc.subject.other	Multimedia applications	en
dc.subject.other	Multimedia computing	en
dc.subject.other	Multimedia content analysis	en
dc.subject.other	Object Detection	en
dc.subject.other	Scene classification	en
dc.subject.other	Usage scenarios	en
dc.subject.other	Visual context	en
dc.subject.other	Knowledge representation	en
dc.subject.other	Artificial intelligence	en
dc.title	Understanding how visual context influences multimedia content analysis problems	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-30448-4_46	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-30448-4_46	en
heal.publicationDate	2012	en
heal.abstract	The importance of context in modern multimedia computing applications is widely acknowledged and has become a major topic of interest in multimedia content analysis systems. In this paper we focus on visual context, tackling it from the scope of its utilization within the above framework. We present a brief review of visual context modeling methods and identify and discriminate its useful types within multimedia applications, envisioning possible usage scenarios for contextual information. Finally, a representation of visual context modeling is reviewed, being suitable for aiding in the case of common multimedia analysis problems, such as object detection and scene classification. © 2012 Springer-Verlag.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-30448-4_46	en
dc.identifier.volume	7297 LNCS	en
dc.identifier.spage	361	en
dc.identifier.epage	368	en