An ontology infrastructure for multimedia reasoning

Simou, N; Saathoff, G; Dasiopoulou, S; Spyrou, E; Voisine, N; Tzouvaras, V; Kompatsiaris, I; Avrithis, Y; Staab, S

dc.contributor.author	Simou, N	en
dc.contributor.author	Saathoff, G	en
dc.contributor.author	Dasiopoulou, S	en
dc.contributor.author	Spyrou, E	en
dc.contributor.author	Voisine, N	en
dc.contributor.author	Tzouvaras, V	en
dc.contributor.author	Kompatsiaris, I	en
dc.contributor.author	Avrithis, Y	en
dc.contributor.author	Staab, S	en
dc.date.accessioned	2014-03-01T02:43:55Z
dc.date.available	2014-03-01T02:43:55Z
dc.date.issued	2006	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31554
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Data structures	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Image analysis	en
dc.subject.other	Image segmentation	en
dc.subject.other	Multimedia systems	en
dc.subject.other	Software prototyping	en
dc.subject.other	Generic algorithms	en
dc.subject.other	Low-level visual descriptors	en
dc.subject.other	Ontology infrastructure	en
dc.subject.other	Visual descriptor ontology (VDO)	en
dc.subject.other	Information retrieval	en
dc.title	An ontology infrastructure for multimedia reasoning	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11738695_8	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11738695_8	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	In this paper, an ontology infrastucture for multimedia reasoning is presented, making it possible to combine low-level visual descriptors with domain specific knowledge and subsequently analyze multimedia content with a generic algorithm that makes use of this knowledge. More specifically, the ontology infrastructure consists of a domain-specific ontology, a visual descriptor ontology (VDO) and an upper ontology. In order to interpret a scene, a set of atom regions is generated by an initial segmentation and their descriptors are extracted. Considering all descriptors in association with the related prototype instances and relations, a genetic algorithm labels the atom regions. Finally, a constraint reasoning engine enables the final region merging and labelling into meaningful objects. © Springer-Verlag Berlin Heidelberg 2006.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/11738695_8	en
dc.identifier.isi	ISI:000238283100008	en
dc.identifier.volume	3893 LNCS	en
dc.identifier.spage	51	en
dc.identifier.epage	60	en