Semi-automatic extraction of semantics from football video sequences

Tzouvaras, V; Stamou, G; Kollias, S

dc.contributor.author	Tzouvaras, V	en
dc.contributor.author	Stamou, G	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:42:58Z
dc.date.available	2014-03-01T02:42:58Z
dc.date.issued	2004	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31156
dc.subject	Domain Specificity	en
dc.subject	Football	en
dc.subject	Knowledge Base	en
dc.subject	Semantic Relations	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Image retrieval	en
dc.subject.other	Internet	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Online systems	en
dc.subject.other	Video signal processing	en
dc.subject.other	Automatic annotation	en
dc.subject.other	Football video sequences	en
dc.subject.other	Semi-automatic extraction	en
dc.subject.other	Semantics	en
dc.title	Semi-automatic extraction of semantics from football video sequences	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-24674-9_51	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-24674-9_51	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	In this paper we use a knowledge based inference model in combination with knowledge stored in a domain specific ontologies to organize and combine semantically-related entities, within multimedia documents in order to extract semantics from video sequences. The simulation results demonstrate that is possible to extract high-level information from video if low-level features are extracted with high precision. Within the scope of this work we are not particularly interested in the method by which the low level features are extracted from the video.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/978-3-540-24674-9_51	en
dc.identifier.isi	ISI:000221610800051	en
dc.identifier.volume	3025	en
dc.identifier.spage	486	en
dc.identifier.epage	495	en