Semantic annotation of images and videos for multimedia analysis

Bloehdorn, S; Petridis, K; Saathoff, C; Simou, N; Tzouvaras, V; Avrithis, Y; Handschuh, S; Kompatsiaris, Y; Staab, S; Strintzis, MG

dc.contributor.author	Bloehdorn, S	en
dc.contributor.author	Petridis, K	en
dc.contributor.author	Saathoff, C	en
dc.contributor.author	Simou, N	en
dc.contributor.author	Tzouvaras, V	en
dc.contributor.author	Avrithis, Y	en
dc.contributor.author	Handschuh, S	en
dc.contributor.author	Kompatsiaris, Y	en
dc.contributor.author	Staab, S	en
dc.contributor.author	Strintzis, MG	en
dc.date.accessioned	2014-03-01T02:43:31Z
dc.date.available	2014-03-01T02:43:31Z
dc.date.issued	2005	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31455
dc.subject	Formal Specification	en
dc.subject	Multimedia Content Analysis	en
dc.subject	Semantic Annotation	en
dc.subject	Semantic Web	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	Color	en
dc.subject.other	Computer software	en
dc.subject.other	Multimedia systems	en
dc.subject.other	Visualization	en
dc.subject.other	Annotations	en
dc.subject.other	High-level domain	en
dc.subject.other	M-OntoMat-Annotizer	en
dc.subject.other	Semantics	en
dc.title	Semantic annotation of images and videos for multimedia analysis	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/11431053_40	en
heal.identifier.secondary	http://dx.doi.org/10.1007/11431053_40	en
heal.language	English	en
heal.publicationDate	2005	en
heal.abstract	Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant color, or they have focused on the content dimension and corresponding annotations, such as person or vehicle. In this paper, we present a software environment to bridge between the two directions. M-OntoMat-Annotizer allows for linking low level MPEG-7 visual descriptions to conventional Semantic Web ontologies and annotations. We use M-OntoMat-Annotizer in order to construct ontologies that include prototypical instances of high-level domain concepts together with a formal specification of corresponding visual descriptors. Thus, we formalize the interrelationship of high- and low-level multimedia concept descriptions allowing for new kinds of multimedia content analysis and reasoning. © Springer-Verlag Berlin Heidelberg 2005.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science	en
heal.bookName	Lecture Notes in Computer Science	en
dc.identifier.doi	10.1007/11431053_40	en
dc.identifier.isi	ISI:000230458500040	en
dc.identifier.volume	3532	en
dc.identifier.spage	592	en
dc.identifier.epage	607	en