Knowledge representation and semantic annotation of multimedia content

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

dc.contributor.author	Petridis, K	en
dc.contributor.author	Bloehdorn, S	en
dc.contributor.author	Saathoff, C	en
dc.contributor.author	Simou, N	en
dc.contributor.author	Dasiopoulou, S	en
dc.contributor.author	Tzouvaras, V	en
dc.contributor.author	Handschuh, S	en
dc.contributor.author	Avrithis, Y	en
dc.contributor.author	Kompatsiaris, Y	en
dc.contributor.author	Staab, S	en
dc.date.accessioned	2014-03-01T01:24:32Z
dc.date.available	2014-03-01T01:24:32Z
dc.date.issued	2006	en
dc.identifier.issn	1350-245X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17323
dc.subject	Feature Extraction	en
dc.subject	Formal Specification	en
dc.subject	Semantic Annotation	en
dc.subject	Semantic Metadata	en
dc.subject.other	Feature extraction	en
dc.subject.other	Image segmentation	en
dc.subject.other	Knowledge representation	en
dc.subject.other	Metadata	en
dc.subject.other	Problem solving	en
dc.subject.other	Semantics	en
dc.subject.other	Audiovisual	en
dc.subject.other	Multimedia documents	en
dc.subject.other	Semantic annotation	en
dc.subject.other	Semantic content dimension	en
dc.subject.other	Multimedia systems	en
dc.title	Knowledge representation and semantic annotation of multimedia content	en
heal.type	journalArticle	en
heal.identifier.primary	10.1049/ip-vis:20050059	en
heal.identifier.secondary	http://dx.doi.org/10.1049/ip-vis:20050059	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	Knowledge representation and semantic annotation of multimedia documents typically have been pursued in two different directions. Previous approaches have focused either on low-level descriptors, such as dominant colour, or on the semantic content dimension and corresponding manual annotations, such as person or vehicle. Here, a knowledge infrastructure and an experimentation platform for semantic annotation to bridge the two directions are presented. Ontologies are being extended and enriched to include low-level audiovisual features and descriptors. Additionally, a tool that allows for linking low-level MPEG-7 visual descriptions to ontologies and annotations is presented. Thus, ontologies that include prototypical instances of high-level domain concepts together with a formal specification of the corresponding visual descriptors are constructed. This infrastructure is exploited by a knowledge-assisted analysis framework that may handle problems such as segmentation, tracking, feature extraction and matching in order to classify scenes, identify and label objects and thus automatically create the associated semantic metadata.	en
heal.publisher	INSTITUTION ENGINEERING TECHNOLOGY-IET	en
heal.journalName	IEE Proceedings: Vision, Image and Signal Processing	en
dc.identifier.doi	10.1049/ip-vis:20050059	en
dc.identifier.isi	ISI:000239162900002	en
dc.identifier.volume	153	en
dc.identifier.issue	3	en
dc.identifier.spage	255	en
dc.identifier.epage	262	en