Semantic classification of Byzantine icons

Tzouveli, P; Simou, N; Stamou, G; Kollias, S

dc.contributor.author	Tzouveli, P	en
dc.contributor.author	Simou, N	en
dc.contributor.author	Stamou, G	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:31:51Z
dc.date.available	2014-03-01T01:31:51Z
dc.date.issued	2009	en
dc.identifier.issn	1541-1672	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19960
dc.subject	Artificial Intelligent	en
dc.subject	Computer Vision	en
dc.subject	Design Methodology	en
dc.subject	Fuzzy Description Logic	en
dc.subject	Image Processing	en
dc.subject	Knowledge Representation	en
dc.subject	Pattern Recognition	en
dc.subject	Scene Analysis	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Classification system	en
dc.subject.other	Expressive power	en
dc.subject.other	Facial feature	en
dc.subject.other	Fuzzy description logic	en
dc.subject.other	Image analysis algorithms	en
dc.subject.other	Knowledge representation and reasoning	en
dc.subject.other	Reasoning engine	en
dc.subject.other	Semantic classification	en
dc.subject.other	Data description	en
dc.subject.other	Image analysis	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Knowledge representation	en
dc.subject.other	Semantics	en
dc.subject.other	Feature extraction	en
dc.title	Semantic classification of Byzantine icons	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/MIS.2009.34	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MIS.2009.34	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	Image analysis algorithms are combined with the expressive power of fuzzy description logics (DL) to classify the important facial features of Byzantine icons and detect the sacred figures having specific characteristics. The Byzantine icon classification system consists of the Byzantine icon analysis subsystem and the knowledge representation and reasoning subsystem. Feature extraction module automatically extracts features from the segmented parts, providing additional information regarding each part's length, color, shape, and texture. Knowledge representation and reasoning consists of terminological and assertional knowledge and a reasoning engine and these types of knowledge are the basic components of a knowledge-based system based on DLs. The feature extraction module extracted features for every icon segment and the semantic-interpretation module interpreted each segment's specific features and properties and the relationship of face parts.	en
heal.publisher	IEEE COMPUTER SOC	en
heal.journalName	IEEE Intelligent Systems	en
dc.identifier.doi	10.1109/MIS.2009.34	en
dc.identifier.isi	ISI:000264397500009	en
dc.identifier.volume	24	en
dc.identifier.issue	2	en
dc.identifier.spage	35	en
dc.identifier.epage	43	en