Intelligent Visual Descriptor Extraction from Video Sequences

Tzouveli, P; Andreou, G; Tsechpenakis, G; Avrithis, Y; Kollias, S

dc.contributor.author	Tzouveli, P	en
dc.contributor.author	Andreou, G	en
dc.contributor.author	Tsechpenakis, G	en
dc.contributor.author	Avrithis, Y	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:49:20Z
dc.date.available	2014-03-01T02:49:20Z
dc.date.issued	2003	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34522
dc.subject	a priori knowledge	en
dc.subject	Active Contour	en
dc.subject	Affine Transformation	en
dc.subject	Information Analysis	en
dc.subject	Knowledge Base	en
dc.subject	Matching Function	en
dc.title	Intelligent Visual Descriptor Extraction from Video Sequences	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-25981-7_9	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-25981-7_9	en
heal.publicationDate	2003	en
heal.abstract	Extraction of visual descriptors is a crucial problem for state- of-the-art visual information analysis. In this paper, we present a knowledge- based approach for detection of visual objects in video sequences, extrac- tion of visual descriptors and matching with pre-defined objects. The proposed approach models objects through their visual descriptors de- fined in MPEG7. It first extracts moving regions using	en
heal.journalName	Adaptive Multimedia Retrieval	en
dc.identifier.doi	10.1007/978-3-540-25981-7_9	en