AN ADAPTIVE APPROACH TO VIDEO INDEXING AND RETRIEVAL USING FUZZY CLASSIFICATION

Avrithis, Y; Doulamis, A; Doulamis, N; Kollias, S

dc.contributor.author	Avrithis, Y	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Doulamis, N	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:46:39Z
dc.date.available	2014-03-01T01:46:39Z
dc.date.issued	1998	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24976
dc.subject	Content Based Retrieval	en
dc.subject	content-based indexing and retrieval	en
dc.subject	Feature Vector	en
dc.subject	Fuzzy Classification	en
dc.subject	Texture Segmentation	en
dc.subject	User Requirements	en
dc.subject	Video Database	en
dc.subject	Video Indexing	en
dc.title	AN ADAPTIVE APPROACH TO VIDEO INDEXING AND RETRIEVAL USING FUZZY CLASSIFICATION	en
heal.type	journalArticle	en
heal.publicationDate	1998	en
heal.abstract	An integrated framework for content-based indexing and retrieval in video databases is presented in this paper, which has the capability of adapting its performance according to user requirements. Video sequences are represented by extracting a small number of key frames or scenes and constructing multidimensional feature vectors using fuzzy classification of color, motion or texture segment properties. Queries are then	en