Interactive content-based retrieval in video databases using fuzzy classification and relevance feedback

Doulamis Anastasios, D; Avrithis Yannis, S; Doulamis Nikolaos, D; Kollias Stefanos, D

dc.contributor.author	Doulamis Anastasios, D	en
dc.contributor.author	Avrithis Yannis, S	en
dc.contributor.author	Doulamis Nikolaos, D	en
dc.contributor.author	Kollias Stefanos, D	en
dc.date.accessioned	2014-03-01T01:14:43Z
dc.date.available	2014-03-01T01:14:43Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13203
dc.subject	Content Based Retrieval	en
dc.subject	Feature Vector	en
dc.subject	Fuzzy Classification	en
dc.subject	Information Need	en
dc.subject	Relevance Feedback	en
dc.subject	Texture Segmentation	en
dc.subject	User Requirements	en
dc.subject	Video Database	en
dc.subject	Video Object Segmentation	en
dc.subject.other	Algorithms	en
dc.subject.other	Feature extraction	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Graphical user interfaces	en
dc.subject.other	Human computer interaction	en
dc.subject.other	Image analysis	en
dc.subject.other	Image segmentation	en
dc.subject.other	Interactive computer graphics	en
dc.subject.other	Multimedia systems	en
dc.subject.other	Query languages	en
dc.subject.other	Fuzzy classification	en
dc.subject.other	Interactive content based retrieval	en
dc.subject.other	Relevance feedback	en
dc.subject.other	Image reconstruction	en
dc.title	Interactive content-based retrieval in video databases using fuzzy classification and relevance feedback	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/MMCS.1999.778618	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MMCS.1999.778618	en
heal.publicationDate	1999	en
heal.abstract	This paper presents an integrated framework for interactive content-based retrieval in video databases by means of visual queries. The proposed system incorporates algorithms for video shot detection, key-frame and shot selection, automated video object segmentation and tracking, and construction of multidimensional feature vectors using fuzzy classification of color, motion or texture segment properties. Retrieval is then performed in an interactive way by employing a parametric distance between feature vectors and updating distance parameters according to user requirements using relevance feedback. Experimental results demonstrate increased performance and flexibility according to user information needs.	en
heal.publisher	IEEE, Los Alamitos, CA, United States	en
heal.journalName	International Conference on Multimedia Computing and Systems -Proceedings	en
dc.identifier.doi	10.1109/MMCS.1999.778618	en
dc.identifier.volume	2	en
dc.identifier.spage	954	en
dc.identifier.epage	958	en