A fuzzy video content representation for video summarization and content-based retrieval

Doulamis, AD; Doulamis, ND; Kollias, SD

dc.contributor.author	Doulamis, AD	en
dc.contributor.author	Doulamis, ND	en
dc.contributor.author	Kollias, SD	en
dc.date.accessioned	2014-03-01T01:15:25Z
dc.date.available	2014-03-01T01:15:25Z
dc.date.issued	2000	en
dc.identifier.issn	0165-1684	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13484
dc.subject	video summarization	en
dc.subject	content-based retrieval	en
dc.subject	fuzzy logic	en
dc.subject	genetic algorithms	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	IMAGE RETRIEVAL	en
dc.subject.other	FRAMEWORK	en
dc.title	A fuzzy video content representation for video summarization and content-based retrieval	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0165-1684(00)00019-0	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0165-1684(00)00019-0	en
heal.language	English	en
heal.publicationDate	2000	en
heal.abstract	In this paper, a fuzzy representation of visual content is proposed, which is useful for the new emerging multimedia applications, such as content-based image indexing and retrieval, video browsing and summarization. In particular, a multidimensional fuzzy histogram is constructed for each video frame based on a collection of appropriate features, extracted using video sequence analysis techniques. This approach is then applied both for video summarization, in the context of a content-based sampling algorithm, and for content-based indexing and retrieval. In the first case, video summarization is accomplished by discarding shots or frames of similar visual content so that only a small but meaningful amount of information is retained (key-frames). In the second case, a content-based retrieval scheme is investigated, so that the most similar images to a query are extracted. Experimental results and comparison with other known methods are presented to indicate the good performance of the proposed scheme on real-life video recordings. (C) 2000 Elsevier Science B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	SIGNAL PROCESSING	en
dc.identifier.doi	10.1016/S0165-1684(00)00019-0	en
dc.identifier.isi	ISI:000087145400010	en
dc.identifier.volume	80	en
dc.identifier.issue	6	en
dc.identifier.spage	1049	en
dc.identifier.epage	1067	en