Efficient video summarization based on a fuzzy video content representation

Doulamis, A; Doulamis, N; Kollias, S

dc.contributor.author	Doulamis, A	en
dc.contributor.author	Doulamis, N	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:41:38Z
dc.date.available	2014-03-01T02:41:38Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30575
dc.subject	Cross Correlation	en
dc.subject	Feature Extraction	en
dc.subject	Sequence Analysis	en
dc.subject	Video Recording	en
dc.subject	Video Summarization	en
dc.title	Efficient video summarization based on a fuzzy video content representation	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISCAS.2000.858748	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISCAS.2000.858748	en
heal.publicationDate	2000	en
heal.abstract	A fuzzy representation of visual content is proposed, which is useful for video 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. Then, key frames are selected optimally by minimizing a cross correlation criterion. Experimental results and comparison with other known methods are	en
heal.journalName	IEEE International Symposium on Circuits and Systems	en
dc.identifier.doi	10.1109/ISCAS.2000.858748	en