A stochastic framework for optimal key frame extraction from MPEG video databases

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

dc.contributor.author	Doulamis, N	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Avrithis, Y	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:48:42Z
dc.date.available	2014-03-01T02:48:42Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34028
dc.subject	Cross Correlation	en
dc.subject	Feature Vector	en
dc.subject	Mpeg Video	en
dc.title	A stochastic framework for optimal key frame extraction from MPEG video databases	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/MMSP.1999.793811	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MMSP.1999.793811	en
heal.publicationDate	1999	en
heal.abstract	A framework for video content representation is proposed in this paper for extracting limited, but meaningful, information of video data directly from MPEG compressed domain. First, the traditional frame-based representation is transformed to a feature-based one. Then, all features are gathered together using a fuzzy formulation and extraction of several key frames is performed for each shot in a content-based	en
heal.journalName	Multimedia Signal Processing	en
dc.identifier.doi	10.1109/MMSP.1999.793811	en