An optimized key-frames extraction scheme based on SVD and correlation minimization

Ntalianis, KS; Kollias, SD

dc.contributor.author	Ntalianis, KS	en
dc.contributor.author	Kollias, SD	en
dc.date.accessioned	2014-03-01T02:43:07Z
dc.date.available	2014-03-01T02:43:07Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31241
dc.subject	Correlation criterion	en
dc.subject	Genetic algorithm	en
dc.subject	Key-frames extraction	en
dc.subject	Singular Value Decomposition	en
dc.subject.other	Correlation methods	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Image processing	en
dc.subject.other	Vectors	en
dc.subject.other	Correlation criterion	en
dc.subject.other	Key-frames extraction	en
dc.subject.other	Singular Value Decomposition	en
dc.subject.other	Feature extraction	en
dc.title	An optimized key-frames extraction scheme based on SVD and correlation minimization	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICME.2005.1521542	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICME.2005.1521542	en
heal.identifier.secondary	1521542	en
heal.publicationDate	2005	en
heal.abstract	In this paper an optimized and efficient technique for key-frames extraction of video sequences is proposed, which leads to selection of a meaningful set of video frames for each given shot. Initially for each frame the Singular Value Decomposition method is applied and a diagonal matrix is produced, containing the singular values of the frame. Afterwards, a feature vector is created for each frame, by gathering the respective singular values. Next all feature vectors of the shot are collected to form the feature vectors basin of this shot. Finally a genetic algorithm approach is proposed and applied to the vectors basin, for locating frames of minimally correlated feature vectors, which are selected as keyframes. Experimental results indicate the promising performance of the proposed scheme on real life video shots. © 2005 IEEE.	en
heal.journalName	IEEE International Conference on Multimedia and Expo, ICME 2005	en
dc.identifier.doi	10.1109/ICME.2005.1521542	en
dc.identifier.volume	2005	en
dc.identifier.spage	792	en
dc.identifier.epage	795	en