Non-sequential video structuring based on video object linking: An efficient tool for video browsing and indexing

Ntalianis, KS; Doulamis, AD; Doulamis, ND; Kollias, SD

dc.contributor.author	Ntalianis, KS	en
dc.contributor.author	Doulamis, AD	en
dc.contributor.author	Doulamis, ND	en
dc.contributor.author	Kollias, SD	en
dc.date.accessioned	2014-03-01T02:41:57Z
dc.date.available	2014-03-01T02:41:57Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30691
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0035167630&partnerID=40&md5=ebd4bfc3daac793608502feed47110b0	en
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0035167630&partnerID=40&md5=ebd4bfc3daac793608502feed47110b0	en
dc.subject.other	Algorithms	en
dc.subject.other	Content based retrieval	en
dc.subject.other	Data structures	en
dc.subject.other	Feature extraction	en
dc.subject.other	Image analysis	en
dc.subject.other	Indexing (of information)	en
dc.subject.other	Optimization	en
dc.subject.other	Stereo vision	en
dc.subject.other	Stereoscopic video sequences	en
dc.subject.other	Video browsing	en
dc.subject.other	Video indexing	en
dc.subject.other	Video object linking	en
dc.subject.other	Video object planes	en
dc.subject.other	Video structuring	en
dc.subject.other	Image segmentation	en
dc.title	Non-sequential video structuring based on video object linking: An efficient tool for video browsing and indexing	en
heal.type	conferenceItem	en
heal.publicationDate	2001	en
heal.abstract	An efficient system for unsupervised structuring of stereoscopic sequences is presented in this paper, which generates links between similar VOPs of different shots. Particularly after shot cut detection, for each shot, a fast, unsupervised VOP detection and tracking algorithm is applied. Then for each of the foreground VOPs of a frame, a feature vector is constructed using low level features of the VOP as color and size. Afterwards, for a given shot, key-VOP poses are extracted for each VOP, using an optimization method for locating VOP poses of minimally correlated feature vectors. Finally an iterative process is performed to link each key VOP of a shot to another, according to a correlation measure. Experimental results indicate the promising performance of the proposed system on real life stereoscopic video sequences.	en
heal.journalName	IEEE International Conference on Image Processing	en
dc.identifier.volume	3	en
dc.identifier.spage	410	en
dc.identifier.epage	413	en