A Feature Point Based Scheme for Unsupervised Video Object Segmentation in Stereoscopic Video Sequences

Ntalianis, K; Doulamis, N; Doulamis, A; Kollias, S

dc.contributor.author	Ntalianis, K	en
dc.contributor.author	Doulamis, N	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:48:47Z
dc.date.available	2014-03-01T02:48:47Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34109
dc.subject	Depth Map	en
dc.subject	Satisfiability	en
dc.subject	Video Coding	en
dc.subject	Video Object Segmentation	en
dc.subject	Video Object Plane	en
dc.title	A Feature Point Based Scheme for Unsupervised Video Object Segmentation in Stereoscopic Video Sequences	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICME.2000.871062	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICME.2000.871062	en
heal.publicationDate	2000	en
heal.abstract	The video coding standard MPEG-4 is enabling content-based functionalities by the introduction of video object planes (VOP's) which represent semantically meaningful objects. In this paper, a novel fast, unsupervised semantic segmentation scheme is presented for stereoscopic sequences, which utilizes the provided depth information. Each stereo pair is first analyzed and the disparity field and occluded areas are estimated. Then a	en
heal.journalName	International Conference on Multimedia Computing and Systems/International Conference on Multimedia and Expo	en
dc.identifier.doi	10.1109/ICME.2000.871062	en