Video object articulation using depth-based content segmentation approaches

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

dc.contributor.author	Doulamis, N	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Kollias, S	en
dc.contributor.author	Ntalianis, K	en
dc.date.accessioned	2014-03-01T02:49:11Z
dc.date.available	2014-03-01T02:49:11Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34394
dc.subject	Color Segmentation	en
dc.subject	Video Object Segmentation	en
dc.subject	Video Object	en
dc.title	Video object articulation using depth-based content segmentation approaches	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIP.2002.1039976	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIP.2002.1039976	en
heal.publicationDate	2002	en
heal.abstract	In this paper two efficient unsupervised video object seg- mentation approaches are proposed and then extensively com- pared in terms of computational cost and quality of segmentation results. Both methods exploit depth information. In particular a depth segments map is initially estimated by analyzing a stereo- scopic pair of frames and applying a segmentation algorithm. In the first a "Constrained	en
heal.journalName	International Conference on Image Processing	en
dc.identifier.doi	10.1109/ICIP.2002.1039976	en