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IJAIT
2000
64views more  IJAIT 2000»
13 years 4 months ago
Efficient Unsupervised Content-Based Segmentation in Stereoscopic Video Sequences
Anastasios D. Doulamis, Nikolaos D. Doulamis, Klim...
ICIP
2001
IEEE
14 years 5 months ago
Tube-embodied gradient vector flow fields for unsupervised video object plane (VOP) segmentation
In this paper constrained Gradient Vector Flow (GVF) field generation is performed, for fast and accurate unsupervised stereoscopic semantic segmentation. The scheme utilizes the ...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
ICIP
2002
IEEE
14 years 5 months ago
Video object articulation using depth-based content segmentation approaches
In this paper two efficient unsupervised video object segmentation approaches are proposed and then extensively compared in terms of computational cost and quality of segmentation...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
ICIP
2001
IEEE
14 years 5 months ago
Non-sequential video structuring based on video object linking: an efficient tool for video browsing and indexing
An efficient system for unsupervised structuring of stereoscopic sequences is presented in this paper, which generates links between similar VOPs of different shots. Particularly ...
Klimis S. Ntalianis, Nikolaos D. Doulamis, Anastas...
ICIP
2003
IEEE
14 years 5 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis