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» Discovery and Segmentation of Activities in Video
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ICIP
2001
IEEE
14 years 9 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
2005
IEEE
14 years 9 months ago
Watershed-driven active contours for moving object segmentation
In this paper we address the problem of video segmentation. We propose a new method which combines an active contour and a watershed presegmentation. We first apply active contour...
Annabelle Gouze, Cedric De Roover, Benoit M. Macq,...
ICMCS
2000
IEEE
136views Multimedia» more  ICMCS 2000»
13 years 11 months ago
Low-Level Motion Activity Features for Semantic Characterization of Video
Efficient methods of content characterization for the browsing, retrieval or filtering of vast amount of digital video content has become a necessity. Still, there is a gap betwee...
Kadir A. Peker, A. Aydin Alatan, Ali N. Akansu
ICIP
2003
IEEE
14 years 9 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
ICASSP
2007
IEEE
14 years 1 months ago
Speeded Up Gradient Vector Flow B-Spline Active Contours for Robust and Real-Time Tracking
Segmentation and tracking methods have been widely explore. However, they are often computationally heavy or require constraining assumptions. We present in this paper a new syste...
Joanna I. Olszewska, Christophe De Vleeschouwer, B...