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» Discrete Mixture Models for Unsupervised Image Segmentation
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CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
14 years 27 days ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...
ECCV
2004
Springer
14 years 9 months ago
Interactive Image Segmentation Using an Adaptive GMMRF Model
The problem of interactive foreground/background segmentation in still images is of great practical importance in image editing. The state of the art in interactive segmentation is...
Andrew Blake, Carsten Rother, M. Brown, Patrick P&...
ICIP
2004
IEEE
14 years 9 months ago
Modulation-feature based textured image segmentation using curve evolution
In this paper we incorporate recent results from AM-FM models for texture analysis into the variational model of image segmentation and examine the potential benefits of using the...
Iasonas Kokkinos, Georgios Evangelopoulos, Petros ...
PCM
2001
Springer
150views Multimedia» more  PCM 2001»
14 years 3 days ago
Unsupervised Analysis of Human Gestures
Recognition of human gestures is important for analysis and indexing of video. To recognize human gestures on video, generally a large number of training examples for each individu...
Tianshu Wang, Heung-Yeung Shum, Ying-Qing Xu, Nann...
ICIP
1998
IEEE
14 years 9 months ago
A Neural Network based Scheme for Unsupervised Video Object Segmentation
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...