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» Unsupervised Multiscale Image Segmentation
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ICIP
2005
IEEE
15 years 3 months ago
Robust highlight extraction using multi-stream hidden Markov models for baseball video
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...
Nguyen Huu Bach, Koichi Shinoda, Sadaoki Furui
DAGM
2010
Springer
14 years 10 months ago
Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
Margret Keuper, Robert Bensch, Karsten Voigt, Alex...
AIME
1997
Springer
15 years 2 months ago
Rule-Based Labeling of CT Head Image
A rule-based approach to the labeling of computed tomography CT head images containing intracerebral brain hemorrhage ICH is presented in this paper. Fully automated segmentat...
Dubravko Cosic, Sven Loncaric
ICIP
2002
IEEE
15 years 11 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
2007
IEEE
15 years 11 months ago
A Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs
In this paper, we give a probabilistic model for automatic change detection on airborne images taken with moving cameras. To ensure robustness, we adopt an unsupervised coarse mat...
Csaba Benedek, Tamas Sziranyi, Zoltan Kato, and Jo...