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ACCV
1998
Springer
13 years 9 months ago
Motion Compensated Color Video Classification Using Markov Random Fields
Abstract. This paper deals with the classification of color video sequences using Markov Random Fields (MRF) taking into account motion information. The theoretical framework relie...
Zoltan Kato, Ting-Chuen Pong, John Chung-Mong Lee
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
13 years 9 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
PG
2003
IEEE
13 years 10 months ago
Non-Photorealistic Rendering and Content-Based Image Retrieval
In this paper, we will show how non-photorealistic rendering (NPR) can take a new role in content-based image retrieval (CBIR). We propose a content-based image retrieval method. ...
Xiaowen Ji, Zoltan Kato, Zhiyong Huang
ICIP
2010
IEEE
13 years 10 months ago
Estimation of linear deformations of 3D objects
We propose a registration method to find affine transformations between 3D objects by constructing and solving an overdetermined system of polynomial equations. We utilize voxel...
Attila Tanács, Natasa Sladoje, Joakim Lindblad, a...
ICPR
2010
IEEE
13 years 10 months ago
Live Cell Segmentation in Fluorescence Microscopy via Graph Cut
We propose a novel Markovian segmentation model which takes into account edge information. By construction, the model uses only pairwise interactions and its energy is submodula...
Milán Leskó, Zoltan Kato, Antal Nagy, Imre Gombo...