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» Video Segmentation Based on Graphical Models
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CVPR
2003
IEEE
14 years 7 months ago
Video Segmentation Based on Graphical Models
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
Kia-Fock Loe, Tele Tan, Yang Wang 0002
CVIU
2008
126views more  CVIU 2008»
13 years 5 months ago
Optimising dynamic graphical models for video content analysis
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Tao Xiang, Shaogang Gong
IWCM
2004
Springer
13 years 10 months ago
Bayesian Approaches to Motion-Based Image and Video Segmentation
We present a variational approach for segmenting the image plane into regions of piecewise parametric motion given two or more frames from an image sequence. Our model is based on ...
Daniel Cremers
ICCV
2009
IEEE
13 years 2 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios
ICIP
2007
IEEE
14 years 6 months ago
Semantics-Based Video Indexing using a Stochastic Modeling Approach
Semantic video indexing is the first step towards automatic video retrieval and personalization. We propose a data-driven stochastic modeling approach to perform both video segmen...
Yong Wei, Suchendra M. Bhandarkar, Kang Li