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» A probabilistic model for classifying segmented images
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CVPR
2008
IEEE
15 years 11 months ago
Selective hidden random fields: Exploiting domain-specific saliency for event classification
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
Vidit Jain, Amit Singhal, Jiebo Luo
ICIP
2010
IEEE
14 years 7 months ago
Semi-automatic motion based segmentation using long term motion trajectories
Semi-automated object segmentation is an important step in the cinema post-production workflow. We propose a dense motion based segmentation process that employs sparse feature ba...
Gary Baugh, Anil C. Kokaram
MICCAI
2009
Springer
15 years 11 months ago
Shape Modelling for Tract Selection
Abstract. Probabilistic tractography provides estimates of the probability of a structural connection between points or regions in a brain volume, based on information from diffusi...
Jonathan D. Clayden, Martin D. King, Chris A. Cl...
PAMI
2012
13 years 4 days ago
Holistic Context Models for Visual Recognition
— A novel framework to context modeling, based on the probability of co-occurrence of objects and scenes is proposed. The modeling is quite simple, and builds upon the availabili...
Nikhil Rasiwasia, Nuno Vasconcelos

Publication
1851views
16 years 10 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...