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SCALESPACE
2007
Springer
9 years 6 months ago
Space-Time Segmentation Based on a Joint Entropy with Estimation of Nonparametric Distributions
This paper deals with video segmentation based on motion and spatial information. Classically, the nucleus of the motion term is the motion compensation error (MCE) between two con...
Ariane Herbulot, Sylvain Boltz, Eric Debreuve, Mic...
IJCV
2008
209views more  IJCV 2008»
8 years 10 months ago
Motion and Appearance Nonparametric Joint Entropy for Video Segmentation
This paper deals with video segmentation based on motion and spatial information. Classically, the motion term is based on a motion compensation error (MCE) between two consecutiv...
Sylvain Boltz, Ariane Herbulot, Eric Debreuve, Mic...
ICIP
2006
IEEE
10 years 1 months ago
Robust Motion-Based Segmentation in Video Sequences using Entropy Estimator
This paper deals with motion estimation and segmentation in video sequences. Some methods of motion computation between two consecutive frames of a video sequence are based on the...
Ariane Herbulot, Sylvain Boltz, Eric Debreuve, Mic...
CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
9 years 1 months ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
VLSM
2005
Springer
9 years 5 months ago
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision
We present a computationally ef´Čücient segmentationrestoration method, based on a probabilistic formulation, for the joint estimation of the label map (segmentation) and the para...
Mariano Rivera, Omar Ocegueda, José L. Marr...
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