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» Markov Random Field Modeling in Computer Vision
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AAAI
2004
13 years 10 months ago
Interactive Information Extraction with Constrained Conditional Random Fields
Information Extraction methods can be used to automatically "fill-in" database forms from unstructured data such as Web documents or email. State-of-the-art methods have...
Trausti T. Kristjansson, Aron Culotta, Paul A. Vio...
ICIP
2008
IEEE
14 years 11 months ago
Motion blur free HDR image acquisition using multiple exposures
The high dynamic range image (HDRI) acquisition method based on Markov random field model is proposed. By combining multiple exposure images shot with different shutter speed, we ...
Takao Jinno, Masahiro Okuda
ICIP
2000
IEEE
14 years 10 months ago
Definition of a Spatial Entropy and its Use for Texture Discrimination
This paper presents a new definition of a spatial entropy mainly based on the Markov Random Field (MRF) properties. Starting with the study of the entropy proposed in [1] for the ...
Florence Tupin, Henri Maître, Marc Sigelle
EMMCVPR
2005
Springer
14 years 2 months ago
Color Correction of Underwater Images for Aquatic Robot Inspection
In this paper, we consider the problem of color restoration using statistical priors. This is applied to color recovery for underwater images, using an energy minimization formulat...
Luz Abril Torres-Méndez, Gregory Dudek
CSIE
2009
IEEE
14 years 3 months ago
Discriminative Random Fields for Behavior Modeling
This paper proposed an approach of human behavior modeling based on Discriminative Random Fields. In this model, by introducing the hidden behavior feature functions and time wind...
Tianyu Huang, Chongde Shi, Fengxia Li