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» Input Modeling Using Quantile Statistical Methods
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CVPR
2009
IEEE
15 years 5 months ago
On the burstiness of visual elements
Burstiness, a phenomenon initially observed in text re- trieval, is the property that a given visual element appears more times in an image than a statistically independent mode...
Herve Jegou (INRIA), Matthijs Douze (INRIA), Corde...
ECCV
2006
Springer
15 years 7 days ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
ICIP
2002
IEEE
14 years 12 months ago
Probabilistic home video structuring: feature selection and performance evaluation
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
Daniel Gatica-Perez, Alexander C. Loui, Ming-Ting ...
MICCAI
2009
Springer
14 years 11 months ago
Depth Data Improves Skin Lesion Segmentation
This paper shows that adding 3D depth information to RGB colour images improves segmentation of pigmented and non-pigmented skin lesion. A regionbased active contour segmentation ...
Xiang Li, Ben Aldridge, Lucia Ballerini, Robert B....
ICPR
2006
IEEE
14 years 11 months ago
Style Quantification of Scanned Multi-source Digits
The co-occurring patterns in a group carrying the traits of common origin are statistically dependent via an underlying style context. Exploiting style consistency in groups of pa...
George Nagy, Xiaoli Zhang