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» Mixture model based contextual image retrieval
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167
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ICCV
2011
IEEE
14 years 3 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
134
Voted
CVPR
1997
IEEE
15 years 8 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
153
Voted
ICCV
1995
IEEE
15 years 7 months ago
Closed-World Tracking
A new approach to tracking weakly modeled objects in a semantically rich domain is presented. We define a closed-world as a space-time region of an image sequence in which the co...
Stephen S. Intille, Aaron F. Bobick
150
Voted
ICIAP
2007
ACM
15 years 10 months ago
Rigid Image Registration based on Pixel Grouping
We propose a pixel similarity-based algorithm enabling accurate rigid registration between single and multimodal images. The method relies on the partitioning of a reference image...
Demetrios Gerogiannis, Christophoros Nikou, Aristi...
117
Voted
ISVC
2009
Springer
15 years 10 months ago
Scene Categorization by Introducing Contextual Information to the Visual Words
In this paper, we propose a novel scene categorization method based on contextual visual words. In this method, we extend the traditional ‘bags of visual words’ model by introd...
Jianzhao Qin, Nelson H. C. Yung