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CVPR
2007
IEEE
15 years 11 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
ICCV
2007
IEEE
15 years 11 months ago
Non-metric affinity propagation for unsupervised image categorization
Unsupervised categorization of images or image parts is often needed for image and video summarization or as a preprocessing step in supervised methods for classification, trackin...
Delbert Dueck, Brendan J. Frey
ECCV
2002
Springer
1127views Computer Vision» more  ECCV 2002»
15 years 11 months ago
Removing Shadows from Images
Illumination conditions cause problems for many computer vision algorithms. Inparticular, shadows in an image can cause segmentation, tracking, or recognition algorithms to fail. I...
Graham D. Finlayson, Steven D. Hordley, Mark S. Dr...
CVPR
2010
IEEE
15 years 3 months ago
Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation
Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years. For various contextual information and resources,...
Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-seng chu...
APGV
2004
ACM
179views Visualization» more  APGV 2004»
15 years 3 months ago
Example-based color stylization based on categorical perception
We describe a new computational approach to stylize the colors of an image by using a reference image. During processing, we take characteristics of human color perception into ac...
Youngha Chang, Keiji Uchikawa, Suguru Saito