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» Adaptive semantic Bayesian framework for image attention
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ICPR
2008
IEEE
13 years 11 months ago
Adaptive semantic Bayesian framework for image attention
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...
Wei Zhang, Q. M. Jonathan Wu, Guanghui Wang
PREMI
2009
Springer
13 years 11 months ago
A Bayesian Approach to Hybrid Image Retrieval
Content based image retrieval (CBIR) has been well studied in the computer vision and multimedia community. Content free image retrieval (CFIR) methods, and their complementary cha...
Pradhee Tandon, C. V. Jawahar
ICCV
2005
IEEE
14 years 6 months ago
Mutual Information Regularized Bayesian Framework for Multiple Image Restoration
to appear in Proc. IEEE International Conference on Computer Vision (ICCV), 2005 Bayesian methods have been extensively used in various applications. However, there are two intrin...
Yunqiang Chen, Hongcheng Wang, Tong Fang, Jason Ty...
MM
2005
ACM
178views Multimedia» more  MM 2005»
13 years 10 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan
ICVGIP
2008
13 years 6 months ago
Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach
A novel nonlinear cooperative approach to image denoising and restoration is presented. Samples from the image field with similar characteristics are first grouped into clusters b...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...