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» Complex Diffusion Processes for Image Filtering
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ICIP
2003
IEEE
14 years 7 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
NPAR
2006
ACM
13 years 11 months ago
Real-time pencil rendering
ROJECTPROJECT ABSTRACTABSTRACTABSTRACT After achieving real-time photorealistic rendering, the computer graphics community is beginning to turn its attention to non-photorealistic ...
Hyunjun Lee, Sungtae Kwon, Seungyong Lee
COGCOM
2010
107views more  COGCOM 2010»
13 years 2 months ago
Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention
To decide ``Where to look next ?'' is a central function of the attention system of humans, animals and robots. Control of attention depends on three factors, that is, lo...
Marco Wischnewski, Anna Belardinelli, Werner X. Sc...
NN
2008
Springer
150views Neural Networks» more  NN 2008»
13 years 5 months ago
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
Martyn Fletcher, Bojian Liang, Leslie Smith, Alast...
CVPR
2012
IEEE
11 years 10 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or