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NIPS
2007
15 years 6 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman
PR
2006
115views more  PR 2006»
15 years 4 months ago
Visual surveillance by dynamic visual attention method
This paper describes a method for visual surveillance based on biologically motivated dynamic visual attention in video image sequences. Our system is based on the extraction and ...
María T. López, Antonio Ferná...
CVPR
2011
IEEE
14 years 11 months ago
Global Contrast based Salient Region Detection
Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their content, and thus remains an important step in many computer vision ...
Ming-Ming Cheng, Guo-Xin Zhang, Niloy J. Mitra, Xi...
CVPR
2004
IEEE
16 years 6 months ago
Bayesian Video Matting Using Learnt Image Priors
Video matting, or layer extraction, is a classic inverse problem in computer vision that involves the extraction of foreground objects, and the alpha mattes that describe their op...
Nicholas Apostoloff, Andrew W. Fitzgibbon
ICIP
2006
IEEE
16 years 6 months ago
Multi-View Image Registration for Wide-Baseline Visual Sensor Networks
We present a new dense multi-view registration technique for wide-baseline video/images that integrates a parametric optical flowbased approach with a sparse set of feature corres...
Gulcin Caner, A. Murat Tekalp, Gaurav Sharma, Wend...