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NIPS
2007
15 years 5 hour 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
TOG
2008
121views more  TOG 2008»
14 years 10 months ago
Superimposing dynamic range
Replacing a uniform illumination by a high-frequent illumination enhances the contrast of observed and captured images. We modulate spatially and temporally multiplexed (projected...
Oliver Bimber, Daisuke Iwai
CVPR
2007
IEEE
16 years 18 days ago
Saliency Detection: A Spectral Residual Approach
The ability of human visual system to detect visual saliency is extraordinarily fast and reliable. However, computational modeling of this basic intelligent behavior still remains...
Xiaodi Hou, Liqing Zhang
ICIP
2005
IEEE
16 years 7 days ago
Spatiotemporal-chromatic structure of natural scenes
We investigate the implications of a unified spatiotemporal-chromatic basis for compression and reconstruction of image sequences. Different adaptive methods (PCA and ICA) are app...
Steven Bergner, Mark S. Drew
ICIP
2009
IEEE
14 years 8 months ago
Expanded bag of words representation for object classification
Currently, the bag of visual words (BOW) representation has received wide applications in object categorization. However, the BOW representation ignores the dependency relationshi...
Tinglin Liu, Jing Liu, Qingshan Liu, Hanqing Lu