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120
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ICIP
2009
IEEE
14 years 12 months ago
What we see is most likely to be what matters: Visual attention and applications
Olivier Le Meur, Patrick Le Callet
141
Voted
ICIP
2001
IEEE
16 years 3 months ago
Statistical wavelet subband modelling for texture classification
Simple wavelet and wavelet packet transforms have often been used for texture characterisation through the analysis of spatial-frequency content. However, most previous methods ma...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
TOG
2012
280views Communications» more  TOG 2012»
13 years 4 months ago
What makes Paris look like Paris?
Given a large repository of geotagged imagery, we seek to automatically find visual elements, e.g. windows, balconies, and street signs, that are most distinctive for a certain g...
Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef ...
ICIP
2005
IEEE
15 years 7 months ago
Using Tsallis entropy into a Bayesian network for CBIR
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...
132
Voted
CLEF
2004
Springer
15 years 7 months ago
How to Visually Retrieve Images from the St. Andrews Collection Using GIFT
Abstract. The ImageCLEF task of CLEF has a main goal in the retrieval of images from multi–lingual collections. The 2003 imageCLEF saw no group using the visual information of im...
Henning Müller, Antoine Geissbühler