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» Modeling attention to salient proto-objects
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ICCV
2011
IEEE
12 years 5 months ago
Center-surround Divergence of Feature Statistics for Salient Object Detection
In this paper, we introduce a new method to detect salient objects in images. The approach is based on the standard structure of cognitive visual attention models, but realizes th...
Dominik A. Klein, Simone Frintrop
ACMSE
2006
ACM
13 years 11 months ago
Using visual attention to extract regions of interest in the context of image retrieval
Recent research on computational modeling of visual attention has demonstrated that a bottom-up approach to identifying salient regions within an image can be applied to diverse a...
Oge Marques, Liam M. Mayron, Gustavo B. Borba, Hum...
CHI
2009
ACM
14 years 5 months ago
What do you see when you're surfing?: using eye tracking to predict salient regions of web pages
An understanding of how people allocate their visual attention when viewing Web pages is very important for Web authors, interface designers, advertisers and others. Such knowledg...
Georg Buscher, Edward Cutrell, Meredith Ringel Mor...
ICMCS
2006
IEEE
174views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions
In this paper, we propose a probabilistic model for web image mining, which is based on concept-sensitive salient regions without human intervene. Our goal is to achieve a middle-...
Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, ...
WACV
2008
IEEE
13 years 11 months ago
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
This paper describes a segmentation method for extracting salient regions in outdoor scenes using both 3-D laser scans and imagery information. Our approach is a bottomup attentiv...
Gunhee Kim, Daniel F. Huber, Martial Hebert