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» Motion Detection using a Model of Visual Attention
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CVPR
2006
IEEE
14 years 7 months ago
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...
Vidhya Navalpakkam, Laurent Itti
VRST
2009
ACM
13 years 11 months ago
Gaze behavior and visual attention model when turning in virtual environments
In this paper we analyze and try to predict the gaze behavior of users navigating in virtual environments. We focus on first-person navigation in virtual environments which invol...
Sébastien Hillaire, Anatole Lécuyer,...
PAMI
2006
229views more  PAMI 2006»
13 years 4 months ago
A Coherent Computational Approach to Model Bottom-Up Visual Attention
Visual attention is a mechanism which filters out redundant visual information and detects the most relevant parts of our visual field. Automatic determination of the most visually...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
WAPCV
2007
Springer
13 years 11 months ago
Modeling the Dynamics of Feature Binding During Object-Selective Attention
We present a biologically plausible computational model for solving the visual feature binding problem. The binding problem appears to be due to the distributed nature of visual pr...
Albert L. Rothenstein, John K. Tsotsos
ICASSP
2008
IEEE
13 years 11 months ago
Visual-aural attention modeling for talk show video highlight detection
In this paper, we propose a visual-aural attention modeling based video content analysis approach, which can be used to automatically detect the highlights of the popular TV progr...
Yijia Zheng, Guangyu Zhu, Shuqiang Jiang, Qingming...