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» Selecting What Is Important: Training Visual Attention
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92
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KI
2005
Springer
15 years 5 months ago
Selecting What Is Important: Training Visual Attention
We present a new, sophisticated algorithm to select suitable training images for our biologically motivated attention system VOCUS. The system detects regions of interest depending...
Simone Frintrop, Gerriet Backer, Erich Rome
109
Voted

Publication
179views
15 years 3 months ago
AutoSelect: What You Want Is What You Get Real-Time Processing of Visual Attention and Affect
While objects of our focus of attention (“where we are looking at”) and accompanying affective responses to those objects is part of our daily experience, little research exis...
Nikolaus Bee, Helmut Prendinger, Arturo Nakasone, ...
114
Voted
DAGSTUHL
2006
15 years 1 months ago
Cognitive Vision Needs Attention to Link Sensing with Recognition
Abstract. "Cognitive computer vision is concerned with integration and control of vision systems using explicit but not necessarily symbolic models of context, situation and g...
John K. Tsotsos
99
Voted
JOCN
2010
104views more  JOCN 2010»
14 years 10 months ago
Spatial Attention Evokes Similar Activation Patterns for Visual and Auditory Stimuli
■ Neuroimaging studies suggest that a fronto-parietal network is activated when we expect visual information to appear at a specific spatial location. Here we examined whether a...
David V. Smith, Ben Davis, Kathy Niu, Eric W. Heal...
ICIP
2005
IEEE
16 years 1 months ago
A spatio-temporal model of the selective human visual attention
A new spatio-temporal model for simulating the bottomup visual attention is proposed. It has been built from numerous important properties of the Human Visual System (HVS). This p...
Olivier Le Meur, Dominique Thoreau, Patrick Le Cal...