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ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Human attention model for semantic scene analysis in movies
In this paper, we specifically propose the Weber-Fechner Law-based human attention model for semantic scene analysis in movies. Different from traditional video processing techniq...
Anan Liu, Yongdong Zhang, Yan Song, Dongming Zhang...
ICIP
2003
IEEE
14 years 6 months ago
Top-down control of visual attention in object detection
Current computational models of visual attention focus on bottom-up information and ignore scene context. However, studies in visual cognition show that humans use context to faci...
Aude Oliva, Antonio B. Torralba, Monica S. Castelh...
IWINAC
2005
Springer
13 years 10 months ago
Model Performance for Visual Attention in Real 3D Color Scenes
Abstract. Visual attention is the ability of a vision system, be it biological or artificial, to rapidly detect potentially relevant parts of a visual scene. The saliency-based mo...
Heinz Hügli, Timothée Jost, Nabil Ouer...
ICASSP
2008
IEEE
13 years 11 months ago
A top-down auditory attention model for learning task dependent influences on prominence detection in speech
A top-down task-dependent model guides attention to likely target locations in cluttered scenes. Here, a novel biologically plausible top-down auditory attention model is presente...
Ozlem Kalinli, Shrikanth S. Narayanan
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