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» Combined visual attention model for video sequences
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CVPR
2006
IEEE
14 years 10 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
PAMI
2011
13 years 3 months ago
Multiperson Visual Focus of Attention from Head Pose and Meeting Contextual Cues
—This paper introduces a novel contextual model for the recognition of people’s visual focus of attention (VFOA) in meetings from audio-visual perceptual cues. More specificall...
Sileye O. Ba, Jean-Marc Odobez
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
14 years 3 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...
SCIA
2005
Springer
211views Image Analysis» more  SCIA 2005»
14 years 2 months ago
Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...
Lucas Paletta, Gerald Fritz, Christin Seifert
WIAMIS
2009
IEEE
14 years 3 months ago
Feature-based video key frame extraction for low quality video sequences
We present an approach to key frame extraction for structuring user generated videos on video sharing websites (e. g. YouTube). Our approach is intended to link existing image sea...
Pascal Kelm, Sebastian Schmiedeke, Thomas Sikora