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» A Context-Based Model of Attention
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ICPR
2008
IEEE
14 years 2 months ago
Adaptive semantic Bayesian framework for image attention
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...
Wei Zhang, Q. M. Jonathan Wu, Guanghui Wang
ICMCS
2007
IEEE
150views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Highlight Ranking for Racquet Sports Video in User Attention Subspaces Based on Relevance Feedback
In this paper, we propose a method to rank the highlights of broadcast racquet sports videos. Compared with previous work, we integrate relevance feedback into highlight ranking f...
Yijia Zheng, Guangyu Zhu, Shuqiang Jiang, Qingming...
ARVLSI
1999
IEEE
92views VLSI» more  ARVLSI 1999»
13 years 12 months ago
A Two-Dimensional, Object-Based Analog VLSI Visual Attention System
A two-dimensional object-based analog VLSI model of selective attentional processing has been
Charles S. Wilson, Tonia G. Morris, Stephen P. DeW...
NIPS
2008
13 years 9 months ago
Dynamic visual attention: searching for coding length increments
A visual attention system should respond placidly when common stimuli are presented, while at the same time keep alert to anomalous visual inputs. In this paper, a dynamic visual ...
Xiaodi Hou, Liqing Zhang
ICRA
2009
IEEE
204views Robotics» more  ICRA 2009»
14 years 2 months ago
A high-speed multi-GPU implementation of bottom-up attention using CUDA
— In this paper a novel implementation of the saliency map model on a multi-GPU platform using CUDA technology is presented. The saliency map model is a wellknown computational m...
Tingting Xu, Thomas Pototschnig, Kolja Kühnle...