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» A Context-Based Model of Attention
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ICRA
2009
IEEE
174views Robotics» more  ICRA 2009»
14 years 2 months ago
Environment adapted active multi-focal vision system for object detection
— A biologically inspired foveated attention system in an object detection scenario is proposed. Thereby, a highperformance active multi-focal camera system imitates visual behav...
Tingting Xu, Hao Wu, Tianguang Zhang, Kolja Kü...
MM
2003
ACM
124views Multimedia» more  MM 2003»
14 years 28 days ago
Experience based sampling technique for multimedia analysis
We present a novel experience based sampling or experiential sampling technique which has the ability to focus on the analysis’s task by making use of the contextual information...
Jun Wang, Mohan S. Kankanhalli
CRV
2004
IEEE
159views Robotics» more  CRV 2004»
13 years 11 months ago
Attending to Visual Motion: Localizing and Classifying Affine Motion Patterns
The Selective Tuning Model is a proposal for modelling visual attention in primates and humans. This paper describes ongoing research to include attention to motion stimuli within ...
John K. Tsotsos, Marc Pomplun, Julio C. Martinez-T...
WSC
1997
13 years 9 months ago
Application of Simulation to Scheduling, Sequencing, and Material Handling
We describe the application of simulation analysis to a complex operational problem involving scheduling, sequencing, and material-handling decisions. The manufacturing process un...
Edward J. Williams, Ramu Narayanaswamy
APGV
2005
ACM
132views Visualization» more  APGV 2005»
14 years 1 months ago
De-emphasis of distracting image regions using texture power maps
We present a post-processing technique that selectively reduces the salience of distracting regions in an image. Computational models of attention predict that texture variation i...
Sara L. Su, Frédo Durand, Maneesh Agrawala