Attention in Cognitive Systems

by Paletta, Lucas; Tsotsos, John

• ISBN13: 9783642005817
• ISBN10: 3642005810
• Format: Paperback
• Copyright: 2009-04-01
• Publisher: Springer-Verlag New York Inc

Summary

This volume constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Attention in Cognitive Systems, WAPCV 2008, held in Fira, Santorini, Greece in May 2008 as an associated event of the 6th International Conference on Computer Vision Systems (ICVS 2008).The 13 revised full papers presented together with with 9 posters, have been carefully selected from 34 submissions. The papers are organized in topical sections on attention in scene exploration, contextueal cueing and saliency, spatiotemporal saliency, attentional networks as well as attentional modelling.

Table of Contents

Attention in Scene Exploration
On the Optimality of Spatial Attention for Object Detection	p. 1
Decoding What People See from Where They Look: Predicting Visual Stimuli from Scanpaths	p. 15
A Novel Hierarchical Framework for Object-Based Visual Attention	p. 27
Where Do We Grasp Objects? - An Experimental Verification of the Selective Attention for Action Model (SAAM)	p. 41
Contextual Cueing and Saliency
Integrating Visual Context and Object Detection within a Probabilistic Framework	p. 54
The Time Course of Attentional Guidance in Contextual Cueing	p. 69
Conspicuity and Congruity in Change Detection	p. 85
Spatiotemporal Saliency
Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency	p. 98
Motion Saliency Maps from Spatiotemporal Filtering	p. 112
Attentional Networks
Model Based Analysis of fMRI-Data: Applying the sSoTS Framework to the Neural Basic of Preview Search	p. 124
Modelling the Efficiencies and Interactions of Attentional Networks	p. 139
The Jamf Attention Modelling Framework	p. 153
Attentional Modeling
Modeling Attention and Perceptual Grouping to Salient Objects	p. 166
Attention Mechanisms in the Chrest Cognitive Architecture	p. 183
Modeling the Interactions of Bottom-Up and Top-Down Guidance in Visual Attention	p. 197
Relative Influence of Bottom-Up and Top-Down Attention	p. 212
Towards Standardization of Evaluation Metrics and Methods for Visual Attention Models	p. 227
Comparing Learning Attention Control in Perceptual and Decision Space	p. 242
Automated Visual Attention Manipulation	p. 257
Author Index	p. 273
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