Combining conspicuity maps for hROIs prediction

Authors:
Claudio M. Privitera;Orazio Gallo;Giorgio Grimoldi;Toyomi Fujita;Lawrence W. Stark
Affiliations:
Neurology and Telerobotics Units, Optometry School, University of California, Berkeley, CA;Department of Bioengineering of Politecnico di Milano, Milan;Department of Bioengineering of Politecnico di Milano, Milan;Neurology and Telerobotics Units, Optometry School, University of California, Berkeley, CA;Neurology and Telerobotics Units, Optometry School, University of California, Berkeley, CA
Venue:
WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision
Year:
2004

Citing 8
Cited 0

Controlling eye movements with hidden Markov models

International Journal of Computer Vision
Image and brain: the resolution of the imagery debate

Image and brain: the resolution of the imagery debate
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Radial Symmetry for Detecting Points of Interest

IEEE Transactions on Pattern Analysis and Machine Intelligence
Spontaneous eye movements during visual imagery reflect the content of the visual scene

Journal of Cognitive Neuroscience
Top-down guided eye movements

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Human-vision-based selection of image processing algorithms for planetary exploration

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Bottom-up cortical representations of visual conspicuity interact with top-down internal cognitive models of the external world to control eye movements, EMs, and the closely linked attention-shift mechanisms; to thus achieve visual recognition. Conspicuity operators implemented with image processing algorithms, IPAs, can discriminate human Regions-of-Interest, hROIs, the loci of eye fixations, from the rest of the visual stimulus that is not visited during the EM process. This discrimination generates predictability of the hROIs. Further, a combination of IPA-generated conspicuity maps can be used to achieve improved performance over each of the individual composing maps in terms of hROI predictions.