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Authors: Tien Ho-Phuoc ; Anne Guérin-Dugué and Nathalie Guyader

Affiliation: GIPSA-lab/Department of Images and Signals, France

Keyword(s): Saccade programming, saliency map, spatially variant retinal resolution.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Cybernetics and User Interface Technologies ; Devices ; Human-Computer Interaction ; Information and Systems Security ; Physiological Computing Systems ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics ; Soft Computing

Abstract: Saliency models have showed the ability of predicting where human eyes fixate when looking at images. However, few models are interested in saccade programming strategies. We proposed a biologically-inspired model to compute image saliency maps. Based on these saliency maps, we compared three different saccade programming models depending on the number of programmed saccades. The results showed that the strategy of programming one saccade at a time from the foveated point best matches the experimental data from free viewing of natural images. Because saccade programming models depend on the foveated point where the image is viewed at the highest resolution, we took into account the spatially variant retinal resolution. We showed that the predicted eye fixations were more effective when this retinal resolution was combined with the saccade programming strategies.

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Paper citation in several formats:
Ho-Phuoc, T.; Guérin-Dugué, A. and Guyader, N. (2009). A COMPUTATIONAL SALIENCY MODEL INTEGRATING SACCADE PROGRAMMING. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS; ISBN 978-989-8111-65-4; ISSN 2184-4305, SciTePress, pages 57-64. DOI: 10.5220/0001535500570064

@conference{biosignals09,
author={Tien Ho{-}Phuoc. and Anne Guérin{-}Dugué. and Nathalie Guyader.},
title={A COMPUTATIONAL SALIENCY MODEL INTEGRATING SACCADE PROGRAMMING},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS},
year={2009},
pages={57-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001535500570064},
isbn={978-989-8111-65-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS
TI - A COMPUTATIONAL SALIENCY MODEL INTEGRATING SACCADE PROGRAMMING
SN - 978-989-8111-65-4
IS - 2184-4305
AU - Ho-Phuoc, T.
AU - Guérin-Dugué, A.
AU - Guyader, N.
PY - 2009
SP - 57
EP - 64
DO - 10.5220/0001535500570064
PB - SciTePress

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