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New insights into ambient and focal visual fixations using an automatic classification algorithm

Overt visual attention is the act of directing the eyes toward a given area. These eye movements are characterised by saccades and fixations. A debate currently surrounds the role of visual fixations. Do they all have the same role in the free viewing of natural scenes? Recent studies suggest that a...

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Detalles Bibliográficos
Autores principales: Follet, Brice, Le Meur, Olivier, Baccino, Thierry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pion 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485802/
https://www.ncbi.nlm.nih.gov/pubmed/23145248
http://dx.doi.org/10.1068/i0414
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author Follet, Brice
Le Meur, Olivier
Baccino, Thierry
author_facet Follet, Brice
Le Meur, Olivier
Baccino, Thierry
author_sort Follet, Brice
collection PubMed
description Overt visual attention is the act of directing the eyes toward a given area. These eye movements are characterised by saccades and fixations. A debate currently surrounds the role of visual fixations. Do they all have the same role in the free viewing of natural scenes? Recent studies suggest that at least two types of visual fixations exist: focal and ambient. The former is believed to be used to inspect local areas accurately, whereas the latter is used to obtain the context of the scene. We investigated the use of an automated system to cluster visual fixations in two groups using four types of natural scene images. We found new evidence to support a focal–ambient dichotomy. Our data indicate that the determining factor is the saccade amplitude. The dependence on the low-level visual features and the time course of these two kinds of visual fixations were examined. Our results demonstrate that there is an interplay between both fixation populations and that focal fixations are more dependent on low-level visual features than are ambient fixations.
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spelling pubmed-34858022012-11-09 New insights into ambient and focal visual fixations using an automatic classification algorithm Follet, Brice Le Meur, Olivier Baccino, Thierry Iperception Research Article Overt visual attention is the act of directing the eyes toward a given area. These eye movements are characterised by saccades and fixations. A debate currently surrounds the role of visual fixations. Do they all have the same role in the free viewing of natural scenes? Recent studies suggest that at least two types of visual fixations exist: focal and ambient. The former is believed to be used to inspect local areas accurately, whereas the latter is used to obtain the context of the scene. We investigated the use of an automated system to cluster visual fixations in two groups using four types of natural scene images. We found new evidence to support a focal–ambient dichotomy. Our data indicate that the determining factor is the saccade amplitude. The dependence on the low-level visual features and the time course of these two kinds of visual fixations were examined. Our results demonstrate that there is an interplay between both fixation populations and that focal fixations are more dependent on low-level visual features than are ambient fixations. Pion 2011-10-14 /pmc/articles/PMC3485802/ /pubmed/23145248 http://dx.doi.org/10.1068/i0414 Text en Copyright © 2011 B Follet, O LeMeur, T Baccino http://creativecommons.org/licenses/by-nc-nd/3.0/ This open-access article is distributed under a Creative Commons Licence, which permits noncommercial use, distribution, and reproduction, provided the original author(s) and source are credited and no alterations are made.
spellingShingle Research Article
Follet, Brice
Le Meur, Olivier
Baccino, Thierry
New insights into ambient and focal visual fixations using an automatic classification algorithm
title New insights into ambient and focal visual fixations using an automatic classification algorithm
title_full New insights into ambient and focal visual fixations using an automatic classification algorithm
title_fullStr New insights into ambient and focal visual fixations using an automatic classification algorithm
title_full_unstemmed New insights into ambient and focal visual fixations using an automatic classification algorithm
title_short New insights into ambient and focal visual fixations using an automatic classification algorithm
title_sort new insights into ambient and focal visual fixations using an automatic classification algorithm
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3485802/
https://www.ncbi.nlm.nih.gov/pubmed/23145248
http://dx.doi.org/10.1068/i0414
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