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Proceedings Paper

A study of human recognition rates for foveola-sized image patches selected from initial and final fixations on calibrated natural images
Author(s): Ian van der Linde; Umesh Rajashekar; Lawrence K. Cormack; Alan C. Bovik
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Paper Abstract

Recent years have seen a resurgent interest in eye movements during natural scene viewing. Aspects of eye movements that are driven by low-level image properties are of particular interest due to their applicability to biologically motivated artificial vision and surveillance systems. In this paper, we report an experiment in which we recorded observers’ eye movements while they viewed calibrated greyscale images of natural scenes. Immediately after viewing each image, observers were shown a test patch and asked to indicate if they thought it was part of the image they had just seen. The test patch was either randomly selected from a different image from the same database or, unbeknownst to the observer, selected from either the first or last location fixated on the image just viewed. We find that several low-level image properties differed significantly relative to the observers’ ability to successfully designate each patch. We also find that the differences between patch statistics for first and last fixations are small compared to the differences between hit and miss responses. The goal of the paper was to, in a non-cognitive natural setting, measure the image properties that facilitate visual memory, additionally observing the role that temporal location (first or last fixation) of the test patch played. We propose that a memorability map of a complex natural scene may be constructed to represent the low-level memorability of local regions in a similar fashion to the familiar saliency map, which records bottom-up fixation attractors.

Paper Details

Date Published: 18 March 2005
PDF: 12 pages
Proc. SPIE 5666, Human Vision and Electronic Imaging X, (18 March 2005); doi: 10.1117/12.594711
Show Author Affiliations
Ian van der Linde, Anglia Polytechnic Univ. (United Kingdom)
Umesh Rajashekar, Univ. of Texas at Austin (United States)
Lawrence K. Cormack, Univ. of Texas at Austin (United States)
Alan C. Bovik, Univ. of Texas at Austin (United States)


Published in SPIE Proceedings Vol. 5666:
Human Vision and Electronic Imaging X
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly, Editor(s)

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