Maps of Visual Importance
Xi Wang, Marc Alexa

TL;DR
This paper introduces a novel method to identify visually important elements in images by analyzing eye movements during image recall, revealing that certain fixations relate to memory rather than attention.
Contribution
It proposes a deformation mapping technique to filter fixations based on recall exploration, offering a new way to measure visual importance beyond attention-based fixations.
Findings
Certain scene elements are filtered out, indicating they are less important.
Recall fixations are only qualitatively related to exploration fixations.
The method provides a controllable filter for visual importance analysis.
Abstract
The importance of an element in a visual stimulus is commonly associated with the fixations during a free-viewing task. We argue that fixations are not always correlated with attention or awareness of visual objects. We suggest to filter the fixations recorded during exploration of the image based on the fixations recorded during recalling the image against a neutral background. This idea exploits that eye movements are a spatial index into the memory of a visual stimulus. We perform an experiment in which we record the eye movements of 30 observers during the presentation and recollection of 100 images. The locations of fixations during recall are only qualitatively related to the fixations during exploration. We develop a deformation mapping technique to align the fixations from recall with the fixation during exploration. This allows filtering the fixations based on proximity and a…
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Taxonomy
TopicsVisual Attention and Saliency Detection · Gaze Tracking and Assistive Technology · Visual perception and processing mechanisms
