@inproceedings{b1145fa4539f4b4babedaa41586c6094,
title = "Exploiting the GBVS for saliency aware gaze heatmaps",
abstract = "Analyzing visual perception in scene images is dominated by two different approaches: 1.) Eye Tracking, which allows us to measure the visual focus directly by mapping a detected fixation to a scene image, and 2.) Saliency maps, which predict the perceivability of a scene region by assessing the emitted visual stimulus with respect to the retinal feature extraction. One of the best-known algorithms for calculating saliency maps is GBVS. In this work, we propose a novel visualization method by generating a joint fixation-saliency heatmap. By incorporating a tracked gaze signal into the GBVS, the proposed method equilibrates the fixation frequency and duration to the scene stimulus, and thus visualizes the rate of the extracted visual stimulus by the spectator.",
keywords = "Eye-Tracking, Scene Evaluation, Visual Perception, Visual Stimulus",
author = "David Geisler and Daniel Weber and Nora Castner and Enkelejda Kasneci",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 ; Conference date: 02-06-2020 Through 05-06-2020",
year = "2020",
month = feb,
day = "6",
doi = "10.1145/3379156.3391367",
language = "English",
series = "Eye Tracking Research and Applications Symposium (ETRA)",
publisher = "Association for Computing Machinery",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings ETRA 2020 Short Papers - ACM Symposium on Eye Tracking Research and Applications, ETRA 2020",
}