Exploiting the GBVS for saliency aware gaze heatmaps

David Geisler, Daniel Weber, Nora Castner, Enkelejda Kasneci

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings ETRA 2020 Short Papers - ACM Symposium on Eye Tracking Research and Applications, ETRA 2020
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450371346
DOIs
StatePublished - 6 Feb 2020
Externally publishedYes
Event2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 - Stuttgart, Germany
Duration: 2 Jun 20205 Jun 2020

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)

Conference

Conference2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020
Country/TerritoryGermany
CityStuttgart
Period2/06/205/06/20

Keywords

  • Eye-Tracking
  • Scene Evaluation
  • Visual Perception
  • Visual Stimulus

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