Abstract | ||
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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.
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Year | DOI | Venue |
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2020 | 10.1145/3379156.3391367 | ETRA '20: 2020 Symposium on Eye Tracking Research and Applications
Stuttgart
Germany
June, 2020 |
Keywords | DocType | ISBN |
Eye-Tracking, Visual Stimulus, Visual Perception, Scene Evaluation | Conference | 978-1-4503-7134-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
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David Geisler | 1 | 18 | 3.70 |
Daniel Weber | 2 | 0 | 0.34 |
Nora Castner | 3 | 0 | 1.69 |
Enkelejda Kasneci | 4 | 202 | 33.86 |