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Related Experiment Video

Updated: Jun 26, 2026

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

Glimpse: A Gaze-Based Measure of Temporal Salience.

V Javier Traver¹, Judith Zorío², Luis A Leiva³

¹Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicent Sos Baynat, s/n, E12071 Castellón, Spain.

Sensors (Basel, Switzerland)

|May 5, 2021

Summary

We introduce Glimpse, a new method for measuring temporal salience using gaze data. This approach quantifies visual attention over time, outperforming existing models for dynamic content analysis.

Keywords:

eye-gaze salience maps temporal salience video visual attention

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Area of Science:

Computer Vision
Human-Computer Interaction
Cognitive Science

Background:

Visual salience research has predominantly focused on spatial aspects, neglecting the critical temporal dimension of attention.
Understanding how attention evolves over time is crucial for analyzing dynamic visual content.

Purpose of the Study:

To introduce Glimpse, a novel computational measure for quantifying temporal visual salience.
To provide a gaze-based method for analyzing the temporal dynamics of visual attention.

Main Methods:

Developed Glimpse, a measure based on observer-spatio-temporal consistency of raw gaze data.
Explored scoring algorithms for estimating temporal salience from existing spatial salience models.

Main Results:

Glimpse offers a simple, training-free quantification of temporal visual attention.
Gaze-based temporal salience measurement significantly outperforms methods relying on predicted spatial salience maps.

Conclusions:

Glimpse effectively captures the temporal evolution of visual attention in dynamic scenes.
The proposed measure has potential applications in video segmentation and summarization, with publicly available software and data.