Evidence map›Paper›PMID 33946830›Full record

ArticleSensors (Basel, Switzerland)2021

Glimpse: A Gaze-Based Measure of Temporal Salience.

V Javier Traver, Judith Zorío, Luis A Leiva

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Brainsourcing for temporal visual attention estimation.Biomedical engineering letters · 2025
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

V Javier TraverInstitute of New Imaging Technologies, Universitat Jaume I, Av. Vicent Sos Baynat, s/n, E12071 Castellón, Spain.ORCID 0000-0002-1596-8466
Judith ZoríoUniversitat Jaume I, Av. Vicent Sos Baynat, s/n, E12071 Castellón, Spain.
Luis A LeivaDepartment of Computer Science, University of Luxembourg, Belval, 6 Avenue de la Fonte, L-4264 Esch-sur-Alzette, Luxembourg.ORCID 0000-0002-5011-1847

Funding

Ministerio de Ciencia, Innovación y Universidades RED2018- 102511-TUniversitat Jaume I UJI-B2018-44
6 · The paper itself

Abstract

Temporal salience considers how visual attention varies over time. Although visual salience has been widely studied from a spatial perspective, its temporal dimension has been mostly ignored, despite arguably being of utmost importance to understand the temporal evolution of attention on dynamic contents. To address this gap, we proposed Glimpse, a novel measure to compute temporal salience based on the observer-spatio-temporal consistency of raw gaze data. The measure is conceptually simple, training free, and provides a semantically meaningful quantification of visual attention over time. As an extension, we explored scoring algorithms to estimate temporal salience from spatial salience maps predicted with existing computational models. However, these approaches generally fall short when compared with our proposed gaze-based measure. Glimpse could serve as the basis for several downstream tasks such as segmentation or summarization of videos. Glimpse's software and data are publicly available.

Indexed as

eye-gazesalience mapstemporal saliencevideovisual attention

Identifiers

PMID33946830
PMCPMC8125412

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.