Evidence map›Paper›PMID 34460518›Full record

ArticleJournal of imaging2021

A Fast Preprocessing Method for Micro-Expression Spotting via Perceptual Detection of Frozen Frames.

Vittoria Bruni, Domenico Vitulano

Open access · goldAbstract read
In one paragraph

Article in Journal of imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Vittoria BruniDepartment of Basic and Applied Sciences for Engineering, "La Sapienza" Rome University, Via A. Scarpa 14-16, 00161 Rome, Italy.ORCID 0000-0003-3909-7463
Domenico VitulanoDepartment of Basic and Applied Sciences for Engineering, "La Sapienza" Rome University, Via A. Scarpa 14-16, 00161 Rome, Italy.ORCID 0000-0001-6088-9743
Istituto per le Applicazioni del Calcolo Mauro Picone · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a preliminary study concerning a fast preprocessing method for facial microexpression (ME) spotting in video sequences. The rationale is to detect frames containing frozen expressions as a quick warning for the presence of MEs. In fact, those frames can either precede or follow (or both) MEs according to ME type and the subject's reaction. To that end, inspired by the Adelson-Bergen motion energy model and the instinctive nature of the preattentive vision, global visual perception-based features were employed for the detection of frozen frames. Preliminary results achieved on both controlled and uncontrolled videos confirmed that the proposed method is able to correctly detect frozen frames and those revealing the presence of nearby MEs-independently of ME kind and facial region. This property can then contribute to speeding up and simplifying the ME spotting process, especially during long video acquisitions.

Indexed as

facial microexpressionsmotion energypreattentive visionspatio-temporal filteringstandard deviation

Identifiers

PMID34460518
PMCPMC8321339
OpenAlexW3140301205

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.