<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-18T07:43:48Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2072/470926" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2072/470926</identifier><datestamp>2025-06-12T11:08:04Z</datestamp><setSpec>com_2072_98</setSpec><setSpec>col_2072_378192</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>A Spatio-Temporal Spotting Network with Sliding Windows for Micro-Expression Detection</dc:title>
   <dc:creator>Fu, Wenwen</dc:creator>
   <dc:creator>An, Zhihong</dc:creator>
   <dc:creator>Huang, Wendong</dc:creator>
   <dc:creator>Sun, Haoran</dc:creator>
   <dc:creator>Gong, Wenjuan</dc:creator>
   <dc:creator>Gonzàlez, Jordi</dc:creator>
   <dc:description>Micro-expressions reveal underlying emotions and are widely applied in political psychology, lie detection, law enforcement and medical care. Micro-expression spotting aims to detect the temporal locations of facial expressions from video sequences and is a crucial task in micro-expression recognition. In this study, the problem of micro-expression spotting is formulated as micro-expression classification per frame. We propose an effective spotting model with sliding windows called the spatio-temporal spotting network. The method involves a sliding window detection mechanism, combines the spatial features from the local key frames and the global temporal features and performs micro-expression spotting. The experiments are conducted on the CAS(ME) (Formula presented.) database and the SAMM Long Videos database, and the results demonstrate that the proposed method outperforms the state-of-the-art method by (Formula presented.) for the CAS(ME) (Formula presented.) and (Formula presented.) for the SAMM Long Videos according to overall F-scores.</dc:description>
   <dc:date>2023</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>https://ddd.uab.cat/record/283634</dc:identifier>
   <dc:identifier>urn:10.3390/electronics12183947</dc:identifier>
   <dc:identifier>urn:oai:ddd.uab.cat:283634</dc:identifier>
   <dc:identifier>urn:scopus_id:85172883610</dc:identifier>
   <dc:identifier>urn:articleid:20799292v12n18p3947</dc:identifier>
   <dc:identifier>urn:oai:egreta.uab.cat:publications/eb4571bd-f03b-48be-8c94-f055c559d4cb</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Agencia Estatal de Investigación PID2020-120311RB-I00</dc:relation>
   <dc:relation>Electronics ; Vol. 12, Issue 18 (September 2023), art. 3947</dc:relation>
   <dc:rights>open access</dc:rights>
   <dc:rights>Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher/>
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