MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge

Jingting Li; Moi Hoon Yap; Wen Huang Cheng; John See; Xiaopeng Hong; Xiaobai Li; Su-Jing Wang; Adrian K. Davison; Yante Li; Zizhao Dong

doi:10.1145/3503161.3551601

MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge

Jingting Li, Moi Hoon Yap, Wen Huang Cheng, John See, Xiaopeng Hong, Xiaobai Li, Su-Jing Wang^*, Adrian K. Davison, Yante Li, Zizhao Dong

^*Corresponding author for this work

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the facial expression, typically found in a high-stakes environment. Unfortunately, the small sample problem severely limits the automation of ME analysis. Furthermore, due to the brief and subtle nature of ME, ME spotting is a challenging task, and the performance is still not satisfactory yet. This challenge focuses on two tasks, i.e., the micro- and macro-expression spotting task, and the ME Generation task.

Original language	English
Title of host publication	MM '22: Proceedings of the 30th ACM International Conference on Multimedia
Publisher	Association for Computing Machinery
Pages	7170-7174
Number of pages	5
ISBN (Electronic)	9781450392037
DOIs	https://doi.org/10.1145/3503161.3551601
Publication status	Published - 10 Oct 2022
Event	30th ACM International Conference on Multimedia 2022 - Lisbon, Portugal Duration: 10 Oct 2022 → 14 Oct 2022

Conference

Conference	30th ACM International Conference on Multimedia 2022
Abbreviated title	MM 2022
Country/Territory	Portugal
City	Lisbon
Period	10/10/22 → 14/10/22

Keywords

generation
micro-expression
spotting

ASJC Scopus subject areas

Artificial Intelligence
Computer Graphics and Computer-Aided Design
Human-Computer Interaction
Software

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10.1145/3503161.3551601Licence: CC BY

Cite this

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title = "MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge",

abstract = "Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the facial expression, typically found in a high-stakes environment. Unfortunately, the small sample problem severely limits the automation of ME analysis. Furthermore, due to the brief and subtle nature of ME, ME spotting is a challenging task, and the performance is still not satisfactory yet. This challenge focuses on two tasks, i.e., the micro- and macro-expression spotting task, and the ME Generation task.",

keywords = "generation, micro-expression, spotting",

author = "Jingting Li and Yap, {Moi Hoon} and Cheng, {Wen Huang} and John See and Xiaopeng Hong and Xiaobai Li and Su-Jing Wang and Davison, {Adrian K.} and Yante Li and Zizhao Dong",

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 30th ACM International Conference on Multimedia 2022, MM 2022 ; Conference date: 10-10-2022 Through 14-10-2022",

year = "2022",

month = oct,

day = "10",

doi = "10.1145/3503161.3551601",

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Li, J, Yap, MH, Cheng, WH, See, J, Hong, X, Li, X, Wang, S-J, Davison, AK, Li, Y & Dong, Z 2022, MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge. in MM '22: Proceedings of the 30th ACM International Conference on Multimedia. Association for Computing Machinery, pp. 7170-7174, 30th ACM International Conference on Multimedia 2022, Lisbon, Portugal, 10/10/22. https://doi.org/10.1145/3503161.3551601

TY - GEN

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T2 - 30th ACM International Conference on Multimedia 2022

AU - Li, Jingting

AU - Yap, Moi Hoon

AU - Cheng, Wen Huang

AU - See, John

AU - Hong, Xiaopeng

AU - Li, Xiaobai

AU - Wang, Su-Jing

AU - Davison, Adrian K.

AU - Li, Yante

AU - Dong, Zizhao

PY - 2022/10/10

Y1 - 2022/10/10

N2 - Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the facial expression, typically found in a high-stakes environment. Unfortunately, the small sample problem severely limits the automation of ME analysis. Furthermore, due to the brief and subtle nature of ME, ME spotting is a challenging task, and the performance is still not satisfactory yet. This challenge focuses on two tasks, i.e., the micro- and macro-expression spotting task, and the ME Generation task.

AB - Facial micro-expressions (MEs) are involuntary movements of the face that occur spontaneously when a person experiences an emotion but attempts to suppress or repress the facial expression, typically found in a high-stakes environment. Unfortunately, the small sample problem severely limits the automation of ME analysis. Furthermore, due to the brief and subtle nature of ME, ME spotting is a challenging task, and the performance is still not satisfactory yet. This challenge focuses on two tasks, i.e., the micro- and macro-expression spotting task, and the ME Generation task.

KW - generation

KW - micro-expression

KW - spotting

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DO - 10.1145/3503161.3551601

M3 - Conference contribution

AN - SCOPUS:85151127078

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EP - 7174

BT - MM '22: Proceedings of the 30th ACM International Conference on Multimedia

PB - Association for Computing Machinery

Y2 - 10 October 2022 through 14 October 2022

ER -

MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge

Abstract

Conference

Keywords

ASJC Scopus subject areas

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