MEGC2023: ACM Multimedia 2023 ME Grand Challenge

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

doi:10.1145/3581783.3612833

MEGC2023: ACM Multimedia 2023 ME Grand Challenge

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

^*Corresponding author for this work

School of Mathematical & Computer Sciences

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

1 Citation (Scopus)

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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 weak and transient nature of MEs, it is difficult for models to distinguish it from other types of facial actions. Therefore, ME in long videos is a challenging task, and the current performance cannot meet the practical application requirements. Addressing these issues, this challenge focuses on ME and the macro-expression (MaE) spotting task. This year, in order to evaluate algorithms' performance more fairly, based on CAS(ME)2, SAMM Long Videos, SMIC-E-long, CAS(ME)3 and 4DME, we build an unseen cross-cultural long-video test set. All participating algorithms are required to run on this test set and submit their results on a leaderboard with a baseline result.

Original language	English
Title of host publication	MM '23: Proceedings of the 31st ACM International Conference on Multimedia
Publisher	Association for Computing Machinery
Pages	9625-9629
Number of pages	5
ISBN (Electronic)	9798400701085
DOIs	https://doi.org/10.1145/3581783.3612833
Publication status	Published - 27 Oct 2023
Event	31st ACM International Conference on Multimedia 2023 - Ottawa, Canada Duration: 29 Oct 2023 → 3 Nov 2023

Conference

Conference	31st ACM International Conference on Multimedia 2023
Abbreviated title	MM 2023
Country/Territory	Canada
City	Ottawa
Period	29/10/23 → 3/11/23

Keywords

long videos
micro-expression
spotting

ASJC Scopus subject areas

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

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@inproceedings{7f74899588674c77b5f88d96920cbd46,

title = "MEGC2023: ACM Multimedia 2023 ME 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 weak and transient nature of MEs, it is difficult for models to distinguish it from other types of facial actions. Therefore, ME in long videos is a challenging task, and the current performance cannot meet the practical application requirements. Addressing these issues, this challenge focuses on ME and the macro-expression (MaE) spotting task. This year, in order to evaluate algorithms' performance more fairly, based on CAS(ME)2, SAMM Long Videos, SMIC-E-long, CAS(ME)3 and 4DME, we build an unseen cross-cultural long-video test set. All participating algorithms are required to run on this test set and submit their results on a leaderboard with a baseline result.",

keywords = "long videos, micro-expression, spotting",

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

note = "Funding Information: We would like to thank the ACM MM {\textquoteright}23 conference organisers for agreeing to host our Grand Challenge and for their support. We would also like to thank the CodaLab open-source competition platform for hosting our leaderboard submissions. This work is supported by grants from the National Natural Science Foundation of China (62106256, U19B2032, 62276252, 62076195), the Academy of Finland (Grant 323287), and Ministry of Science and Technology of Taiwan (MOST-109-2223-E-009-002-MY3, MOST-110-2634-F-007-015). Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 31st ACM International Conference on Multimedia 2023, MM 2023 ; Conference date: 29-10-2023 Through 03-11-2023",

year = "2023",

month = oct,

day = "27",

doi = "10.1145/3581783.3612833",

language = "English",

pages = "9625--9629",

booktitle = "MM '23: Proceedings of the 31st ACM International Conference on Multimedia",

publisher = "Association for Computing Machinery",

address = "United States",

}

Davison, AK, Li, J, Yap, MH, See, J, Cheng, WH, Li, X, Hong, X & Wang, SJ 2023, MEGC2023: ACM Multimedia 2023 ME Grand Challenge. in MM '23: Proceedings of the 31st ACM International Conference on Multimedia. Association for Computing Machinery, pp. 9625-9629, 31st ACM International Conference on Multimedia 2023, Ottawa, Ontario, Canada, 29/10/23. https://doi.org/10.1145/3581783.3612833

TY - GEN

T1 - MEGC2023

T2 - 31st ACM International Conference on Multimedia 2023

AU - Davison, Adrian K.

AU - Li, Jingting

AU - Yap, Moi Hoon

AU - See, John

AU - Cheng, Wen Huang

AU - Li, Xiaobai

AU - Hong, Xiaopeng

AU - Wang, Su Jing

N1 - Funding Information: We would like to thank the ACM MM ’23 conference organisers for agreeing to host our Grand Challenge and for their support. We would also like to thank the CodaLab open-source competition platform for hosting our leaderboard submissions. This work is supported by grants from the National Natural Science Foundation of China (62106256, U19B2032, 62276252, 62076195), the Academy of Finland (Grant 323287), and Ministry of Science and Technology of Taiwan (MOST-109-2223-E-009-002-MY3, MOST-110-2634-F-007-015). Publisher Copyright: © 2023 Owner/Author.

PY - 2023/10/27

Y1 - 2023/10/27

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 weak and transient nature of MEs, it is difficult for models to distinguish it from other types of facial actions. Therefore, ME in long videos is a challenging task, and the current performance cannot meet the practical application requirements. Addressing these issues, this challenge focuses on ME and the macro-expression (MaE) spotting task. This year, in order to evaluate algorithms' performance more fairly, based on CAS(ME)2, SAMM Long Videos, SMIC-E-long, CAS(ME)3 and 4DME, we build an unseen cross-cultural long-video test set. All participating algorithms are required to run on this test set and submit their results on a leaderboard with a baseline result.

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 weak and transient nature of MEs, it is difficult for models to distinguish it from other types of facial actions. Therefore, ME in long videos is a challenging task, and the current performance cannot meet the practical application requirements. Addressing these issues, this challenge focuses on ME and the macro-expression (MaE) spotting task. This year, in order to evaluate algorithms' performance more fairly, based on CAS(ME)2, SAMM Long Videos, SMIC-E-long, CAS(ME)3 and 4DME, we build an unseen cross-cultural long-video test set. All participating algorithms are required to run on this test set and submit their results on a leaderboard with a baseline result.

KW - long videos

KW - micro-expression

KW - spotting

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U2 - 10.1145/3581783.3612833

DO - 10.1145/3581783.3612833

M3 - Conference contribution

AN - SCOPUS:85179556060

SP - 9625

EP - 9629

BT - MM '23: Proceedings of the 31st ACM International Conference on Multimedia

PB - Association for Computing Machinery

Y2 - 29 October 2023 through 3 November 2023

ER -

MEGC2023: ACM Multimedia 2023 ME Grand Challenge

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Conference

Keywords

ASJC Scopus subject areas

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