MEGC2022: ACM Multimedia 2022 Micro-Expression Grand Challenge
Li, Jingting; Yap, Moi Hoon; Cheng, Wen-Huang; See, John; Hong, Xiaopeng; Li, Xiaobai; Wang, Su-Jing; Davison, Adrian K.; Li, Yante; Dong, Zizhao (2022-10-10)
ACM
10.10.2022
Li, J., Yap, M. H., Cheng, W.-H., See, J., Hong, X., Li, X., Wang, S.-J., Davison, A. K., Li, Y., & Dong, Z. (2022). Megc2022: Acm multimedia 2022 micro-expression grand challenge. Proceedings of the 30th ACM International Conference on Multimedia, 7170–7174. https://doi.org/10.1145/3503161.3551601
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© 2022 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License.
https://creativecommons.org/licenses/by/4.0/
© 2022 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution International 4.0 License.
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202403212357
https://urn.fi/URN:NBN:fi:oulu-202403212357
Tiivistelmä
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.
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.
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