University of Oulu

J. See, M. H. Yap, J. Li, X. Hong and S. Wang, "MEGC 2019 – The Second Facial Micro-Expressions Grand Challenge," 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), Lille, France, 2019, pp. 1-5. doi: 10.1109/FG.2019.8756611

MEGC 2019 : the second facial micro-expressions grand challenge

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Author: See, John1; Yap, Moi Hoon2; Li, Jingting3;
Organizations: 1Faculty of Computing and Informatics, Multimedia University, Malaysia
2Faculty of Science and Engineering, Manchester Metropolitan University, UK
3CentraleSuplec, CNRS, IETR, UMR 6164, F-35000 Rennes, France
4Center for Machine Vision and Signal Analysis, University of Oulu, Finland
5Key Laboratory of Behavior Sciences, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-03-24


Automatic facial micro-expression (ME) analysis is a growing field of research that has gained much attention in the last five years. With many recent works testing on limited data, there is a need to spur better approaches that are both robust and effective. This paper summarises the 2nd Facial Micro-Expression Grand Challenge (MEGC 2019) held in conjunction with the 14th IEEE Conference on Automatic Face and Gesture Recognition (FG) 2019. In this workshop, we proposed challenges for two micro-expression (ME) tasks- spotting and recognition, with the aim of encouraging rigorous evaluation and development of new robust techniques that can accommodate data captured across a variety of settings. In this paper, we outline the evaluation protocols for the two challenge tasks, the datasets involved, and an analysis of the best performing works from the participating teams, together with a summary of results. Finally, we highlight some possible future directions.

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ISBN: 978-1-72810-089-0
ISBN Print: 978-1-7281-0090-6
Pages: 1 - 5
Article number: 8756611
DOI: 10.1109/FG.2019.8756611
Host publication: 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019, 14-18 May 2019, Lille, France
Conference: IEEE International Conference on Automatic Face and Gesture Recognition
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Funding: We would like to thank Image Metrics Ltd for sponsoring the prizes for the challenge winners. The workshop chairs would like to thank their funders: National Natural Science Foundation of China (61772511, 61472138, 61572205), The UK Royal Society Industry Fellowship (IF160006), MOHE Malaysia Grant No. FRGS/1/2016/ICT02/MMU/02/2, Shanghai ’The Belt and Road’ Young Scholar Exchange Grant (17510740100), Academic of Finland, Tekes, Infotech Oulu, China scholarship council and ANR Reflet.
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