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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: | http://urn.fi/urn:nbn:fi-fe202003248957 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2019
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| Publish Date: | 2020-03-24 |
| Description: |
AbstractAutomatic 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. see all
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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 |
| OADOI: | https://oadoi.org/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 |
| Subjects: | |
| 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. |
| Copyright information: |
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