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Authors: Jingting Li ; Catherine Soladie and Renaud Seguier

Affiliation: FAST Research Team, CENTRALESUPELEC/IETR, Rennes, France

ISBN: 978-989-758-354-4

Keyword(s): Micro-Expression, Database, Result Evaluation, Survey.

Abstract: Micro-expression (ME) is a brief local spontaneous facial expression and an important non-verbal clue to revealing genuine emotion. The study on automatic detection and recognition of ME has been emerging in the last decade. However, the research is restricted by the number of ME databases. In this paper, we propose a survey based on the 15 existing ME databases. Firstly, the databases are analyzed by 13 characteristics grouped into four categories (population, hardware, experimental protocol, and annotation). These characteristics provide a reference not only for choosing a database for special ME analysis purpose but also for future database construction. Concerning the ME analysis based on databases, we firstly present the emotion classification and metric frequency for ME recognition. The most frequently used databases for ME detection are then introduced. Finally, we discuss the future directions of micro-expression databases.

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Paper citation in several formats:
Li, J.; Soladie, C. and Seguier, R. (2019). A Survey on Databases for Facial Micro-Expression Analysis.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-354-4, pages 241-248. DOI: 10.5220/0007309202410248

@conference{visapp19,
author={Jingting Li. and Catherine Soladie. and Renaud Seguier.},
title={A Survey on Databases for Facial Micro-Expression Analysis},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2019},
pages={241-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007309202410248},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - A Survey on Databases for Facial Micro-Expression Analysis
SN - 978-989-758-354-4
AU - Li, J.
AU - Soladie, C.
AU - Seguier, R.
PY - 2019
SP - 241
EP - 248
DO - 10.5220/0007309202410248

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