Spotting Macro-and Micro-expression Intervals in Long Video Sequences

Ying He · Sujing Wang · Jingting Li · Moi Hoon Yap

72 citations0/0 files storedInternational Conference on Automatic Face and Gesture Recognition

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Abstract

This paper presents baseline results for the Third Facial Micro-Expression Grand Challenge (MEGC 2020). Both macro-and micro-expression intervals in CAS(ME)2and SAMM Long Videos are spotted by employing the method of Main Directional Maximal Difference Analysis (MDMD). The MDMD method uses the magnitude maximal difference in the main direction of optical flow features to spot facial movements. The single-frame prediction results of the original MDMD method are post-processed into reasonable video intervals. The metric F1-scores of baseline results are evaluated: for CAS(ME)2, the F1-scores are 0.1196 and 0.0082 for macro-and micro-expressions respectively, and the overall F1-score is 0.0376; for SAMM Long Videos, the F1-scores are 0.0629 and 0.0364 for macro-and micro-expressions respectively, and the overall F1-score is 0.0445. The baseline project codes are publicly available at https://github.com/HeyingGithub/ Baseline-project-for-MEGC2020_spotting.

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References

2014CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation 2016SAMM: A Spontaneous Micro-Facial Movement Dataset 2013A Spontaneous Micro-expression Database: Inducement, collection and baseline 2013How Fast are the Leaked Facial Expressions: The Duration of Micro-Expressions 2013CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces 2017Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods 1966Micromomentary facial expressions as indicators of ego mechanisms in psychotherapy 2017CAS(ME): A Database for Spontaneous Macro-Expression and Micro-Expression Spotting and Recognition

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2021Shallow Optical Flow Three-Stream CNN For Macro- And Micro-Expression Spotting From Long Videos 20223D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame 2020Local Bilinear Convolutional Neural Network for Spotting Macro- and Micro-expression Intervals in Long Video Sequences

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