Abstract
The \(2^{nd}\) Korean Emotion Recognition Challenge (KERC2020) is a global challenge to promote the emotion recognition technologies by using audio-visual data analysis, especially for the emotion of Korean people. KERC2020 comprise of 1236 videos with each length from two to four seconds based on Korean movies are dramas. Around 68 participating teams compete to achieve state-of-the-art in recognizing stress, arousal, valence from Korean video in the wild. This paper provides a summary of dataset, methods and results in the challenge.
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Acknowledgments
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2020R1A4A1019191) and by the Korea Sanhak Foundation and the University Industrial Technology Force (UNITEF) Support Group.
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Kim, S. et al. (2021). The 2nd Korean Emotion Recognition Challenge: Methods and Results. In: Jeong, H., Sumi, K. (eds) Frontiers of Computer Vision. IW-FCV 2021. Communications in Computer and Information Science, vol 1405. Springer, Cham. https://doi.org/10.1007/978-3-030-81638-4_14
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