Dear Colleagues, The 2nd International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop (MuSe 2021) @ ACM Multimedia, October 2021, Chengdu China
is now open: https://www.muse-challenge.org Description The Multimodal Sentiment Analysis Challenge and Workshop (MuSe) focuses on Multimodal Sentiment Recognition of data sourced from user-generated content and stress-induced situations. The competition is aimed to compare multimedia processing and deep learning methods for automatic audiovisual, biological, and textual based sentiment and emotion sensing, under a common experimental condition set. The goal of the challenge is to provide a common benchmarkable test set for multimodal information processing and to bring together the Affective Computing, Sentiment Analysis, and Health Informatics communities, to compare the merits of multimodal fusion for a large amount of modalities under well-defined conditions. Another motivation is the need to advance sentiment and emotion recognition systems to be able to deal with previously unexplored naturalistic behaviour in large volumes of in-the-wild data. The raw video recordings, transcriptions, pre-processed features and model baselines are available on our website. We are calling for teams to participate in four Sub-Challenges: Multimodal Continuous Emotions in-the-Wild Sub-challenge (MuSe-Wilder) Predicting the level of emotional dimensions (valence, arousal) in a time-continuous manner from audio-visual recordings. Multimodal Sentiment Classification Sub-challenge (MuSe-Sent) Predicting 5 advanced intensity classes of emotions based on valence and arousal for segments of audio-visual recordings. Multimodal Emotional Stress Sub-challenge (MuSe-Stress) Predicting the level of emotion (dimensions of arousal, valence) in a time-continuous manner from biological signals and audio-visual recordings. Multimodal Biosignal Affect Sub-challenge (MuSe-Physio) Predicting the combined signal of human annotated arousal and Electrodermal activity (i.e., physical arousal) in a time-continuous manner based on audio-visual-text data and biological signals. Important Dates Challenge opening 01 April 2021 Paper submission Late July 2021 Notification of acceptance Late August 2021 Camera ready paper Early September 2021 Workshop 20-24 October 2021 Organisers Björn W. Schuller Imperial College London, UK, schul...@ieee.org Erik Cambria NTU/SenticNet, SG, camb...@ntu.edu.sg Eva-Maria Meßner Ulm University, DE, eva-maria.mess...@uni-ulm.de Guoying Zhao University of Oulu, FN, guoying.z...@oulu.fi Lukas Stappen University of Augsburg, DE, stap...@ieee.org Welcome to the Challenge! Best wishes, Björn Schuller On behalf of the organisers ___________________________________________ Univ.-Prof. mult. Dr. habil. Björn W. Schuller, FBCS, Fellow ISCA, FIEEE Professor and Chair of Embedded Intelligence for Health Care and Wellbeing University of Augsburg / Germany Professor of Artificial Intelligence Head GLAM - Group on Language, Audio & Music Imperial College London / UK CSO/MD audEERING GmbH Germany Field Chief Editor Frontiers in Digital Health schul...@ieee.org www.schuller.one _______________________________________________ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
