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, [log in to unmask]
Erik Cambria
NTU/SenticNet, SG, [log in to unmask]
Eva-Maria Meßner
Ulm University, DE, [log in to unmask]
Guoying Zhao
University of Oulu, FN, [log in to unmask]
Lukas Stappen
University of Augsburg, DE, [log in to unmask]
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
[log in to unmask]
www.schuller.one
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