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"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
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Lukas Stappen <[log in to unmask]>
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Thu, 15 Apr 2021 10:16:39 +0000
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Bjoern Schuller <[log in to unmask]>
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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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