*** apologies for cross-posting ***
Dear Colleagues,
We are calling for participation in the First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop (MUSE) - Emotional Car Reviews in-the-wild, held as a workshop of ACM Multimedia 2020, Seattle, United States (October 12). For
more information, see
www.muse-challenge.org.
The Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop (MuSe) focuses on Multimodal Sentiment Recognition, Emotion-Target Engagement, and Trustworthiness of User-generated Content. It will be the first competition aimed at comparison of
multimedia processing and deep l earning methods for automatic audiovisual, and textual based sentiment and emotion sensing, under a common experimental condition set.
The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the Affective Computing, and Sentiment Analysis communities, to compare the merits of multimodal fusion for the three core modalities
under well-defined conditions. Another motivation is the need to advance sentiment and emotion recognition systems to be able to deal with fully, previously unexplored naturalistic behaviour in large volumes of in-the-wild data, as this is exactly the type
of data that both multimedia and human-machine/ human-robot communication interfaces have to face in the real world.
We are calling for teams to participate in three Sub-Challenges:
Multimodal Sentiment in-the-Wild Sub-challenge (MuSe-Wild)
Predicting the level of emotional dimensions (arousal, valence) in a time-continuous manner from audio-visual recordings.
Multimodal Emotion-Target Sub-challenge (MuSe-Topic)
Predicting 10-class domain-specific topics as the target of 3-class (low, medium, high) emotions of arousal and valence.
Multimodal Trustworthiness Sub-challenge (MuSe-Trust)
Predicting the level of trustworthiness of user-generated audio-visual content in a sequential manner utilising a diverse range of features.
Submission Policy
In submitting a manuscript to this workshop, the authors acknowledge that no paper substantially similar in content has been submitted to another conference or workshop. Manuscripts should follow the ACM MM 2020 paper format. Authors should submit papers as
a PDF file. Submission will be via CMT. Papers accepted for the workshop will be allocated 6-8 pages (plus additional pages for the references) in the proceedings of ACM MM 2020.
MuSe 2020 reviewing is double blind. Reviewing will be by members of the program committee. Each paper will receive at least three reviews. Acceptance will be based on relevance to the workshop, novelty, and technical quality.
Important Dates
Challenge opening: 20 April 2020
Paper submission: 29 July 2020
Notification of acceptance: 26 August 2020
Camera ready paper: 2 September 2020
Workshop: 12-16 October 2020
Kind regards,
Iulia Lefter
on behalf of the AVEC 2019 organizing committee: Björn Schuller, Iulia Lefter, Erik Cambria, Ioannis Kompatsiaris, Lukas Stappen.