Manuscripts should follow the ACM MM 2021 paper format. Authors should submit papers as PDF file.
Submission will be via CMT:
Track: 2nd Multimodal Sentiment Analysis Challenge (MuSe 2021)
The introductory Paper on the Challenge provides extensive descriptions and baseline results. All participants will be asked to avoid repetitions of Challenge, data, or feature descriptions in their submissions – of course, they have to describe shortly the essentials of the databases dealt with – but include the following citation:
In BibTeX, the reference is:
Please acknowledge the dataset paper for the MuSe data set:
The submission deadline is at 11:59 p.m. of the stated deadline date Anywhere on Earth.
A core discipline of multimedia research is to handle big data and develop effective embedding and fusing strategies in order to combine multiple modalities and understand multimedia content better. The recordings of the database are from the fast growing source of big data - user-generated content in a natural setting. They also inherently contain three modalities: video in the form of domain-context, perceived gestures and facial expressions; audio through voice prosody and intonations as well as domain-dependent environment sounds; and text via natural spoken language.
We encouraged contributions aiming at highest performance w.r.t. the baselines provided by the organisers, and contributions aiming at finding new and interesting insights w.r.t. to the topic of these challenges, especially:
Multimodal Affect/ Emotion/ Sentiment Sensing
Audio-based Emotion Recognition
Video-based Emotion Recognition
Text-based Sentiment/ Emotion Recognition
Multimodal Representation Learning
Semi-supervised and Unsupervised Learning
Multi-view learning of Multiple Dimensions
Context in Emotion Recognition
Multimedia Coding and Retrieval
Mobile and Online Applications