AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
Proceedings of the 2018 on audio/visual emotion challenge and workshop, 2018•dl.acm.org
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018)" Bipolar disorder, and
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of
multimedia processing and machine learning methods for automatic audiovisual health and
emotion analysis, with all participants competing strictly under the same conditions. The goal
of the Challenge is to provide a common benchmark test set for multimodal information
processing and to bring together the health and emotion recognition communities, as well as …
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of
multimedia processing and machine learning methods for automatic audiovisual health and
emotion analysis, with all participants competing strictly under the same conditions. The goal
of the Challenge is to provide a common benchmark test set for multimodal information
processing and to bring together the health and emotion recognition communities, as well as …
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018) "Bipolar disorder, and cross-cultural affect recognition'' is the eighth competition event aimed at the comparison of multimedia processing and machine learning methods for automatic audiovisual health and emotion analysis, with all participants competing strictly under the same conditions. The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the health and emotion recognition communities, as well as the audiovisual processing communities, to compare the relative merits of various approaches to health and emotion recognition from real-life data. This paper presents the major novelties introduced this year, the challenge guidelines, the data used, and the performance of the baseline systems on the three proposed tasks: bipolar disorder classification, cross-cultural dimensional emotion recognition, and emotional label generation from individual ratings, respectively.