TY - GEN
T1 - AVEC 2017 - Real-life depression, and affect recognition workshop and challenge
AU - Ringeval, Fabien
AU - Gratch, Jonathan
AU - Mozgai, Sharon
AU - Schuller, Bjorn
AU - Cowie, Roddy
AU - Cummins, Nicholas
AU - Pantic, Maja
AU - Valstar, Michel
AU - Scherer, Stefan
AU - Schmitt, Maximilian
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/10/23
Y1 - 2017/10/23
N2 - The Audio/Visual Emotion Challenge and Workshop (AVEC 2017) "Real-life depression, and affect" will be the seventh competition event aimed at comparison of multimedia processing and machine learning methods for automatic audiovisual depression and emotion analysis, with all participants competing under strictly 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 depression and emotion recognition communities, as well as the audiovisual processing communities, to compare the relative merits of the various approaches to depression and emotion recognition from real-life data. This paper presents the novelties introduced this year, the challenge guidelines, the data used, and the performance of the baseline system on the two proposed tasks: dimensional emotion recognition (time and value-continuous), and dimensional depression estimation (value-continuous).
AB - The Audio/Visual Emotion Challenge and Workshop (AVEC 2017) "Real-life depression, and affect" will be the seventh competition event aimed at comparison of multimedia processing and machine learning methods for automatic audiovisual depression and emotion analysis, with all participants competing under strictly 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 depression and emotion recognition communities, as well as the audiovisual processing communities, to compare the relative merits of the various approaches to depression and emotion recognition from real-life data. This paper presents the novelties introduced this year, the challenge guidelines, the data used, and the performance of the baseline system on the two proposed tasks: dimensional emotion recognition (time and value-continuous), and dimensional depression estimation (value-continuous).
KW - Affective computing
KW - Automatic emotion/depression recognition
KW - Social signal processing
UR - http://www.scopus.com/inward/record.url?scp=85035199649&partnerID=8YFLogxK
U2 - 10.1145/3133944.3133953
DO - 10.1145/3133944.3133953
M3 - Conference contribution
AN - SCOPUS:85035199649
T3 - AVEC 2017 - Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, co-located with MM 2017
SP - 3
EP - 9
BT - AVEC 2017 - Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, co-located with MM 2017
PB - Association for Computing Machinery, Inc
T2 - 7th Annual Workshop on Audio/Visual Emotion Challenge, AVEC 2017
Y2 - 23 October 2017
ER -