AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition

F. Ringeval, Björn Schuller, M. Valstar, R. Cowie, Heysem Kaya, Maximilian Schmitt, S. Amiriparian, N. Cummins, D. Lalanne, Adrien Michaud, E. Çiftçi, Hüseyin Güleç, A. A. Salah, M. Pantic
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引用次数: 129

Abstract

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.
AVEC 2018研讨会和挑战:双相情感障碍和跨文化情感识别
视听情感挑战及工作坊(AVEC 2018)“双相情感障碍和跨文化情感识别”是第八项竞赛项目,旨在比较自动视听健康和情感分析的多媒体处理和机器学习方法,所有参与者都在相同的条件下严格竞争。挑战的目标是为多模态信息处理提供一个共同的基准测试集,并将健康和情感识别界以及视听处理界聚集在一起,比较从现实数据中识别健康和情感的各种方法的相对优点。本文介绍了今年引入的主要创新,挑战指南,使用的数据,以及基线系统在三个拟议任务上的表现:双相情感障碍分类,跨文化维度情感识别,以及从个人评分中生成情感标签。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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