  The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) "Depression, Mood
and Emotion" will be the sixth competition event aimed at comparison of
multimedia processing and machine learning methods for automatic audio, visual
and physiological 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 multi-modal information processing and
to bring together the depression and emotion recognition communities, as well
as the audio, video and physiological processing communities, to compare the
relative merits of the various approaches to depression and emotion recognition
under well-defined and strictly comparable conditions and establish to what
extent fusion of the approaches is possible and beneficial. This paper presents
the challenge guidelines, the common data used, and the performance of the
baseline system on the two tasks.

Computer Vision and Pattern Recognition;Human-Computer Interaction;Multimedia