Call for papers:
University of Nottingham, UK
Queen’s University Belfast, UK
Imperial College London, UK
University of Wuppertal, DE
The Audio/Visual Emotion Challenge and Workshop (AVEC 2013) will be the third competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and audio-visual emotion analysis, with all participants competing under strictly the same conditions.
The AVEC 2013 edition features besides emotion recognition the serious and important automatic estimation of levels of depression. Adding objective measures to what is otherwise an entirely subjective process of diagnosing and monitoring depression promises to be an invaluable support to the mental health profession besides the usage in media retrieval systems.
The goal of the Challenge is to provide a common benchmark test set for individual multimodal information processing and to bring together the audio and video emotion recognition communities, to compare the relative merits of the two approaches to emotion recognition under well-defined and strictly comparable conditions and establish to what extent fusion of the approaches is possible and beneficial. A second motivation is the need to advance emotion recognition systems to be able to deal with naturalistic behavior in large volumes of un-segmented, non-prototypical and non-preselected data as this is exactly the type of data that both multimedia retrieval and human-machine/human-robot communication interfaces have to face in the real world.
We are calling for teams to participate in two Sub-Challenges: fully-continuous emotion detection from audio, from video, or from audio-visual information, and estimation of a depression severity indicator. As benchmarking database the audio-visual depression corpus database of task-specific human-computer interactions will be used. Emotion will have to be recognized in terms of continuous time, continuous valued dimensional affect in two dimensions: arousal and valence. Depression will have to be estimated in terms of a widely accepted clinical self-report questionnaire, the Beck Depression Inventory II.
Besides participation in the Challenge we are calling for papers addressing the overall topics of this workshop, in particular works that address the differences between audio and video processing of emotive data, and the issues concerning combined audio-visual emotion recognition.
Elisabeth André, Universität Augsburg, Germany
Anton Batliner, Universität Erlangen-Nuremberg, Germany
Felix Burkhardt, Deutsche Telekom, Germany
Rama Chellappa, University of Maryland, USA
Mohamed Chetouani, Institut des Systèmes Intelligents et de Robotique (ISIR), Fance
Jeff Cohn, University of Pittsburgh/Carnegie Mellon University, USA
Laurence Devillers, Laboratoire d’Informatique pour la Mécanique et les Sciences de l’Ingénieur (LIMSI), France
Julien Epps, University of New South Wales, Australia
Roland Göcke, Australian National University, Australia
Hatice Gunes, Queen Mary University London, UK
Aleix Martinez, Ohio State University, USA
Marc Méhu, University of Geneva, Switzerland
Louis-Philippe Morency, University of Southern California, USA
Marcello Mortillaro, University of Geneva, Switzerland
Stefan Scherer, University of Southern California, USA
Stefan Steidl, Uinversität Erlangen-Nuremberg, Germany
Jianhua Tao, Chinese Academy of Sciences, China
Fernando de la Torre, Carnegie Mellon University, USA
Stefanos Zafeiriou, Imperial College London, UK
Paper submission July, 2013
Notification of acceptance July/August, 2013
Camera ready paper August, 2013
Workshop Monday 21 October, 2013
Topics include, but are not limited to:
Participation in the Challenge
In submitting a manuscript to this workshop, the authors acknowledge that no paper substantially similar in content has been submitted to another conference or workshop. Accepted workshop papers will be included in the proceedings of ACM Multimedia 2013. AVEC 2013 reviewing is double blind. Reviewing will be by members of the program committee. Each paper will receive at least three reviews. Acceptance will be based on relevance to the workshop, novelty, and technical quality.