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Subject: [ E-Conf ] AVEC 2013 - 3rd International Audio/Visual Emotion Challenge and Workshop at ACM Multimedia 2013
From: <schuller_(on)_tum.de>
Date received: 10 Mar 2013
Deadline: -
Start date: 21 Oct 2013

Dear List,

It is our great pleasure to announce AVEC 2013: the Audio-Visual
Emotion and Depression Recognition Challenge, third in the AVEC
series. The challenge/workshop will be held in conjunction with
ACM-Multimedia 2013, which is held from 21-25 October 2013 in
Barcelona, Spain.


AVEC 2013

3rd International Audio/Visual Emotion Challenge and Workshop

Depression and Continuous Emotion


Satellite Workshop of ACM Multimedia 2013

Fully-day Workshop October 21 - 25 (t.b.d.), Barcelona,
Catalunya, Spain


This year there will be two sub-challenges: the first is fully
continuous dimensional affect recognition (similar to AVEC 2012),
but it is the second sub-challenge that makes this AVEC very
special indeed: estimation of self-reported level of depression
on over 150 recordings of people suffering from depression
performing a standardised human computer interaction task. This
sub challenge has a single label associated with every recording,
making it also a very different machine learning problem compared
to the previous challenges.

The full Call for Participation, together with more information
about the mechanics of the challenge, can be found on the SSPNet
portal: http://sspnet.eu/avec2013/. The data can be downloaded
from http://avec2013-db.sspnet.eu/.

Please note that this year, due to the nature of the data, we
have to be stricter about participation and data distribution. We
would kindly request all participating teams to contact the
organisers by email with name and affiliation of all team
members. As an extra data protection measure, all zip files in
the dataset are encrypted and a password to decrypt them will be
provided by the organisers upon team registration. We would also
kindly request all participants to read the EULA thoroughly, in
particular the sections on data confidentiality.

Kindest regards,

Björn Schuller

on behalf of the AVEC 2013 organising committee, Björn Schuller,
Michel Valstar, Roddy Cowie, Maja Pantic, and Jarek Krajewski


PD Dr.-Ing. habil. DI

Björn W. Schuller

Visiting Professor

Centre Interfacultaire en Sciences Affectives (CISA)

Université de Genève

7 rue des Battoirs - CH -1205 Genève


Head Machine Intelligence & Signal Processing Group

Institute for Human-Machine Communication

Technische Universität München

Munich / Germany

Visiting Professor

School of Computer Science and Technology

Harbin Institute of Technology

Harbin / P.R. China

Fon: +49-(0)89-289-28548

Fax: +49-(0)89-289-28535




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