EmotiW 2013 - Emotion Recognition in the Wild 2013 Grand Challenge and Workshop (EmotiW 2013)

Emotion Recognition in the Wild 2013 Grand Challenge and Workshop
(EmotiW 2013) - 9 Dec 2013
http://cs.anu.edu.au/few/emotiw.html
at the ACM International Conference on Multimodal Interfaces ICMI2013
(http://icmi.acm.org/2013/), Sydney, Australia, 9-13 Dec 2013.
(This is conveniently timed directly after the IEEE International
Conference on Computer Vision ICCV2013, which will also be held in
Sydney, Australia, 1-8 Dec 2013 to facilitate easy planning for those
who wish to attend both. The EmotiW 2013 workshop will be held on the 9
Dec 2013.)
The Emotion Recognition in the Wild 2013 Grand Challenge and Workshop
consists of a multimodal emotion classification challenge, which mimics
real-world conditions. Traditionally, emotion recognition has been
performed on laboratory controlled data. While undoubtedly worthwhile at
the time, such lab controlled data poorly represents the environment and
conditions faced in real-world situations. With the increase in the
number of video clips online, it is worthwhile to explore the
performance of emotion recognition methods that work ‘in the wild’. The
goal of this Grand Challenge is to define a common platform for
evaluation of emotion recognition methods in real-world conditions.
The database in the 2013 challenge is the Acted Facial Expression In
Wild (AFEW), which consists of audio-video data collected from movies
showing close-to-real-world conditions. Emotion recognition is to be
performed on the sequence level. The datasets for training and
validation are available now, while the testing dataset will be made
available on the 30 Jun 2013. The challenge seeks participation from
researchers working on emotion recognition intend to create, extend and
validate their methods on data in real-world conditions. Researchers are
welcome to test their existing state-of-art emotion recognition methods
and to report the results.
In addition to the call for papers for the challenge, we also invite
researchers to submit other original work in line with the 'Emotion
Recognition in the Wild' theme as papers to the workshop, which will be
held in conjunction with the challenge. Paper submissions to the
challenge must use the challenge dataset, while papers to the workshop
can make use of other datasets (e.g. SFEW, GENKI) but must be in line
with the 'Emotion Recognition in the Wild' theme. Accepted challenge and
workshop papers will be published in the ACM ICMI2013 conference
proceedings.
Topics for the workshop include but are not limited to:
? Multimodal emotion recognition in the wild
? Vision based temporal expression analysis in the wild
? Vision based static expression analysis on database like SFEW/GENKI
? Audio based emotion analysis in the wild
? New data corpora representing real-world conditions
? Facial feature tracking in the wild
? Multimodal emotion recognition applications
Important Dates:
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20 Mar 2013 - Challenge training and validation datasets available
30 Jun 2013 - Challenge test dataset available
15 Jul 2013 - Submission of challenge results (details of the format
will be posted on the website)
25 Jul 2013 - Paper submission deadline
30 Aug 2013 - Notification of acceptance
15 Sep 2013 - Camera-ready papers
9 Dec 2013 - Workshop
Organisers:
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Abhinav Dhall, Australian National University
Roland Goecke, University of Canberra / Australian National University
Jyoti Joshi, University of Canberra
Michael Wagner, University of Canberra / Australian National University
Tom Gedeon, Australian National University
Contact: EmotiW2013-AT-gmail.com
Programme Committee:
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Akshay Asthana, Imperial College London
Nadia Bianchi-Berthouze, University of College London
Carlos Busso, University of Texas, Dallas
Hazim Kemal Ekenel, Karlsruhe Institute of Technology
Hatice Gunes, Queen Mary University of London
Zakia Hammal, Carnegie Mellon University
Gwen Littlewort, University of California San Diego
Elisa Martinez Marroquin, University of Canberra
Christian Peter, Ambertree Assistance Technologies
Stefan Scherer, University of Southern California
Bjoern Schuller, Technische Universitaet Muenchen
Nicu Sebe, University of Trento
Shiguang Shan, Chinese Academy of Sciences
Gaurav Sharma, University of Caen
Michel Valstar, University of Nottingham
Stefanos Zafeiriou, Imperial College London