EmotiW 2014 - The Second Emotion Recognition in the Wild Challenge (EmotiW 2014)
Topics/Call fo Papers
The Second Emotion Recognition in the Wild Challenge
(EmotiW 2014)
http://cs.anu.edu.au/few/emotiw2014.html
at the ACM International Conference on Multimodal Interfaces ICMI 2014 (http://icmi.acm.org/2014/), Istanbul, Turkey, 12-16 Nov 2014.
The Second Emotion Recognition in the Wild 2014 Challenge 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 challenge is to define a common platform for evaluation of emotion recognition methods in real-world conditions.
The database in the 2014 challenge is the Acted Facial Expression In Wild (AFEW) 4.0, 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 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.
Important dates:
Train and validate data available: 20 April 2014
Test data available: 30 June 2014
Last date for uploading the results: 15 July 2014
Paper submission deadline: 25 July 2014
Notification: 25 August 2014
Camera-ready papers: 15 September 2014
Organisers:
-----------
Abhinav Dhall, University of Canberra / Australian National University
Roland Goecke, University of Canberra / Australian National University
Jyoti Joshi, University of Canberra
Karan Sikka, University of California San Diego
Tom Gedeon, Australian National University
Contact: EmotiW2014-AT-gmail.com
(EmotiW 2014)
http://cs.anu.edu.au/few/emotiw2014.html
at the ACM International Conference on Multimodal Interfaces ICMI 2014 (http://icmi.acm.org/2014/), Istanbul, Turkey, 12-16 Nov 2014.
The Second Emotion Recognition in the Wild 2014 Challenge 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 challenge is to define a common platform for evaluation of emotion recognition methods in real-world conditions.
The database in the 2014 challenge is the Acted Facial Expression In Wild (AFEW) 4.0, 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 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.
Important dates:
Train and validate data available: 20 April 2014
Test data available: 30 June 2014
Last date for uploading the results: 15 July 2014
Paper submission deadline: 25 July 2014
Notification: 25 August 2014
Camera-ready papers: 15 September 2014
Organisers:
-----------
Abhinav Dhall, University of Canberra / Australian National University
Roland Goecke, University of Canberra / Australian National University
Jyoti Joshi, University of Canberra
Karan Sikka, University of California San Diego
Tom Gedeon, Australian National University
Contact: EmotiW2014-AT-gmail.com
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Last modified: 2014-04-14 23:18:57