Abhinav Dhall
Roland Goecke
ABSTRACT
The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenge, which mimics real-world conditions. In total, 27 teams participated in the challenge. The database in the 2013 challenge is the Acted Facial Expression in the Wild (AFEW), which has been collected from movies showing close-to-real-world conditions.
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Digital Library
- Jacob Whitehill, Gwen Littlewort, Ian R. Fasel, Marian Stewart Bartlett, and Javier R. Movellan. Toward Practical Smile Detection. IEEE TPAMI, 2009. Google ScholarDigital Library
- Abhinav Dhall, Roland Goecke, Simon Lucey, and Tom Gedeon. Static Facial Expression Analysis In Tough Conditions: Data, Evaluation Protocol And Benchmark. In ICCVW, BEFIT'11, 2011.Google ScholarCross Ref
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- Florian Eyben, Martin Wöllmer, and Björn Schuller. Opensmile: the munich versatile and fast open-source audio feature extractor. In ACM Multimedia, pages 1459--1462, 2010. Google ScholarDigital Library
- Abhinav Dhall, Roland Goecke, Jyoti Joshi, Michael Wagner, and Tom Gedeon. Emotion recognition in the wild challenge 2013. In ACM ICMI, 2013. Google ScholarDigital Library
Index Terms
- Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary
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