Publication Type:

Conference Paper

Source:

Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, ACM, New York, NY, USA (2015)

ISBN:

9781450339124

URL:

http://doi.acm.org/10.1145/2818346.2829994

Keywords:

affect analysis in the wild, audio-video data corpus, facial expression challenge

Abstract:

The third Emotion Recognition in the Wild (EmotiW) challenge 2015 consists of an audio-video based emotion and static image based facial expression classification sub-challenges, which mimics real-world conditions. The two sub-challenges are based on the Acted Facial Expression in the Wild (AFEW) 5.0 and the Static Facial Expression in the Wild (SFEW) 2.0 databases, respectively. The paper describes the data, baseline method, challenge protocol and the challenge results. A total of 12 and 17 teams participated in the video based emotion and image based expression sub-challenges, respectively.

Cite this Research Publication

A. Dhall, Dr. Oruganti Venkata Ramana Murthy, Goecke, R., Joshi, J., and Gedeon, T., “Video and Image Based Emotion Recognition Challenges in the Wild: EmotiW 2015”, in Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, New York, NY, USA, 2015.

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