Video and image based Emotion recognition challenges in the wild

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Dhall, Abhinav
Ramana Murthy, O. V.
Goecke, Roland
Joshi, Jyoti
Gedeon, Tom

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Association for Computing Machinery (ACM)

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Abstract

The third Emotion Recognition in the Wild (EmotiW) challenge 2015 consists of an audio-video based emotion and static image based facial expression recognition 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.

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ICMI 2015 - Proceedings of the 2015 ACM International Conference on Multimodal Interaction

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