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EmoNets: Multimodal deep learning approaches for emotion recognition in video
[article]
2015
arXiv
pre-print
The task of the emotion recognition in the wild (EmotiW) Challenge is to assign one of seven emotions to short video clips extracted from Hollywood style movies. The videos depict acted-out emotions under realistic conditions with a large degree of variation in attributes such as pose and illumination, making it worthwhile to explore approaches which consider combinations of features from multiple modalities for label assignment. In this paper we present our approach to learning several
arXiv:1503.01800v2
fatcat:e2ounsvhnzctnmw5ehqobn6nwq