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Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss
October 30, 2020 Β· Declared Dead Β· π ECCV Workshops
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Authors
Panagiotis Paraskevas Filntisis, Niki Efthymiou, Gerasimos Potamianos, Petros Maragos
arXiv ID
2010.16396
Category
cs.CV: Computer Vision
Citations
22
Venue
ECCV Workshops
Last Checked
3 months ago
Abstract
We present our winning submission to the First International Workshop on Bodily Expressed Emotion Understanding (BEEU) challenge. Based on recent literature on the effect of context/environment on emotion, as well as visual representations with semantic meaning using word embeddings, we extend the framework of Temporal Segment Network to accommodate these. Our method is verified on the validation set of the Body Language Dataset (BoLD) and achieves 0.26235 Emotion Recognition Score on the test set, surpassing the previous best result of 0.2530.
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