English

OMG - Emotion Challenge Solution

Computer Vision and Pattern Recognition 2018-05-02 v1 Machine Learning Sound Audio and Speech Processing Machine Learning

Abstract

This short paper describes our solution to the 2018 IEEE World Congress on Computational Intelligence One-Minute Gradual-Emotional Behavior Challenge, whose goal was to estimate continuous arousal and valence values from short videos. We designed four base regression models using visual and audio features, and then used a spectral approach to fuse them to obtain improved performance.

Keywords

Cite

@article{arxiv.1805.00348,
  title  = {OMG - Emotion Challenge Solution},
  author = {Yuqi Cui and Xiao Zhang and Yang Wang and Chenfeng Guo and Dongrui Wu},
  journal= {arXiv preprint arXiv:1805.00348},
  year   = {2018}
}
R2 v1 2026-06-23T01:41:37.127Z