Learning Hierarchical Emotion Context for Continuous Dimensional Emotion Recognition From Video Sequences

Dimensional emotion recognition is currently one of the most challenging tasks in the field of affective computing. In this paper, a novel three-stage method is proposed to learn hierarchical emotion context information (feature- and label-level contexts) for predicting affective dimension values fr...

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Bibliographic Details
Main Authors: Qirong Mao, Qing Zhu, Qiyu Rao, Hongjie Jia, Sidian Luo
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8712534/