Combining Audio and Video by Dominance in Bimodal Emotion Recognition

Authors:
Lixing Huang;Le Xin;Liyue Zhao;Jianhua Tao
Affiliations:
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences,;National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences,;National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences,;National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences,
Venue:
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Year:
2007

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Abstract

We propose a novel bimodal emotion recognition approach by using the boosting-based framework, in which we can automatically determine the adaptive weights for audio and visual features. In this way, we balance the dominances of audio and visual features dynamically in feature-level to obtain better performance.