Combining Audio and Video by Dominance in Bimodal Emotion Recognition

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.

• Type: Conference
• Year: 2007
• Where: ACII
• Authors: Lixing Huang, Le Xin, Liyue Zhao, Jianhua Tao
• Keywords: ACII 2007, Adaptive Weights, Applied Computing, Bimodal Emotion Recognition, Visual Features