Spatiotemporal Networks for Video Emotion Recognition

Understand

Our experiment adapts several popular deep learning methods as well as some traditional methods on the problem of video emotion recognition.

• In our experiment, we use the CNN-LSTM architecture for visual information extraction and classification and utilize traditional methods such as for audio feature classification.
• For multimodal fusion, we use the traditional Support Vector Machine.
• Our experiment yields a good result on the AFEW 6.0 Dataset.