  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.
