2017/04/03 by Lijie Fan, Fan, Lijie, Yunjie Ke +1
Computer Science · Psychology · #Computer Vision and Pattern Recognition (cs.CV) #Emotion and Mood Recognition #FOS: Computer and information sciences #Human Pose and Action Recognition #Video Surveillance and Tracking Methods #cs.CV
paper · pdf · doi:10.48550/arxiv.1704.00570
The reason is that the article is just an experimental report without being reviewed carefully. There are some fatal drawbacks in this article and it may not be suitable for being published
openalex publication_date 2017/04/03 · arxiv created 2017/04/12 · arxiv updated 2017/04/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.