Video Emotion Recognition
6 papers with code • 2 benchmarks • 5 datasets
CREMA-D
Ekman6
CANDOR Corpus
L-SVD
Latest papers with no code
Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition
Although there is no consensus on a definition, human emotional states usually can be apperceived by auditory and visual systems.
Context-aware Cascade Attention-based RNN for Video Emotion Recognition
Emotion recognition can provide crucial information about the user in many applications when building human-computer interaction (HCI) systems.
Automatic Recognition of Facial Displays of Unfelt Emotions
Performance of the proposed model shows that on average it is easier to distinguish among genuine facial expressions of emotion than among unfelt facial expressions of emotion and that certain emotion pairs such as contempt and disgust are more difficult to distinguish than the rest.
Spatiotemporal Networks for Video Emotion Recognition
Our experiment adapts several popular deep learning methods as well as some traditional methods on the problem of video emotion recognition.
Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos
By this way, static image features extracted from a pre-trained deep CNN and temporal information represented by DFT features are jointly considered for video emotion recognition.
Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization
Emotion is a key element in user-generated videos.
