Predicting the Arousal and Valence Values of Emotional States Using Learned, Predesigned, and Deep Visual Features.
Itaf Omar JoudehAna-Maria CretuStéphane BouchardPublished in: Sensors (2024)
Keyphrases
- emotional state
- visual features
- image classification
- visual information
- visual content
- emotion recognition
- facial expressions
- image search
- image retrieval
- visual appearance
- image annotation
- low level features
- keywords
- image collections
- semantic features
- global features
- semantic concepts
- visual data
- low level
- bag of features
- semantic gap
- high level
- visual properties
- web images
- affective states
- key frames
- image database
- object recognition
- visual similarity
- physiological signals
- machine learning
- bridge the semantic gap