SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild.
Jean KossaifiRobert WaleckiYannis PanagakisJie ShenMaximilian SchmittFabien RingevalJing HanVedhas PanditBjörn W. SchullerKam StarElnar HajiyevMaja PanticPublished in: CoRR (2019)
Keyphrases
- audio visual
- database
- emotion recognition
- multi modal
- multimodal fusion
- databases
- visual information
- multi stream
- multimedia
- database systems
- high level
- relational databases
- sentiment analysis
- data sets
- temporal context
- affective states
- data management
- image sequences
- relevance feedback
- spatio temporal
- keywords
- audio features
- three dimensional
- person authentication
- information retrieval
- audio visual speech recognition