MVBIND: Self-Supervised Music Recommendation For Videos Via Embedding Space Binding.
Jiajie TengHuiyu DuanYucheng ZhuSijing WuGuangtao ZhaiPublished in: CoRR (2024)
Keyphrases
- music recommendation
- embedding space
- audio features
- euclidean space
- manifold learning
- low dimensional
- input space
- high dimensional
- video sequences
- graph embedding
- data points
- dimensionality reduction
- user profiles
- recommender systems
- geometric structure
- nonlinear dimensionality reduction
- audio visual
- multimedia
- human activities
- video data
- low level
- geodesic distance
- pattern recognition
- feature selection
- visual features
- human actions
- input data
- feature set
- text mining
- collaborative filtering
- feature extraction