Feature-based classification for audio bootlegs detection.
Paolo BestaginiMassimiliano ZanoniLuca AlbonicoAndrea PaganiniAugusto SartiStefano TubaroPublished in: WIFS (2013)
Keyphrases
- classification accuracy
- automatic classification
- classification scheme
- image classification
- feature vectors
- pattern recognition
- machine learning
- false positives
- object detection
- feature extraction and classification
- decision trees
- multimedia
- feature selection
- training samples
- detection method
- automatic music genre classification
- music genre classification
- decision rules
- classification algorithm
- visual information
- automatic detection
- false alarms
- classification systems
- neural network
- neyman pearson
- machine learning algorithms
- support vector machine svm
- multi modal
- text classification
- signal processing
- supervised learning
- feature extraction
- class labels
- benchmark datasets
- visual features
- audio visual
- training set
- support vector