A new scheme for watermark extraction using combined noise-induced resonance and support vector machine with PCA based feature reduction.
Vivek Singh VermaAnuj BhardwajRajib Kumar JhaPublished in: Multim. Tools Appl. (2019)
Keyphrases
- watermark extraction
- feature reduction
- support vector machine
- watermarking scheme
- rough sets
- principal component analysis
- copyright protection
- text categorization
- watermark embedding
- watermarking algorithm
- reduction method
- svm classifier
- random forest
- linear discriminant analysis
- feature selection
- watermarking technique
- support vector
- classification accuracy
- feature vectors
- feature extraction
- k nearest neighbor
- machine learning
- knn
- neural network
- feature set
- training set
- classification algorithm
- support vector machine svm
- jpeg compression
- text classification
- language model
- singular values
- geometric distortions
- viterbi algorithm
- feature space