Danger of low-dimensional watermarking subspaces.
Gwenaël J. DoërrJean-Luc DugelayPublished in: ICASSP (3) (2004)
Keyphrases
- low dimensional
- high dimensional data
- high dimensional
- dimensionality reduction
- linear subspace
- lower dimensional
- principal component analysis
- data points
- dimension reduction
- digital images
- manifold learning
- spread spectrum
- feature space
- input space
- euclidean space
- watermarking scheme
- copyright protection
- robust image watermarking
- multidimensional scaling
- digital image watermarking
- watermarking algorithm
- subspace learning
- high dimensional data space
- subspace analysis
- image watermarking
- vector space
- graph embedding
- low dimensional spaces
- image authentication
- watermarking technique
- data hiding
- embedding space
- nonlinear dimensionality reduction
- watermarking method
- information hiding
- linear dimensionality reduction
- linear discriminant analysis
- subspace clustering
- fragile watermarking
- semi supervised