Rate-Distortion Optimization Guided Autoencoder for Generative Approach with quantitatively measurable latent space.
Keizo KatoJing ZhouAkira NakagawaPublished in: CoRR (2019)
Keyphrases
- latent space
- generative model
- gaussian process latent variable models
- latent variables
- rate distortion
- low dimensional
- video coding
- dimensionality reduction
- bit rate
- gaussian process
- probabilistic model
- rate control
- inter frame
- high dimensional
- matrix factorization
- lower dimensional
- feature space
- coding method
- bayesian framework
- manifold learning
- coding efficiency
- transfer learning
- intra prediction
- parameter space
- gaussian processes
- distance metric
- probabilistic latent semantic analysis
- computer vision
- em algorithm
- latent dirichlet allocation
- motion vectors
- regression model
- high dimensional data
- expectation maximization
- motion estimation
- pattern recognition
- bayesian networks