Fine-grained end-to-end network model via vector quantization and hidden Markov processes.
Mo GhorbanzadehYang ChenCharles ClancyRobert W. McGwierPublished in: ICC (2013)
Keyphrases
- end to end
- network model
- vector quantization
- fine grained
- markov processes
- coarse grained
- image compression
- markov process
- markov chain
- stochastic processes
- vector quantizer
- random fields
- distortion measure
- access control
- non stationary
- congestion control
- neural network
- multipath
- rate allocation
- wavelet transform
- state space
- scalable video
- computer vision