Parallelized Rate-Distortion Optimized Quantization Using Deep Learning.
Dana KianfarAuke WiggersAmir SaidReza PourrezaTaco CohenPublished in: MMSP (2020)
Keyphrases
- deep learning
- rate distortion optimized
- scalar quantization
- image coding
- subband
- low bit rate
- bitstream
- rate distortion
- vector quantization
- video coding
- image coder
- image compression
- unsupervised learning
- bit rate
- video streaming
- coding scheme
- video transmission
- multiple description
- coding method
- machine learning
- mental models
- entropy coding
- wavelet transform
- low complexity
- scalable video coding
- error control
- filter bank
- computational complexity
- weakly supervised
- video compression
- video quality
- multiresolution
- coding efficiency
- wavelet coefficients
- compression algorithm
- visual quality
- mode decision
- image processing
- compression ratio
- reinforcement learning
- motion estimation
- error resilience
- visual features
- multiscale