A Study on the Impact of Training Data in CNN-Based Super-Resolution for Low Bitrate End-to-End Video Coding.
Fatemeh NasiriWassim HamidoucheLuce MorinGildas CocherelNicolas DhollandePublished in: IPTA (2020)
Keyphrases
- video coding
- end to end
- bit rate
- super resolution
- motion estimation
- rate allocation
- rate distortion
- video quality
- motion vectors
- motion compensated
- low resolution
- motion compensation
- video compression
- high resolution
- rate control
- macroblock
- compression efficiency
- visual quality
- bitstream
- image quality
- motion compensated prediction
- video codec
- congestion control
- multiview video coding
- inter frame
- subband
- low complexity
- computational complexity
- low bit rate
- rate distortion optimization
- video sequences
- scalable video
- bit allocation
- scalable video coding
- rate adaptation
- compressed video
- image data
- super resolved
- coding efficiency
- video coding standard
- multi view
- video streaming
- optical flow
- video coder
- reference frame
- reconstructed image
- computer vision
- image processing
- error resilience
- video transmission
- bit plane
- block matching
- depth map
- spatial domain