A machine learning-based approach for power and thermal management of next-generation video coding on MPSoCs: work-in-progress.
Arman IranfarMarina ZapaterDavid AtienzaPublished in: CODES+ISSS (2017)
Keyphrases
- video coding
- machine learning
- motion compensation
- bit rate
- rate distortion
- motion estimation
- motion compensated
- video compression
- motion vectors
- video quality
- image and video compression
- video codec
- rate control
- motion estimation and compensation
- motion compensated prediction
- block based motion estimation
- compression efficiency
- macroblock
- power consumption
- high definition
- scalable video coding
- video encoder
- wyner ziv video coding
- block matching motion estimation
- error resilience
- image quality
- real time
- computer vision
- temporal correlation
- video coding standard
- error propagation
- image sequences
- computational complexity
- multiresolution
- optical flow
- image data