CS-MCNet: A Video Compressive Sensing Reconstruction Network with Interpretable Motion Compensation.
Bowen HuangJinjia ZhouXiao YanMing-e JingRentao WanYibo FanPublished in: ACCV (2) (2020)
Keyphrases
- compressive sensing
- motion compensation
- compressive sampling
- video super resolution
- motion compensated
- motion vectors
- compressed sensing
- video coding
- video compression
- motion estimation
- sparse representation
- super resolution
- signal processing
- video sequences
- random projections
- image reconstruction
- motion field
- image representation
- video data
- video codec
- video content
- video coder
- video coding standard
- video frames
- video streams
- low resolution
- optical flow
- multimedia
- macroblock
- spatial domain
- machine learning
- high resolution
- computational complexity