Efficient Real-time Video Motion Magnification Study

The authors propose an efficient deep learning-based motion magnification model that achieves real-time performance for Full-HD videos by reducing spatial resolution and using a single linear encoder. This approach maintains quality while significantly improving computational efficiency.