Motion Magnification and Motion Denoising

Explore cutting-edge techniques in video processing with this lecture by William T. Freeman from MIT. Delve into two main topics: motion denoising and motion magnification. Learn about separating video sequences into short-term and longer-term components using Markov Random Fields, allowing for manipulation without explicit motion computation. Discover a novel, fast method for magnifying and re-rendering small motions in videos, enabling real-time motion microscopy. Gain insights from Freeman's extensive research in computer vision, machine learning, and computational photography, and understand the potential applications of these techniques in various fields.

Motion Magnification and Motion Denoising – William T. Freeman (MIT)