Revisiting Learning-based Video Motion Magnification for Real-time Processing

arXiv:2403.01898v1 Announce Type: new
Abstract: Video motion magnification is a technique to capture and amplify subtle motion in a video that is invisible to the naked eye. The deep learning-based prior work successfully demonstrates the modelling of the motion magnification problem with outstanding quality compared to conventional signal processing-based ones. However, it still lags behind real-time performance, which prevents it from being extended to various online applications. In this paper, we investigate an efficient deep learning-based motion magnification model that …

abstract amplify arxiv cs.cv deep learning eess.iv modelling prior processing quality real-time real-time processing signal type video work