The concept of video motion magnification has become increasingly relevant due to its
ability to detect small and invisible motions that can be of great value in a variety of …

Video Motion Magnification (VMM) aims to break the resolution limit of human visual
perception capability and reveal the imperceptible minor motion that contains valuable …

This paper presents a simple, self-supervised method for magnifying subtle motions in
video: given an input video and a magnification factor, we manipulate the video such that its …

Abstract Video Motion Magnification (VMM) aims to reveal subtle and imperceptible motion
information of objects in the macroscopic world. Prior methods directly model the motion …

Video motion magnification makes subtle invisible motions visible, such as small chest
movements while breathing, subtle vibrations in the moving objects etc. But small motions …

The amplification of high-speed micro-motions holds significant promise, with applications
spanning fault detection in fast-paced industrial environments to refining precision in …

Abstract [Significance] Vibration measurement is a fundamental means to ensure the safety
and good condition of structures. Highly accurate vibration measurements provide precise …

Our main objective through this is using the Eulerian Video Magnification computer vision
algorithm to use a standard video sequence recorded from any source and process it on our …

The main challenges in micro-expression recognition are unbalanced sample data and
subtle changes in the facial area. To tackle these problems, we propose a discriminative …

Figure A1. Illustration of the demonstration video samples. We randomly select four
examples on the left named baby, fork, bottle, and eye videos from the Real-world Dataset …