A Review: Eulerian Video Motion Magnification
Thispaper reviews computational techniques to efficiently represent, analyse and visualise both shortterm and long-term temporal variation in video and image sequences. This paper reveals temporal variation in videos that are imperceptible to the naked eye. The method takes a standard video sequence as an input, and applies spatial decomposition, followed by temporal filtering to the frames which is called “Eulerian Video Magnification”. The resulting signal is then amplified to reveal the hidden information. Paper contains four techniques which are: 1.Linear approximation method, 2.Phase based video processing, 3. Riesz pyramid for fast phase based video processing and 4.Enhanced Eulerian video magnification. Using above methods, one is able to amplify and visualize small motions and temporal colour changes.
Kranti Kamble, Nitin Jagtap, R.A Patil, Ankit Bhurane
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