Eulerian video magnification for revealing subtle changes in the world

Our goal is to reveal temporal variations in videos that are difficult or impossible to see with the naked eye and display them in an indicative manner. Our method, which we call Eulerian Video Magnification, takes a standard video sequence as input, and applies spatial decomposition, followed by te...

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Bibliographic Details
Main Authors: Wu, Hao-Yu, Rubinstein, Michael, Shih, Eugene, Guttag, John V., Durand, Fredo, Freeman, William T.
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computing Machinery 2014
Online Access:http://hdl.handle.net/1721.1/86955
https://orcid.org/0000-0002-3707-3807
https://orcid.org/0000-0003-0992-0906
https://orcid.org/0000-0001-9919-069X
https://orcid.org/0000-0002-2231-7995
Description
Summary:Our goal is to reveal temporal variations in videos that are difficult or impossible to see with the naked eye and display them in an indicative manner. Our method, which we call Eulerian Video Magnification, takes a standard video sequence as input, and applies spatial decomposition, followed by temporal filtering to the frames. The resulting signal is then amplified to reveal hidden information. Using our method, we are able to visualize the flow of blood as it fills the face and also to amplify and reveal small motions. Our technique can run in real time to show phenomena occurring at the temporal frequencies selected by the user.