Eulerian video magnification for revealing subtle changes in the world
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Durand_Eulerian video.pdf
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7.68 MB
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Adobe PDF
Checksum (MD5)
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Author(s)
Wu, Hao-Yu
Rubinstein, Michael
Shih, Eugene
Guttag, John V.
Durand, Fredo
Freeman, William T.
Date Issued
July 2012
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery
Citation
Wu, Hao-Yu, Michael Rubinstein, Eugene Shih, John Guttag, Frédo Durand, and William Freeman. “Eulerian Video Magnification for Revealing Subtle Changes in the World.” ACM Transactions on Graphics 31, no. 4 (July 1, 2012): 1–8.
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2185520.2185561
