Phase-based video motion processing
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Freeman_Phase-based.pdf
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12.35 MB
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Checksum (MD5)
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Author(s)
Wadhwa, Neal
Rubinstein, Michael
Durand, Fredo
Freeman, William T.
Date Issued
July 2013
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Neal Wadhwa, Michael Rubinstein, Fredo Durand, and William T. Freeman. 2013. Phase-based video motion processing. ACM Trans. Graph. 32, 4, Article 80 (July 2013), 10 pages.
Version
Author's final manuscript
Abstract
We introduce a technique to manipulate small movements in videos based on an analysis of motion in complex-valued image pyramids. Phase variations of the coefficients of a complex-valued steerable pyramid over time correspond to motion, and can be temporally processed and amplified to reveal imperceptible motions, or attenuated to remove distracting changes. This processing does not involve the computation of optical flow, and in comparison to the previous Eulerian Video Magnification method it supports larger amplification factors and is significantly less sensitive to noise. These improved capabilities broaden the set of applications for motion processing in videos. We demonstrate the advantages of this approach on synthetic and natural video sequences, and explore applications in scientific analysis, visualization and video enhancement.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mathematics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1145/2461912.2461966
