Eulerian Video Magnification for Revealing Subtle Changes in the World

被引：904
作者：
Wu, Hao-Yu
Rubinstein, Michael
Shih, Eugene
Guttag, John
Durand, Fredo
Freeman, William
机构：
[1] Quanta Research Cambridge, Inc.
来源：
ACM TRANSACTIONS ON GRAPHICS | 2012年 / 31卷 / 04期
关键词：
video-based rendering; spatio-temporal analysis; Eulerian motion; motion magnification;
D O I：
10.1145/2185520.2185561
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
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