Motion denoising with application to time-lapse photography

Motions can occur over both short and long time scales. We introduce motion denoising, which treats short-term changes as noise, long-term changes as signal, and re-renders a video to reveal the underlying long-term events. We demonstrate motion denoising for time-lapse videos. One of the characteri...

Full description

Saved in:
Bibliographic Details
Published inCVPR 2011 pp. 313 - 320
Main Authors Rubinstein, M., Ce Liu, Sand, P., Durand, F., Freeman, W. T.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Equations
Mathematical model
Noise reduction
Optimization
Spatiotemporal phenomena
Three dimensional displays
Transforms
Online AccessGet full text

Cover

More Information
Summary:Motions can occur over both short and long time scales. We introduce motion denoising, which treats short-term changes as noise, long-term changes as signal, and re-renders a video to reveal the underlying long-term events. We demonstrate motion denoising for time-lapse videos. One of the characteristics of traditional time-lapse imagery is stylized jerkiness, where short-term changes in the scene appear as small and annoying jitters in the video, often obfuscating the underlying temporal events of interest. We apply motion denoising for resynthesizing time-lapse videos showing the long-term evolution of a scene with jerky short-term changes removed. We show that existing filtering approaches are often incapable of achieving this task, and present a novel computational approach to denoise motion without explicit motion analysis. We demonstrate promising experimental results on a set of challenging time-lapse sequences.
ISBN:1457703947
9781457703942
ISSN:1063-6919
DOI:10.1109/CVPR.2011.5995374