Video magnification in presence of large motions

Mohamed Elgharib, Mohamed Hefeeda, Frédo Durand, William T. Freeman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

40 Citations (Scopus)

Abstract

Video magnification reveals subtle variations that would be otherwise invisible to the naked eye. Current techniques require all motion in the video to be very small, which is unfortunately not always the case. Tiny yet meaningful motions are often combined with larger motions, such as the small vibrations of a gate as it rotates, or the microsaccades in a moving eye. We present a layer-based video magnification approach that can amplify small motions within large ones. An examined region/layer is temporally aligned and subtle variations are magnified. Matting is used to magnify only region of interest while maintaining integrity of nearby sites. Results show handling larger motions, larger amplification factors and significant reduction in artifacts over state of the art.

Original languageEnglish
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PublisherIEEE Computer Society
Pages4119-4127
Number of pages9
Volume07-12-June-2015
ISBN (Print)9781467369640
DOIs
Publication statusPublished - 14 Oct 2015
EventIEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 - Boston, United States
Duration: 7 Jun 201512 Jun 2015

Other

OtherIEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
CountryUnited States
CityBoston
Period7/6/1512/6/15

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ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

Cite this

Elgharib, M., Hefeeda, M., Durand, F., & Freeman, W. T. (2015). Video magnification in presence of large motions. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 07-12-June-2015, pp. 4119-4127). [7299039] IEEE Computer Society. https://doi.org/10.1109/CVPR.2015.7299039