“Eulerian video magnification for revealing subtle changes in the world” by Wu, Rubinstein, Shih, Guttag, Durand, et al. …

  • ©Hao-Yu Wu, Michael Rubinstein, Eugene Shih, John Guttag, Frédo Durand, and William T. Freeman




    Eulerian video magnification for revealing subtle changes in the world



    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.


    1. Burt, P., and Adelson, E. 1983. The laplacian pyramid as a compact image code. IEEE Trans. Comm. 31, 4, 532–540.Google ScholarCross Ref
    2. Freeman, W. T., Adelson, E. H., and Heeger, D. J. 1991. Motion without movement. ACM Comp. Graph. 25, 27–30. Google ScholarDigital Library
    3. Fuchs, M., Chen, T., Wang, O., Raskar, R., Seidel, H.-P., and Lensch, H. P. 2010. Real-time temporal shaping of highspeed video streams. Computers & Graphics 34, 5, 575–584. Google ScholarDigital Library
    4. Horn, B., and Schunck, B. 1981. Determining optical flow. Artificial intelligence 17, 1-3, 185–203.Google Scholar
    5. Liu, C., Torralba, A., Freeman, W. T., Durand, F., and Adelson, E. H. 2005. Motion magnification. ACM Trans. Graph. 24, 519–526. Google ScholarDigital Library
    6. Liu, C., Freeman, W., Szeliski, R., and Kang, S. B. 2006. Noise estimation from a single image. In IEEE CVPR, vol. 1, 901–908. Google ScholarDigital Library
    7. Lucas, B. D., and Kanade, T. 1981. An iterative image registration technique with an application to stereo vision. In Proceedings of IJCAI, 674–679. Google ScholarDigital Library
    8. Philips, 2011. Philips Vitals Signs Camera. http://www.vitalsignscamera.com.Google Scholar
    9. Poh, M.-Z., McDuff, D. J., and Picard, R. W. 2010. Non-contact, automated cardiac pulse measurements using video imaging and blind source separation. Opt. Express 18, 10, 10762–10774.Google ScholarCross Ref
    10. Verkruysse, W., Svaasand, L. O., and Nelson, J. S. 2008. Remote plethysmographic imaging using ambient light. Opt. Express 16, 26, 21434–21445.Google ScholarCross Ref
    11. Wang, J., Drucker, S. M., Agrawala, M., and Cohen, M. F. 2006. The cartoon animation filter. ACM Trans. Graph. 25, 1169–1173. Google ScholarDigital Library

ACM Digital Library Publication:

Overview Page: