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Graph."],"published-print":{"date-parts":[[2013,7,21]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.1145\/2461912.2461966","type":"journal-article","created":{"date-parts":[[2013,7,16]],"date-time":"2013-07-16T14:06:45Z","timestamp":1373983605000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":740,"title":["Phase-based video motion processing"],"prefix":"10.1145","volume":"32","author":[{"given":"Neal","family":"Wadhwa","sequence":"first","affiliation":[{"name":"MIT Computer Science and Artificial Intelligence Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Rubinstein","sequence":"additional","affiliation":[{"name":"MIT Computer Science and Artificial Intelligence Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fr\u00e9do","family":"Durand","sequence":"additional","affiliation":[{"name":"MIT Computer Science and Artificial Intelligence Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William T.","family":"Freeman","sequence":"additional","affiliation":[{"name":"MIT Computer Science and Artificial Intelligence Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2013,7,21]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185562"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/bja\/86.4.519"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0052-1"},{"key":"e_1_2_2_4_1","volume-title":"Proc. 15th European Signal Processing Conference","volume":"1","author":"Dabov K.","unstructured":"Dabov , K. , Foi , A. , and Egiazarian , K . 2007. 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Paragios Eds. vol. \n  6313\n   of \n  Lecture Notes in Computer Science\n  . \n  Springer Berlin Heidelberg 706--719.   Liu C. and Freeman W. 2010. A high-quality video denoising algorithm based on reliable motion estimation. In Computer Vision ECCV 2010 K. Daniilidis P. Maragos and N. Paragios Eds. vol. 6313 of Lecture Notes in Computer Science . Springer Berlin Heidelberg 706--719.","DOI":"10.1007\/978-3-642-15558-1_51"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1073204.1073223"},{"key":"e_1_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026553619983"},{"key":"e_1_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2009.08.010"},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995374"},{"key":"e_1_2_2_14_1","volume-title":"Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 -","volume":"3","author":"Simoncelli E. P.","unstructured":"Simoncelli , E. 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