{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T02:16:36Z","timestamp":1774059396727,"version":"3.50.1"},"reference-count":32,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2015,7,27]],"date-time":"2015-07-27T00:00:00Z","timestamp":1437955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2015,7,27]]},"abstract":"<jats:p>We introduce an approach for synthesizing time-lapse videos of popular landmarks from large community photo collections. The approach is completely automated and leverages the vast quantity of photos available online. First, we cluster 86 million photos into landmarks and popular viewpoints. Then, we sort the photos by date and warp each photo onto a common viewpoint. Finally, we stabilize the appearance of the sequence to compensate for lighting effects and minimize flicker. Our resulting time-lapses show diverse changes in the world's most popular sites, like glaciers shrinking, skyscrapers being constructed, and waterfalls changing course.<\/jats:p>","DOI":"10.1145\/2766903","type":"journal-article","created":{"date-parts":[[2015,7,28]],"date-time":"2015-07-28T12:26:38Z","timestamp":1438086398000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":50,"title":["Time-lapse mining from internet photos"],"prefix":"10.1145","volume":"34","author":[{"given":"Ricardo","family":"Martin-Brualla","sequence":"first","affiliation":[{"name":"University of Washington"}]},{"given":"David","family":"Gallup","sequence":"additional","affiliation":[{"name":"Google Inc."}]},{"given":"Steven M.","family":"Seitz","sequence":"additional","affiliation":[{"name":"University of Washington and Google Inc."}]}],"member":"320","published-online":{"date-parts":[[2015,7,27]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.185"},{"key":"e_1_2_2_2_1","volume-title":"Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE, 262--269","author":"Ackermann J."},{"key":"e_1_2_2_3_1","unstructured":"Agarwal S. Mierle K. and Others. Ceres Solver. http:\/\/ceres-solver.org.  Agarwal S. Mierle K. and Others. Ceres Solver. http:\/\/ceres-solver.org."},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2001269.2001293"},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/ietfec\/e91-a.10.2918"},{"key":"e_1_2_2_6_1","unstructured":"Apple. Apple iOS8 camera.  Apple. Apple iOS8 camera."},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1805964.1805968"},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1275808.1276505"},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.969114"},{"key":"e_1_2_2_10_1","unstructured":"Extreme Ice Survey. http:\/\/extremeicesurvey.org.  Extreme Ice Survey. http:\/\/extremeicesurvey.org."},{"key":"e_1_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276382"},{"key":"e_1_2_2_12_1","volume-title":"Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR).","author":"Hays J."},{"key":"e_1_2_2_13_1","unstructured":"Instagram. Hyperlapse app.  Instagram. Hyperlapse app."},{"key":"e_1_2_2_14_1","volume-title":"Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, 1102--1109","author":"Jacobs N."},{"key":"e_1_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000015917.35451.df"},{"key":"e_1_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661229.2661256"},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1964921.1964956"},{"key":"e_1_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366221"},{"key":"e_1_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2601097.2601101"},{"key":"e_1_2_2_20_1","volume-title":"Proc. European Conf. on Computer Vision.","author":"Matzen K."},{"key":"e_1_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995374"},{"key":"e_1_2_2_22_1","volume-title":"Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, 1410--1417","author":"Schindler G."},{"key":"e_1_2_2_23_1","volume-title":"Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on, 1--7.","author":"Schindler G."},{"key":"e_1_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508419"},{"key":"e_1_2_2_25_1","first-page":"1","article-title":"Scene summarization for online image collections","volume":"7","author":"Simon I.","year":"2007","journal-title":"ICCV"},{"key":"e_1_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1275808.1276504"},{"key":"e_1_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126515"},{"key":"e_1_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.22"},{"key":"e_1_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1080\/10867651.2004.10487596"},{"key":"e_1_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Ulusoy A. O. and Mundy J. L. 2014. Image-based 4-d reconstruction using 3-d change detection. In Computer Vision--ECCV 2014. Springer 31--45.  Ulusoy A. O. and Mundy J. L. 2014. Image-based 4-d reconstruction using 3-d change detection. In Computer Vision--ECCV 2014. Springer 31--45.","DOI":"10.1007\/978-3-319-10578-9_3"},{"key":"e_1_2_2_31_1","volume-title":"Proceedings of the 20th British Machine Vision Conference.","author":"Whyte O."},{"key":"e_1_2_2_32_1","unstructured":"Wu C. 2011. VisualSFM: A visual structure from motion system. http:\/\/ccwu.me\/vsfm.  Wu C. 2011. VisualSFM: A visual structure from motion system. http:\/\/ccwu.me\/vsfm."}],"container-title":["ACM Transactions on Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2766903","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2766903","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T18:56:02Z","timestamp":1750272962000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2766903"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,27]]},"references-count":32,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2015,7,27]]}},"alternative-id":["10.1145\/2766903"],"URL":"https:\/\/doi.org\/10.1145\/2766903","relation":{},"ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,7,27]]},"assertion":[{"value":"2015-07-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}