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For a preview of the movie's exciting action parts, we propose a trailer-like video highlight, whose aim is to show only the most interesting parts of the movie. Our method is based on a relatively standard approach, i.e., highlighting action through the analysis of the movie's rhythm and visual activity information. To suit every type of movie content, including predominantly static movies or movies without exciting parts, the concept of action depends on the movie's average rhythm. The efficiency of our approach is confirmed through several end-user studies.<\/jats:p>","DOI":"10.1117\/1.3456697","type":"journal-article","created":{"date-parts":[[2010,7,2]],"date-time":"2010-07-02T18:05:10Z","timestamp":1278093910000},"page":"1-14","source":"Crossref","is-referenced-by-count":2,"title":["Tackling action-based video abstraction of animated movies for video browsing"],"prefix":"10.1117","volume":"19","author":[{"given":"Bogdan E.","family":"Ionescu","sequence":"first","affiliation":[{"name":"Polytechnical Univ. of Bucharest"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurent","family":"Ott","sequence":"additional","affiliation":[{"name":"Ecole Nationale Sup\u00e9rieure de Physique de Strasbourg"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Lambert","sequence":"additional","affiliation":[{"name":"Univ. de Savoie"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Didier","family":"Coquin","sequence":"additional","affiliation":[{"name":"Univ. de Savoie"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandra","family":"Pacureanu","sequence":"additional","affiliation":[{"name":"Polytechnical Univ. of Bucharest"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vasile V.","family":"Buzuloiu","sequence":"additional","affiliation":[{"name":"Polytechnical Univ. of Bucharest"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"189","reference":[{"key":"10.1117\/1.3456697_r1","unstructured":"Y. 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Divakaran , \u201cGeneration of sports highlights using motion activity in combination with a common audio feature extraction framework,\u201d in\n                      Proc. IEEE Int. Conf. on Image Processing\n                      , Vol. 1, pp. 5\u20138, Barcelona (2003).","DOI":"10.1109\/ICIP.2003.1246884"},{"key":"10.1117\/1.3456697_r11","doi-asserted-by":"crossref","unstructured":"F. Coldefy and P. Bouthemy ,\n                      Unsupervised Soccer Video Abstraction Based on Pitch, Dominant Color and Camera Motion Analysis, ACM Multimedia\n                      , pp. 268\u2013271, ACM, New York (2004).","DOI":"10.1145\/1027527.1027588"},{"key":"10.1117\/1.3456697_r12","doi-asserted-by":"crossref","unstructured":"B. Yu, W.-Y. Ma, K. Nahrstedt, and H.-J. Zhang ,\n                      Video Summarization Based on User Log Enahnced Link Analysis, ACM Multimedia\n                      , pp. 382\u2013391, ACM, Berkley, CA (2003).","DOI":"10.1145\/957092.957095"},{"key":"10.1117\/1.3456697_r13","doi-asserted-by":"crossref","unstructured":"C.-Z. Zhu, T. Mei, and X.-S. Hua ,\n                      Video booklet\u2014natural video browsing\n                      , pp. 265\u2013266, ACM Multimedia, Singapore (2005).","DOI":"10.1145\/1101826.1101846"},{"key":"10.1117\/1.3456697_r14","doi-asserted-by":"crossref","unstructured":"G. Ciocca and R. Schettini , \u201cDynamic storyboards for video content summarization,\u201d in\n                      Proc. ACM Int. Workshop on Multimedia Information Retrieval\n                      , pp. 259\u2013268, Santa Barbara, CA (2006).","DOI":"10.1145\/1178677.1178713"},{"key":"10.1117\/1.3456697_r15","doi-asserted-by":"crossref","unstructured":"R. Laganiere, R. Bacco, A. Hocevar, P. Lambert, G. Pays, and B. Ionescu , \u201cVideo summarization from spatio-temporal features,\u201d in\n                      Proc. ACM Int. Conf. on Multimedia, Trecvid BBC Rushes Summarization Workshop\n                      , Vancouver, Canada (2008).","DOI":"10.1145\/1463563.1463590"},{"key":"10.1117\/1.3456697_r16","unstructured":"CITIA\u2014City of Moving Images , http:\/\/www.citia. info\/."},{"key":"10.1117\/1.3456697_r17","doi-asserted-by":"crossref","unstructured":"A. F. Smeaton, B. Lehane, N. E. O\u2019Connor, C. Brady, and G. Craig , \u201cAutomatically selecting shots for action movie trailers,\u201d in\n                      Proc. ACM Int. Workshop on Multimedia Information Retrieval\n                      , pp. 231\u2013238, Santa Barbara (2006).","DOI":"10.1145\/1178677.1178709"},{"key":"10.1117\/1.3456697_r18","unstructured":"R. Lienhart, S. Pfeiffer, and W. 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Conf. on Image and Video Retrieval\n                      , pp. 49\u201356, Amsterdam (2007).","DOI":"10.1145\/1282280.1282287"},{"key":"10.1117\/1.3456697_r21","doi-asserted-by":"crossref","unstructured":"M. Furini, F. Geraci, M. Montangero, and M. Pellegrini , \u201cSTIMO: still and moving video storyboard for the web scenario,\u201d Multimed. Tools Appl., 46(1), 47\u201369 (2010).","DOI":"10.1007\/s11042-009-0307-7"},{"key":"10.1117\/1.3456697_r22","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-006-0001-1"},{"key":"10.1117\/1.3456697_r23","doi-asserted-by":"publisher","DOI":"10.1049\/ip-vis:20045109"},{"key":"10.1117\/1.3456697_r24","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141967"},{"key":"10.1117\/1.3456697_r25","doi-asserted-by":"publisher","DOI":"10.1155\/2008\/849625"},{"key":"10.1117\/1.3456697_r26","doi-asserted-by":"publisher","DOI":"10.1142\/S021946780100027X"},{"key":"10.1117\/1.3456697_r27","doi-asserted-by":"crossref","unstructured":"B. Ionescu, V. Buzuloiu, P. Lambert, and D. Coquin , \u201cImproved cut detection for the segmentation of animation movies,\u201d in\n                      Proc. IEEE Int. Conf. on Acoustic, Speech and Signal Processing\n                      , Toulouse, France (2006).","DOI":"10.1109\/ICASSP.2006.1660424"},{"key":"10.1117\/1.3456697_r28","doi-asserted-by":"crossref","unstructured":"W. A. C. Fernando, C. N. Canagarajah, and D. R. Bull , \u201cFade and dissolve detection in uncompressed and compressed video sequence,\u201d in\n                      Proc. IEEE Int. Conf. on Image Processing\n                      , pp. 299\u2013303, Kobe, Japan (1999).","DOI":"10.1109\/ICIP.1999.817121"},{"key":"10.1117\/1.3456697_r29","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2005.858394"},{"key":"10.1117\/1.3456697_r30","unstructured":"B. Ionescu , \u201cContent-based semantic retrieval of video documents, application to navigation, research and automatic content abstraction,\u201d LAPI\u2014Image Processing and Analysis Laboratory, CNCSIS Project RP-2, http:\/\/alpha.imag.pub.ro\/VideoIndexingRP2\/ (2007)."},{"key":"10.1117\/1.3456697_r31","unstructured":"B. Ionescu, D. Coquin, P. Lambert, and V. Buzuloiu , \u201cFuzzy semantic action and color characterization of animation movies in the video indexing task context,\u201d in Springer-Verlag\n                      LNCS, Lecture Notes in Computer Science\n                      , S. Marchand-Maillet et al. , Eds., Vol. 4398, pp. 119\u2013135 (2007)."},{"key":"10.1117\/1.3456697_r32","unstructured":"Folimage Animation Company , http:\/\/www.folimage. fr\/."},{"key":"10.1117\/1.3456697_r33","doi-asserted-by":"crossref","unstructured":"B. Ionescu, P. Lambert, D. Coquin, L. Ott, and V. 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