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Video summarization by learning deep side semantic embedding.\u00a0IEEE Transactions on Circuits and Systems for Video Technology,\u00a029(1), 226-237."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00809"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3372278.3390695"},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.229"},{"key":"e_1_3_2_2_56_1","first-page":"4","volume-title":"Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on","author":"Li B.","unstructured":"Y. Li and B. Merialdo. Multi-video summarization based on video-mmr. In Image Analysis for Multimedia Interactive Services (WIAMIS), 2010 11th International Workshop on, pages 1\u20134. 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Video summarization using a network of radial basis functions.\u00a0Multimedia systems,\u00a018(6), 483-497."},{"key":"e_1_3_2_2_81_1","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2009.53"},{"key":"e_1_3_2_2_82_1","volume-title":"Proceedings of European Conference on Computer Vision, 505-520","author":"Michael Gygli","year":"2014","unstructured":"Michael Gygli, Helmut Grabner, Hayko Riemenschneider, and Luc Van Gool1 (2014), \"Creating Summaries from User Videos\", in Proceedings of European Conference on Computer Vision, 505-520."},{"key":"e_1_3_2_2_83_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408934"},{"key":"e_1_3_2_2_84_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.179"},{"key":"e_1_3_2_2_85_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.03.021"},{"key":"e_1_3_2_2_86_1","first-page":"527","volume-title":"ICIP","volume":"2","author":"Assfalg M.","year":"2003","unstructured":"J. Assfalg, M. Bertini, C. Colombo, A. D. Bimbo and W. 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