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The spatial saliency of a video frame is computed using color contrast and color distribution estimations and center prior integration. The temporal saliency of a video frame is estimated as an integration of local and global temporal saliencies computed using patch level optical flow abstractions. Finally, top ranked shots with the highest saliency scores are selected for generating the video summary. The objective and subjective experimental results demonstrate the efficacy of the proposed approach.<\/jats:p>","DOI":"10.4018\/ijmdem.2019070101","type":"journal-article","created":{"date-parts":[[2019,12,23]],"date-time":"2019-12-23T11:18:12Z","timestamp":1577099892000},"page":"1-26","source":"Crossref","is-referenced-by-count":3,"title":["Movie Video Summarization- Generating Personalized Summaries Using Spatiotemporal Salient Region Detection"],"prefix":"10.4018","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7812-8595","authenticated-orcid":true,"given":"Rajkumar","family":"Kannan","sequence":"first","affiliation":[{"name":"Bishop Heber College, Tiruchirappalli, India"}]},{"given":"Sridhar","family":"Swaminathan","sequence":"additional","affiliation":[{"name":"Bennett University, Greater Noida, India"}]},{"given":"Gheorghita","family":"Ghinea","sequence":"additional","affiliation":[{"name":"School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, UK & Norwegian School of Information Technology, Oslo, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5003-7579","authenticated-orcid":true,"given":"Frederic","family":"Andres","sequence":"additional","affiliation":[{"name":"National Institute of Informatics, Chiyoda City, Japan"}]},{"given":"Kalaiarasi Sonai Muthu","family":"Anbananthen","sequence":"additional","affiliation":[{"name":"Multimedia University Malacca, Bukit Beruang, Malaysia"}]}],"member":"2432","reference":[{"key":"IJMDEM.2019070101-0","first-page":"1","article-title":"Video summarization: techniques and classification.","author":"M.Ajmal","year":"2012","journal-title":"International Conference on Computer Vision and Graphics"},{"key":"IJMDEM.2019070101-1","doi-asserted-by":"publisher","DOI":"10.1117\/12.765527"},{"key":"IJMDEM.2019070101-2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.89"},{"key":"IJMDEM.2019070101-3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298981"},{"key":"IJMDEM.2019070101-4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2010.08.004"},{"key":"IJMDEM.2019070101-5","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2012.10.002"},{"key":"IJMDEM.2019070101-6","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2013.10.005"},{"key":"IJMDEM.2019070101-7","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-76316-3_8"},{"key":"IJMDEM.2019070101-8","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2008.4712308"},{"key":"IJMDEM.2019070101-9","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2267205"},{"key":"IJMDEM.2019070101-10","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2013.07.005"},{"key":"IJMDEM.2019070101-11","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2014.6890642"},{"key":"IJMDEM.2019070101-12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.272"},{"key":"IJMDEM.2019070101-13","doi-asserted-by":"publisher","DOI":"10.1145\/2632267"},{"key":"IJMDEM.2019070101-14","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2005.1530602"},{"key":"IJMDEM.2019070101-15","unstructured":"Guo, C., Ma, Q., & Zhang, L. 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