Determining dramatic intensification via flashing lights in movies Truong, Ba Tu and Venkatesh, Svetha 2001, Determining dramatic intensification via flashing lights in movies, in ICME 2001 : Proceedings of the IEEE International Conference on Multimedia and Expo, IEEE, [Washington, D. C.], pp. 61-64, doi: 10.1109/ICME.2001.1237655. Attached Files Name Description MIMEType Size Downloads venkatesh-determiningdramatic-2001.pdf Published version application/pdf 342.69KB 187 Title Determining dramatic intensification via flashing lights in movies Author(s) Truong, Ba Tu Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name International Conference on Multimedia and Expo (2001 : Tokyo, Japan) Conference location Tokyo, Japan Conference dates 22-25 Aug. 2001 Title of proceedings ICME 2001 : Proceedings of the IEEE International Conference on Multimedia and Expo Editor(s) [Unknown] Publication date 2001 Conference series International Conference on Multimedia and Expo Start page 61 End page 64 Total pages 4 Publisher IEEE Place of publication [Washington, D. C.] Keyword(s) algorithm design and analysis atmosphere computer science data mining layout mood motion pictures robustness streaming media video sequences Summary Movie directors and producers worldwide, in their quest to narrate a good story that warrants repeated audience viewing, use many cinematic elements to intensify and clarify the viewing experience. One such element that directors manipulate is lighting. In this paper we examine one aspect of lighting, namely flashing lights, and its role as an intensifier of dramatic effects in film. We present an algorithm for robust extraction of flashing lights and a simple mechanism to group detected flashing lights into flashing light scenes and analyze the role of these segments in story narration. In addition, we demonstrate how flashing lights detection can improve the performance of shot-based video segmentation. Experiments on a number of video sequences extracted from real movies yields good results. Our technique detects 90.4% of flashing lights. The detected flashing lights correctly eliminates 92.7% of false cuts in these sequences. In addition, data support is compiled to demonstrate the association between flashing light scenes and certain dramatic intensification events such as supernatural power, crisis or excitement. Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. ISBN 0769511988 Language eng DOI 10.1109/ICME.2001.1237655 Field of Research 089999 Information and Computing Sciences not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2001, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30044907 Document type: Conference Paper Collections: School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 01 May 2012, 11:05:50 EST Tue, 08 May 2012, 13:30:57 EST Tue, 08 May 2012, 13:32:23 EST Tue, 16 Sep 2014, 08:26:05 EST Tue, 06 Sep 2016, 18:53:37 EST Sat, 17 Jun 2017, 03:11:25 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 11 times in Scopus Search Google Scholar Access Statistics: 343 Abstract Views, 187 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 11:05:50 EST

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