Dynamic shot suggestion filtering for home video based on user performance Adams, Brett and Venkatesh, Svetha 2005, Dynamic shot suggestion filtering for home video based on user performance, in MM'05 : Proceedings of the 13th ACM International Conference on Multimedia, Association for Computing Machinery, New York, N. Y., pp. 363-366, doi: 10.1145/1101149.1101226. Attached Files Name Description MIMEType Size Downloads Title Dynamic shot suggestion filtering for home video based on user performance Author(s) Adams, Brett Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name ACM International Conference on Multimedia (13th : 2005 : Singapore, Singapore) Conference location Singapore, Singapore Conference dates 6-11 Nov. 2005 Title of proceedings MM'05 : Proceedings of the 13th ACM International Conference on Multimedia Editor(s) [Unknown] Publication date 2005 Conference series ACM International Conference on Multimedia Start page 363 End page 366 Total pages 4 Publisher Association for Computing Machinery Place of publication New York, N. Y. Keyword(s) media aesthetics home video shot suggestion Summary This paper presents novel additions to our existing amateur media creation framework. The framework provides at-capture guidance to enable the home movie maker to realize their aesthetic and narrative goals and automation of post-production editing. A common problem with the amateur filming context is its contingent nature, which often results in the failure to gain footage vital to the user's goals, even with at-capture software embedding. Accordingly, we have modelled minimizing the difference between target and captured footage at a given time during filming as a probability distribution divergence problem. We apply two policies of feedback to the user on their performance, passive communication via a suggestion desirability measure, and active filtering of undesirable suggestions. We demonstrate the framework using each policy with a simulation of various user and filming situations with promising results. ISBN 1595930442 Language eng DOI 10.1145/1101149.1101226 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 ©2005, ACM Persistent URL http://hdl.handle.net/10536/DRO/DU:30044913 Document type: Conference Paper Collection: School of Information Technology 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. Versions Version Filter Type Tue, 01 May 2012, 11:06:12 EST Tue, 08 May 2012, 13:10:33 EST Tue, 08 May 2012, 13:13:09 EST Sat, 17 Jun 2017, 03:11:30 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 315 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 11:06:12 EST

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