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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.

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Title Dynamic shot suggestion filtering for home video based on user performance
Author(s) Adams, Brett
Venkatesh, SvethaORCID iD for 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
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