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
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.
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.