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...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
ACM Press
2005
|
| Online Access: | http://hdl.handle.net/20.500.11937/27518 |
| _version_ | 1848752285963780096 |
|---|---|
| author | Adams, Brett Venkatesh, Svetha |
| author2 | ACM Press |
| author_facet | ACM Press Adams, Brett Venkatesh, Svetha |
| author_sort | Adams, Brett |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T08:06:12Z |
| format | Conference Paper |
| id | curtin-20.500.11937-27518 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:06:12Z |
| publishDate | 2005 |
| publisher | ACM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-275182017-09-13T15:06:01Z Dynamic shot suggestion filtering for home video based on user performance Adams, Brett Venkatesh, Svetha ACM Press 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. 2005 Conference Paper http://hdl.handle.net/20.500.11937/27518 10.1145/1101149.1101226 ACM Press restricted |
| spellingShingle | Adams, Brett Venkatesh, Svetha Dynamic shot suggestion filtering for home video based on user performance |
| title | Dynamic shot suggestion filtering for home video based on user performance |
| title_full | Dynamic shot suggestion filtering for home video based on user performance |
| title_fullStr | Dynamic shot suggestion filtering for home video based on user performance |
| title_full_unstemmed | Dynamic shot suggestion filtering for home video based on user performance |
| title_short | Dynamic shot suggestion filtering for home video based on user performance |
| title_sort | dynamic shot suggestion filtering for home video based on user performance |
| url | http://hdl.handle.net/20.500.11937/27518 |