Conference item
Automatic retrieval of visual continuity errors in movies
- Abstract:
-
Continuity errors occur in many movies and television series, in spite of careful checking by those employed to minimise them. In this work we develop a scheme for automatically detecting these errors and producing a ranked list of the most likely inconsistencies, working from a commercial DVD release. We use the editing structure of the movie to detect pairs of shots within a scene that might have arisen from different takes, and thus are possible candidates for continuity errors. These pairs are then registered and examined for differences that lack an obvious cause -- suppressing changes arising from humans and other moving objects by using upper body detectors and trackers. The result is a ranked list of possible continuity errors for the movie.
We show discovered errors for a number of feature length movies including relatively recent releases, such as 'Love Actually' (Curtis, 2003) and classics, such as 'Pretty Woman' (Marshall, 1990). We discover mistakes that have previously been missed in the listings for these movies on such websites as moviemistakes.com.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 505.2KB, Terms of use)
-
- Publisher copy:
- 10.1145/1646396.1646406
Authors
- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/D037077/1
- Publisher:
- Association for Computing Machinery
- Host title:
- CIVR '09: Proceedings of the ACM International Conference on Image and Video Retrieval
- Article number:
- 7
- Publication date:
- 2009-07-08
- Event title:
- ACM International Conference on Image and Video Retrieval (CIVR 2009)
- Event location:
- Santorini Island, Greece
- Event start date:
- 2009-07-08
- Event end date:
- 2009-07-10
- DOI:
- Language:
-
English
- Keywords:
- Pubs id:
-
1770615
- Local pid:
-
pubs:1770615
- Deposit date:
-
2024-07-23
Terms of use
- Copyright holder:
- ACM
- Copyright date:
- 2009
- Rights statement:
- Copyright © 2009 ACM.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Association for Computing Machinery at https://dx.doi.org/10.1145/1646396.1646406
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