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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

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Files:
Publisher copy:
10.1145/1646396.1646406

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-8945-8573


More from this funder
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

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