Recurring Element Detection in Movies
Abstract
Recurring elements in movies contribute significantly to the development of narration, themes, or even mood. The detection of such elements is impeded by the large variance of their visual appearance and usually relies on the experience and attentiveness of the viewer. In this paper, we present a new approach for the automated detection of recurring elements in movies such as motifs and main characters. Performed experiments show the reliability of the algorithm and its potential for automated high-level film analysis.
Top- Zaharieva, Maia
- Breiteneder, Christian
Shortfacts
Category |
Paper in Conference Proceedings or in Workshop Proceedings (Paper) |
Event Title |
International Conference on Multimedia Modeling |
Divisions |
Multimedia Information Systems |
Event Location |
Klagenfurt, Austria |
Event Type |
Conference |
Event Dates |
4-6 Jan 2012 |
Series Name |
LNCS |
Publisher |
Springer-Verlag |
Page Range |
pp. 222-232 |
Date |
2012 |
Export |