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Neighborhood Coherence and Edge Based Approaches to Film Scene Extraction
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104831116th International Conference on Patt ...
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Ba Tu Truong, Curtin University of Technology
Svetha Venkatesh, Curtin University of Technology
Chitra Dorai, IBM TJ Watson Research Center
In order to enable high-level semantics-based video annotation and interpretation, we tackle the problem of automatic decomposition of motion pictures into meaningful story units, namely scenes. Since a scene is a complicated and subjective concept, we first propose guidelines from film production to determine when a scene change occurs in film. We examine different rules and conventions followed as part of Film Grammar to guide and shape our algorithmic solution for determining a scene boundary. Two different techniques are proposed as new solutions in this paper. Our experimental results on 10 full-length movies show that our technique based on shot sequence coherence performs well and reasonably better than the color edges-based approach.
Citation:
Ba Tu Truong, Svetha Venkatesh, Chitra Dorai, "Neighborhood Coherence and Edge Based Approaches to Film Scene Extraction," icpr, vol. 2, pp.20350, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002
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