venkatesh-neighborhoodcoherance-2002.pdf (280 kB)
Neighborhood coherence and edge based approaches to film scene extraction
conference contribution
posted on 2002-01-01, 00:00 authored by B Truong, Svetha VenkateshSvetha Venkatesh, C DoraiIn 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.
History
Event
International Conference on Pattern Recognition (16th : 2002 : Quebec, Canada)Pagination
350 - 353Publisher
IEEELocation
Quebec, CanadaPlace of publication
Los Alamitos, Calif.Publisher DOI
Start date
2002-08-11End date
2002-08-15ISSN
1051-4651ISBN-13
9780769516967ISBN-10
0769516963Language
engNotes
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.Publication classification
E1.1 Full written paper - refereedCopyright notice
2002, IEEEEditor/Contributor(s)
R Kasturi, D Laurendeau, C SuenTitle of proceedings
ICPR 2002 : Proceedings of the International Conference on Pattern RecognitionUsage metrics
Categories
No categories selectedKeywords
camerascoherenceguidelinesgunshot detection systemsimage edge detectionlayoutmotion detectionmotion picturesobject detectionshapeScience & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicImaging Science & Photographic TechnologyComputer ScienceEngineering
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