venkatesh-narrativestructure-2002.pdf (286.29 kB)
Narrative structure analysis with education and training videos for e-learning
conference contribution
posted on 2002-01-01, 00:00 authored by Quoc-Dinh Phung, C Dorai, Svetha VenkateshSvetha VenkateshThis paper deals with the problem ofstructuralizing education and training videos for high-level semantics extraction and nonlinear media presentation in e-learning applications. Drawing guidance from production knowledge in instructional media, we propose six main narrative structures employed in education and training videos for both motivation and demonstration during learning and practical training. We devise a powerful audiovisual feature set, accompanied by a hierarchical decision tree-based classification system to determine and discriminate between these structures. Based on a two-liered hierarchical model, we demonstrate that we can achieve an accuracy of 84.7% on a comprehensive set of education and training video data.
History
Event
International Conference on Pattern Recognition (16th : 2002 : Quebec, Canada)Pagination
835 - 838Publisher
IEEELocation
Quebec, CanadaPlace of publication
Los Alamitos, Calif.Publisher DOI
Start date
2002-08-11End date
2002-08-15ISSN
1051-4651Language
engNotes
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E1.1 Full written paper - refereedCopyright notice
2002, IEEETitle of proceedings
ICPR 2002 : Proceedings of the 16th International Conference on Pattern RecognitionUsage metrics
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