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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Narrative Structure Analysis of Lecture Video with Hierarchical Hidden Markov Model for E-Learning
verfasst von : Yu-Chi Liu, Xi-Dao Luan, Yu-Xiang Xie, Duan-Hui Dai, Ling-Da Wu
Erschienen in: Technologies for E-Learning and Digital Entertainment
Verlag: Springer Berlin Heidelberg
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In E-learning, structure analysis of lecture video is the first step for effective and efficient indexing, browsing and retrieval. A hierarchical model of narrative structure for lecture video is introduced. The root is lecture video; the next is layer of narrative elements conveying meaningful information in semantics; then is narrative features layer closely to both visual and auditory physical features. A framework is proposed to analyze narrative structure. Extraction of narrative features is described as well. Hierarchical hidden Markov model is introduced to determine the parameters and detect narrative elements automatically.