Topic transition detection using hierarchical hidden Markov and semi-Markov models

Topic transition detection using hierarchical hidden Markov and semi-Markov models

In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic detection framework is a combination of a shot classification step and a detection phase using hierarchical probabilistic...

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Bibliographic Details
Main Authors: Phung, Dinh, Venkatesh, Svetha, Duong, Thi, Bui, Hung H.
Other Authors: ACM Press
Format: Conference Paper
Published: ACM Press 2005
Subjects:
Hierarchical Markov (Semi-Markov) Models
Topic Transition Detection
Management
Coxian
Algorithms
Content Analysis and Indexing
Educational Videos
Information Storage and Retrieval
Online Access:http://doi.acm.org/10.1145/1101149.1101153
http://hdl.handle.net/20.500.11937/18410

Internet

http://doi.acm.org/10.1145/1101149.1101153
http://hdl.handle.net/20.500.11937/18410

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