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Content-Based Video Retrieval : A Database Perspective (Multimedia Systems and Applications)

Petkovic, Milan
Jonker, Willem

Published:October 31, 2003

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Description: From Book News, Inc.
Because of the huge amount of data involved in digital video libraries and databases, content-based retrieval is desirable but complex. Identifying the semantic gap problem--how to recognize content from raw video data--as the most significant problem of video retrieval, Petkovic and Jonker (both of the U. of Twente, the Netherlands) propose the integrated use of spatio-temporal formalization methods, hidden Markov models, and dynamic Bayesian networks as a means of approaching the problem of video database management. After presenting the approach and proposing an appropriate management system, they provide discussion of experimental results from the domain of sport videos.Copyright # 2004 Book News, Inc., Portland, OR

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