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

Milan Petkovic (Author), Willem Jonker (Author)

Price: $119.00 & this item ships for FREE with Super Saver Shipping. Details
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Book Description

October 31, 2003 1402076177 978-1402076176 1
This book focuses particularly on content-based video retrieval. After addressing basic concepts and techniques in the field, Content-Based Video Retrieval: A Database Perspective concentrates on the semantic gap problem, i.e., the problem of inferring semantics from raw video data, as the main problem of content-based video retrieval. This book identifies and proposes the integrated use of three different techniques to bridge the semantic gap, namely, spatio-temporal formalization methods, hidden Markov models, and dynamic Bayesian networks. As the problem is approached from a database perspective, the emphasis evolves from a database management system into a video database management system. This system allows a user to retrieve the desired video sequence among voluminous amounts of video data in an efficient and semantically meaningful way. This book also presents a modeling framework and a prototype of a content-based video management system that integrates the three methods and provides efficient, flexible, and scalable content-based video retrieval. The proposed approach is validated in the domain of sport videos for which some experimental results are presented.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
video database management system, new feature extractors, player segmentation, tennis domain, query preprocessor, raw video data, video data model, dynamic feature extraction, consecutive time slices, automatic learning capabilities, video retrieval system, semantic gap problem, video entities, video framework, video structure, skin colored pixels, based video retrieval, stroke recognition, video semantics, shot segmentation, video engine, digital library search, skeleton features, tennis videos, database kernel
Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, Australian Open, Michael Schumacher, Technical Report, German Grand Prix, San Jose, George Lucas, Morgan Kaufmann, Kluwer Academic Publishers, Monet Interface Language, Requirements Group, Managing Multimedia Information, Mel-Frequency Cepstral Coefficients
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