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Books > Computing & IT > Applications of computing > Databases
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Content-Based Video Retrieval - A Database Perspective (Paperback, 1st ed. Softcover of orig. ed. 2003)
Loot Price: R2,888
Discovery Miles 28 880
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Content-Based Video Retrieval - A Database Perspective (Paperback, 1st ed. Softcover of orig. ed. 2003)
Series: Multimedia Systems and Applications, 25
Expected to ship within 10 - 15 working days
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The area of content-based video retrieval is a very hot area both
for research and for commercial applications. In order to design
effective video databases for applications such as digital
libraries, video production, and a variety of Internet
applications, there is a great need to develop effective techniques
for content-based video retrieval. One of the main issues in this
area of research is how to bridge the semantic gap between
low-Ievel features extracted from a video (such as color, texture,
shape, motion, and others) and semantics that describe video
concept on a higher level. In this book, Dr. Milan Petkovi6 and
Prof. Dr. Willem Jonker have addressed this issue by developing and
describing several innovative techniques to bridge the semantic
gap. The main contribution of their research, which is the core of
the book, is the development of three techniques for bridging the
semantic gap: (1) a technique that uses the spatio-temporal
extension of the Cobra framework, (2) a technique based on hidden
Markov models, and (3) a technique based on Bayesian belief
networks. To evaluate performance of these techniques, the authors
have conducted a number of experiments using real video data. The
book also discusses domains solutions versus general solution of
the problem. Petkovi6 and Jonker proposed a solution that allows a
system to be applied in multiple domains with minimal adjustments.
They also designed and described a prototype video database
management system, which is based on techniques they proposed in
the book.
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