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Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives

Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives

Chia-Hung Wei, Yue Li
Copyright: © 2011 |Pages: 408
ISBN13: 9781616928599|ISBN10: 161692859X|EISBN13: 9781616928612
DOI: 10.4018/978-1-61692-859-9
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MLA

Wei, Chia-Hung, and Yue Li, editors. Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives. IGI Global, 2011. https://doi.org/10.4018/978-1-61692-859-9

APA

Wei, C. & Li, Y. (Eds.). (2011). Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives. IGI Global. https://doi.org/10.4018/978-1-61692-859-9

Chicago

Wei, Chia-Hung, and Yue Li, eds. Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-859-9

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As the size of multimedia databases grows, retrieval becomes a key challenge in multimedia database management. Accordingly, it is necessary to apply machine learning techniques to automatically tune the mechanism of multimedia retrieval systems.

Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives disseminates current information on multimedia retrieval, advances the field of multimedia databases, and educates the multimedia database community. It is a critical text for professionals who are engaged in efforts to understand machine learning techniques for adaptive multimedia retrieval research, design and applications.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Editorial Advisory Board
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Preface
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Acknowledgment
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Chapters
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Chapter 1
Section 1  (pages 21-21)
Section 1
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Chapter 2
Section 2  (pages 115-115)
Section 2
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Chapter 3
Section 3  (pages 213-213)
Section 3
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Chapter 4
Section 4  (pages 286-286)
Section 4
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Back Materials
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Compilation of References
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About the Contributors
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Index
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