Data Management for Multimedia Retrieval

"This textbook is a complete and excellent treatment of multimedia information retrieval and data management. It handles the entire spectrum by providing the basic theory needed and then gradually introduces the advanced techniques needed to tackle the complex issues in multimedia content retrieval."-B. Prabhakaran, University of Texas at Dallas

"An excellent and comprehensive resource on multimedia data management systems, ranging from basic multimedia data and storage models to indexing, query, and retrieval techniques specifically adapted to the intricacies of multimedia. This textbook is suited for both students to gain theoretical insight in the full range of components required for such a system and developers who want to build or improve systems."-Marcel Worring, Intelligent Systems Lab Amsterdam, University of Amsterdam

"This is a very timely book that fills a long-felt need for a comprehensive textbook possessing depth in the Multimedia Information Systems area. With a distinctive database systems perspective; it provides a refreshingly detailed and balanced treatment of the necessary multimedia content processing fundamentals. This book can serve as the reference text for senior undergraduate and graduate courses in Multimedia Information Systems. It will also be an excellent self-contained take-off point for beginning researchers in multimedia information retrieval and multimedia databases. Moreover, multimedia signal processing researchers can use it to gain a solid understanding of database systems issues."-Mohan S. Kankanhalli, School of Computing, National University of Singapore

Multimedia data require specialized management techniques because the representations of color, time, semantic concepts, and other underlying information can be drastically different from one another. The user's subjective judgment can also have significant impact on what data or features are relevant in a given context. These factors affect both the performance of the retrieval algorithms and their effectiveness. This textbook on multimedia data management techniques offers a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and professionals.

After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as color, texture, shape, and time, the book presents data structures and algorithms that help store, index, cluster, classify, and access common data representations. The authors also introduce techniques, such as relevance feedback and collaborative filtering, for bridging the "semantic gap" and present the applications of these to emerging topics, including web and social networking.