A wide-ranging textbook covering data structures and algorithms for storing, indexing, clustering, classifying, and accessing common multimedia data representations.
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K. Selçuk Candan is a Professor of Computer Science and Engineering at Arizona State University. He received his Ph.D. in 1997 from the University of Maryland at College Park. Candan has authored more than 120 conference and journal articles, 9 patents, and many book chapters and, among his other scientific positions, has served as program chair for ACM Multimedia Conference '08, the Int. Conference on Image and Video Retrieval (CIVR'10), and as an organizing committee member for ACM SIG Management of Data Conference (SIGMOD'06). Since 2005, he has also served as an editorial board member for the Very Large Databases (VLDB) journal.
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Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:9780521887397. Bestandsnummer des Verkäufers 3964532
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Hardcover. Zustand: new. Hardcover. Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other underlying information can be drastically different from one another. This textbook on multimedia data management techniques gives 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 to professionals. After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as colour, 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. This wide-ranging textbook on multimedia data management gives a unified perspective on retrieval efficiency and effectiveness. It presents data structures and algorithms for storing, indexing, clustering, classifying, and accessing common multimedia data representations, plus related techniques such as relevance feedback and collaborative filtering. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9780521887397
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 512 pages. 10.00x7.20x1.10 inches. In Stock. This item is printed on demand. Bestandsnummer des Verkäufers __0521887399
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Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Bestandsnummer des Verkäufers C9780521887397
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Gebundene Ausgabe. Zustand: Gut. Gebraucht - Gut Neuware, Importqualität, Sofortversand - A wide-ranging textbook covering data structures and algorithms for storing, indexing, clustering, classifying, and accessing common multimedia data representations. Bestandsnummer des Verkäufers INF1000133775
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