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OverviewBridging the gap between the database and signal processing communities, this text provides the necessary background information for the reader and presents along intuition and mechanics of the best existing tools in each area. The first half of the text reviews the most successful database access methods, in increasing complexity, reaching up to spatial access methods and text retrieval. In all cases, the emphasis is on practical approaches that have been incorporated in commercial systems, or that seem very promising. The second half uses the above access methods to achieve fast searching in a database of signals. A general methodology is presented, which suggests extracting good features from each multimedia object, thus mapping objects into points in a metric space. Finally, the book concludes by presenting some recent successful applications of the methodology on time series and color images. This work is targeted towards researchers and developers of multimedia systems and can also serve as a textbook for a graduate course on multimedia searching, covering both access methods as well as the basics of signal processing. Full Product DetailsAuthor: Christos FaloutsosPublisher: Springer Imprint: Springer Edition: 1996 ed. Volume: 3 Dimensions: Width: 15.60cm , Height: 1.10cm , Length: 23.40cm Weight: 0.930kg ISBN: 9780792397779ISBN 10: 0792397770 Pages: 155 Publication Date: 30 September 1996 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1 Introduction.- I Database Indexing Methods.- 2 Introduction to Relational DBMS.- 3 Primary Key Access Methods.- 4 Secondary Key Access Methods.- 5 Spatial Access Methods (SAMS).- 6 Access Methods For Text.- II Indexing Signals.- 7 Problem - Intuition.- 8 1-D Time Sequences.- 9 2-D Color Images.- 10 Sub-Pattern Matching.- 11 Fastmap.- 12 Conclusions.- III Mathematical Toolbox.- A Preliminaries.- B Fourier Analysis.- C Wavelets.- D K-L and SVD.- References.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |