Numeric databases

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Jeffrey D. Ullman

1. The material on optimization has been expanded, by including a discussion of the System R approach to optimization, tableau-based methods, and optimization in the distributed environment. 2. There is a discussion of universal relation systems, which are relational database systems that support a user view that looks like a single relation. 3. Concurrency control by "optimistic," or timestamp-based methods has been introduced. 4. Distributed systems are covered, both for optimization issues and concurrency control. 5. A discussion of data structures for range queries appears. 6. There is an introduction to generalized dependencies and their inference. The second edition was prepared using Don Knuth's TEX typesetting system.

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Albertas Caplinskas, Johann Eder (eds

This book constitutes the refereed proceedings of the 5th East European Conference on Advances in Databases and Information Systems, ADBIS 2001, held in Vilnius, Lithuania, in September 2001. The 25 revised full papers presented together with one invited paper and two abstracts of invited talks were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on query optimization, multimedia and multilingual information systems, spatiotemporal aspects of databases, data mining, transaction processing, conceptual modeling and information systems specification, active databases, query methods, XML, and information systems design.

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Ramez Elmasri, Shamkant B. Navathe

"This book introduces the fundamental concepts necessary for designing, using, and implementing database systems and database applications. Our presentation stresses the fundamentals of database modeling and design, the languages and models provided by the database management systems, and database system implementation techniques"--Page vii.

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Milan Petkovic, Willem Jonker

This book focuses particularly on content-based video retrieval. After addressing basic concepts and techniques in the field, Content-Based Video Retrieval: A Database Perspective concentrates on the semantic gap problem, i.e., the problem of inferring semantics from raw video data, as the main problem of content-based video retrieval. This book identifies and proposes the integrated use of three different techniques to bridge the semantic gap, namely, spatio-temporal formalization methods, hidden Markov models, and dynamic Bayesian networks. As the problem is approached from a database perspective, the emphasis evolves from a database management system into a video database management system. This system allows a user to retrieve the desired video sequence among voluminous amounts of video data in an efficient and semantically meaningful way. This book also presents a modeling framework and a prototype of a content-based video management system that integrates the three methods and provides efficient, flexible, and scalable content-based video retrieval. The proposed approach is validated in the domain of sport videos for which some experimental results are presented.