- Series: The Morgan Kaufmann Series in Multimedia Information and Systems
- Hardcover: 550 pages
- Publisher: Morgan Kaufmann; 1 edition (May 17, 1999)
- Language: English
- ISBN-10: 1558605703
- ISBN-13: 978-1558605701
- Product Dimensions: 8 x 1.2 x 9.5 inches
- Shipping Weight: 2.3 pounds (View shipping rates and policies)
- Average Customer Review: 11 customer reviews
- Amazon Best Sellers Rank: #475,885 in Books (See Top 100 in Books)
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Managing Gigabytes: Compressing and Indexing Documents and Images, Second Edition (The Morgan Kaufmann Series in Multimedia Information and Systems) 1st Edition
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Of all the tasks programmers are asked to perform, storing, compressing, and retrieving information are some of the most challenging--and critical to many applications. Managing Gigabytes: Compressing and Indexing Documents and Images is a treasure trove of theory, practical illustration, and general discussion in this fascinating technical subject.
Ian Witten, Alistair Moffat, and Timothy Bell have updated their original work with this even more impressive second edition. This version adds recent techniques such as block-sorting, new indexing techniques, new lossless compression strategies, and many other elements to the mix. In short, this work is a comprehensive summary of text and image compression, indexing, and querying techniques. The history of relevant algorithm development is woven well with a practical discussion of challenges, pitfalls, and specific solutions.
This title is a textbook-style exposition on the topic, with its information organized very clearly into topics such as compression, indexing, and so forth. In addition to diagrams and example text transformations, the authors use "pseudo-code" to present algorithms in a language-independent manner wherever possible. They also supplement the reading with mg--their own implementation of the techniques. The mg C language source code is freely available on the Web.
Alone, this book is an impressive collection of information. Nevertheless, the authors list numerous titles for further reading in selected topics. Whether you're in the midst of application development and need solutions fast or are merely curious about how top-notch information management is done, this hardcover is an excellent investment. --Stephen W. Plain
Topics covered: Text compression models, including Huffman, LZW, and their variants; trends in information management; index creation and compression; image compression; performance issues; and overall system implementation.
"This book is the Bible for anyone who needs to manage large data collections. It's required reading for our search gurus at Infoseek. The authors have done an outstanding job of incorporating and describing the most significant new research in information retrieval over the past five years into this second edition."-Steve Kirsch, Cofounder, Infoseek Corporation
"The new edition of Witten, Moffat, and Bell not only has newer and better text search algorithms but much material on image analysis and joint image/text processing. If you care about search engines, you need this book: it is the only one with full details of how they work. The book is both detailed and enjoyable; the authors have combined elegant writing with top-grade programming."-Michael Lesk, National Science Foundation
"The coverage of compression, file organizations, and indexing techniques for full text and document management systems is unsurpassed. Students, researchers, and practitioners will all benefit from reading this book."-Bruce Croft, Director, Center for Intelligent Information Retrieval at the University of Massachusetts
Top customer reviews
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All in all, this is the best computer science book I've purchased in years. I wish all CS books were written like this one: it doesn't skimp on the theory or on the implementation details.
The second edition is highly readable and contains a thorough updating of the algorithms and data structures in the field.
I like the text because of its readability, conciseness, thoroughness, and attention to detail. The comparisons of algorithms on realistic sized collections is unparalleled in other texts.
I have used this text for the past 5 years in a graduate level information storage and retrieval class but I believe it has a much wider audience due to the quality of writing.
Additionally, the free availability of the mg system which implements many of the best algorithms of the text allows the reader/student to take advantage of the technology without having to start from scratch.
There are several examples that break down complex processes into simple and easy to understand logic and the pages provides a smooth flow of the structured topics. Well organised, presented and fully informative.
Truly an ideal book. This serves as a superior text for students studying document and imaging systems, processing and information and multimedia retrieval subjects. Beautiful!!!
Just on a personal note, it would be great to see some emphasis in the future editions in regards to web mining applications.
The authors are smart guys who could do sth, google mg for their website and mg4j for the ported java implementation.