Managing Gigabytes : Compressing and Indexing Documents and Images

Witten Ian, H.:

ISBN 10: 0442018630 / ISBN 13: 9780442018634

Published by Springer, 1994

About this Item

448 Seiten; 9780442018634.3 Gewicht in Gramm: 500.

Seller Inventory # 787924

Bibliographic Details

• Title: Managing Gigabytes : Compressing and Indexing Documents and Images
• Publisher: Springer
• Publication Date: 1994
• Language: English
• ISBN 10: 0442018630
• ISBN 13: 9780442018634
• Binding: hardcover
• Condition: Gut
• Weight: 500 grams
• Seller catalogs:
  • Varia

About this title

Synopsis

With this guide in hand, the reader will gain a practical understanding of how to put together a computer system that will permit the compression of thousands of documents, and the retrieval of particular items that contain any combination of keywords.

Review

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 organised 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 book 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.