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Introduction to Data Compression (Morgan Kaufmann Series in Multimedia Information and Systems)
 
 
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Introduction to Data Compression (Morgan Kaufmann Series in Multimedia Information and Systems) (Hardcover)

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4.4 out of 5 stars  See all reviews (15 customer reviews)


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  Hardcover, January 1996 -- $38.12 $3.35
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Editorial Reviews

Amazon.com Review

Khalid Sayood's textbook-style Introduction to Data Compression is the definitive guide to all kinds of compression schemes. Early chapters establish the mathematics involved in basic compression techniques, including lossless and lossy compression as well as the fundamentals of information theory that lay the groundwork for common forms of compression. (The book contains all the relevant formulas, although those who don't need such mathematical detail will still be able to understand the book.)

A good portion of the book examines various compression schemes, their strengths and weaknesses, and what content they work best for. Introduction to Data Compression begins with lossless compression schemes, which lose no information during the compression/decompression process. Huffman Coding, a well-established compression scheme, and arithmetic and dictionary coding also receive excellent treatment. In addition, the author takes on lossless compression for images.

For lossy compression, Sayood discusses schemes that use quantization, where a range of values is compressed in some way. He also describes scalar, vector, and differential encoding and fractal compression. A final chapter looks at video encryption (which often combines techniques from earlier chapters). Many of the compression schemes include examples from image and sound files, but the book considers a wide variety of video schemes too. This rich and confidently written text collates a lot of research and can serve as both textbook and source for designers who need a readable and mathematically solid introduction to data compression.



Review

The need to efficiently store, manipulate, and transmit large masses of information is growing more rapidly than the capacity of systems to handle it. Engineers and computer scientists need a solid understanding of compression in order to work with the burgeoning variety of data types and increasingly data-intensive applications. This uniquely comprehensive book explains the fundamental theories and techniques of data compression, with the most complete coverage available of both lossy and lossless methods. Rather than simply describing current approaches, Sayood explains the theoretical underpinnings of the algorithms so that readers learn how to model structures in data and design compression packages of their own. Practitioners, researchers, and students will benefit from the balanced presentation of theoretical material and implementations.

Features:
* Covers both lossy and lossless compression techniques with applications to image, speech, text, audio, and video compression.
* Official compression standards for video, audio, text, and facsimile are discussed in order to illustrate the techniques: includes JPEG, MPEG, G.728, H.261, and Group 3 and 4 fax standards.
* Detailed examples follow each new concept or algorithm.
* Software implementations and sample data sets are available, allowing readers to work through the examples in the book and to experiment with various compression techniques on their own.
* Optional starred sections provide enhanced technical or theoretical discussions.
* Appendices on probability theory, random processes, and matrix concepts are included for reference. -- Book Description


Product Details

  • Hardcover: 475 pages
  • Publisher: Morgan Kaufmann Pub (January 1996)
  • Language: English
  • ISBN-10: 1558603468
  • ISBN-13: 978-1558603462
  • Product Dimensions: 9.8 x 8 x 1 inches
  • Shipping Weight: 2.4 pounds
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (15 customer reviews)
  • Amazon.com Sales Rank: #1,853,371 in Books (See Bestsellers in Books)

    Popular in this category: (What's this?)

    #56 in  Books > Computers & Internet > Programming > Algorithms > Compression

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15 Reviews
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 (8)
4 star:
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Average Customer Review
4.4 out of 5 stars (15 customer reviews)
 
 
 
 
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11 of 11 people found the following review helpful:
5.0 out of 5 stars Excellent textbook, September 25, 2000
By Prof Paul D Amer (Newark, DE USA) - See all my reviews
While some books may cover individual compression techniques in finer detail, Sayood's book provides the best comprehensive overview of the data compression field including video, voice, images, text, music, etc. The reader gains a deep respect for the underlying mathematical basis for compression without being inundated with complex mathematics. I use this book for a senior undergrad / beginning grad student level course at the University of Delaware, and strongly recommend it to others.
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9 of 9 people found the following review helpful:
4.0 out of 5 stars "The" Definitive Guide, February 15, 2004
By Emory T Clark (Marietta, ga United States) - See all my reviews
Amazon claims that this is "the definitive guide". I have to agree with them because this book is the only broad grey pages introduction to data compression that I have been able to find, and it is very well written.

If you are only casually interested in data compression this book is not for you.

If you are interested in adding compression to your application and your data falls into a common category, sound, video, text ect this book is probably not for you. You should look to the open source community or buy an off the shelf product.

But if your data is odd or unique like say telemtry data (I'm sure there are other examples I just can't think of any) and you need to design a compression scheme for your data this book is "the only" book for you.

If you want to begin research into data compression and you are a newbie this book is a must have.

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10 of 11 people found the following review helpful:
5.0 out of 5 stars Can't see any alternatives, March 21, 2001
By Sakesun Roykiattisak (Bangkok, Thailand) - See all my reviews
(REAL NAME)   
Many reviewers tried to say that this book should avoid the word "INTRODUCTION" in it's name because of it's intensive mathematics. But I'm totally disagree. Mathematics and all theoretical aspects explained in this book is just a preliminary review compare to what the researchers all around the world are doing in the data compression area. This book is really an "INTRODUCTION" book.

This book is very comprehensive. You'd absolutely need it if you are going to start a research in this area. If you're just wonder how data can be compressed, you can try other easy books like Peter Wayner's :"Compression Algorithms for Real Programmers". Or if you need compression as a feature in your software product, I'd suggest you not to implement it yourself. Try 3rd party library. Data Compression is the job for specialists.

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Most Recent Customer Reviews

4.0 out of 5 stars Good coverage
This book is quit good for data compression. It covers a lot of topics.
But for developing your own code, you may need some additional books. Read more
Published 4 months ago by Srikumar Sandeep

5.0 out of 5 stars Accessible textbook on compression does not sacrifice rigor
This is one of those books that only gets a new edition when the author has something genuinely new to say, and this third edition of Sayood's excellent introduction to data... Read more
Published on May 18, 2007 by calvinnme

5.0 out of 5 stars A great textbook
This book has all the ingredients for a great textbook. It provides good theoratical background without going into unnecessary details, gives lot of discussion about applications,... Read more
Published on February 10, 2006 by Bilal Masood

4.0 out of 5 stars Very good coverage
The best thing about this book is the coverage and organization of the material. Sayood covers a wide variety of compression topics without getting into the nitty gritty details... Read more
Published on December 27, 2004 by Sujith

4.0 out of 5 stars Very well-written book, software not so good
The book is one of the clearest I have read as a text book. Why cant everybody write like this?? There is very good flow throughout the text.

Only complaint is the software. Read more

Published on April 24, 2003 by Dinkar

5.0 out of 5 stars This is a great book (even better for a text in a class)
This is a great text for graduate course in data compression.
Very comprehensive and up-to-dated. Especially, I like its rich list of references for further study.
Published on April 6, 2002 by Byeungwoo Jeon

3.0 out of 5 stars Isn't it about software?
I bought this book based on the title and the publisher. This is a good book, but it is not an "Introduction". Read more
Published on November 6, 2000 by Forwhatitsworth

3.0 out of 5 stars Could benefit by including example code
This textbook is fairly comprehensive on the various compression algorithms, and the theory behind them. Read more
Published on July 18, 2000 by Damon J. Casale

5.0 out of 5 stars Appropriate examples
Appropriate examples in this book help understanding of this field, even if readers don't have enogh grounding in mathematics. Read more
Published on July 6, 2000 by TinWoodman

4.0 out of 5 stars Not Just An Introduction
This book is very comprehensive, so it isn't just an introduction. Some mathematical maturity is required to understand parts of it. Read more
Published on April 12, 2000 by Glen Cooper

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