- Hardcover: 356 pages
- Publisher: Springer; 1st Edition. edition (26 Jan 2001)
- Language English
- ISBN-10: 1852333812
- ISBN-13: 978-1852333812
- Product Dimensions: 23.4 x 15.6 x 2.4 cm
- Average Customer Review: 4.0 out of 5 stars See all reviews (1 customer review)
- Amazon Bestsellers Rank: 4,041,744 in Books (See Top 100 in Books)
- See Complete Table of Contents
Principles of Visual Information Retrieval
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Product Description
Product Description
This text introduces the basic concepts and techniques in VIR. In doing so, it develops a foundation for further research and study. Divided into two parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VIR, such as colour, texture and shape-based search. There is coverage of search techniques for time-based image sequences or videos, and an overview of how to combine all the basic features described and integrate them into the search process. The second part looks at advanced topics such as multimedia query. This book is essential reading for researchers in VIR, and final-year undergraduate and postgraduate students on courses such as Multimedia Information Retrieval, Multimedia Databases, and others.
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
Most Helpful Customer Reviews
Format:Hardcover
This book covers most of the established paradigm and methods in the area of VIR. Although it does not provide a very deep description for each of the methods, it does give quite a thorough overview (for some of them). If you are starting your interest in VIR this is a good book to start with. If you consider youself a master in the field you will find the book rather out of depth.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
4 reviews
2 of 2 people found the following review helpful
Great for researchers
2 Dec 2005
Format:Hardcover
As a researcher in multimedia search (at Google), I absolutely love this book! It abounds with tremendously useful information to computer vision and multimedia search developers such as the brilliant chapters on color, texture, shape, and similarity measures. These go far beyond any other books on the market now even though they were written in 2000. I read on the Amazon site some criticisms of this book but I suspect they were written by undergraduates - i.e. No PhD would criticize a work published in early 2001 for only having references from 2000.
My only criticism of this book is that the reader should have expertise in fundamentals of image processing or computer vision beforehand, know what a color space, texture, etc. Read the CV book by Ponce and Forsyth first.
My only criticism of this book is that the reader should have expertise in fundamentals of image processing or computer vision beforehand, know what a color space, texture, etc. Read the CV book by Ponce and Forsyth first.
Excellent Review of State of the Art
19 July 2002
Format:Hardcover
There are only two books which cover the new area
of visual information retrieval. One is by Alberto del Bimbo
and gives a good introduction to the subject. It is
written well, but leaves the reader wondering what the
state of the art is.
of visual information retrieval. One is by Alberto del Bimbo
and gives a good introduction to the subject. It is
written well, but leaves the reader wondering what the
state of the art is.
This book by Prof. Lew covers the state of the art in the
fundamentals of color, texture, shape, and video. Prof. Lew's
book has each fundamental area written by the leading
expert so the material is fresh and truly state of the art.
These experts include the leading researchers from MIT,
Boston University, Univ. of Illinois, etc.
This is the only choice for an advanced book on visual
information retrieval - one for graduate students or
leading edge developers.
- John
0 of 1 people found the following review helpful
Dry and Fragmented
1 May 2005
Format:Hardcover
This book was quite a disappointment. The equations the author throws at the reader are extremely abstract and do not get elaborated. I don't think you will be able to implement any of these algorithms in a language like C++ because many details are missing. Most explanations are not self-contained; they usually go along the lines of "[author] uses this function to do blah blah..."
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