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Image Databases & Multi-Media Search [Hardcover]

Arnold Smeulders (Editor), Ramesh Jain (Editor)

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Book Description

Series: Series on Software Engineering and Knowledge | Publication Date: January 15, 1997

The computer-age future is approaching fast, with rapid developments in image databases and multimedia search engines. This work offers a description of this field. It includes computational methods of searching for pictures; the powerful pictorial clues in the recognition of objects; storage and indexing of objects in a database; and ways to access the requested pictorial information.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } The computer-age future is approaching fast, with rapid developments in image databases and multimedia search engines. This work offers a description of this field. It includes computational methods of searching for pictures; the powerful pictorial clues in the recognition of objects; storage and indexing of objects in a database; and ways to access the requested pictorial information.

Product Details

Hardcover: 317 pages
Publisher: World Scientific Pub Co Inc; 1st edition (January 15, 1997)
Language: English
ISBN-10: 9810233272
ISBN-13: 978-9810233273
Product Dimensions: 8.8 x 6.2 x 0.9 inches
Shipping Weight: 1.3 pounds (View shipping rates and policies)
Amazon Best Sellers Rank: #7,304,933 in Books (See Top 100 in Books)

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Inside This Book (learn more)

First Sentence:
If we are to achieve a world in which hypermedia has become the: basis of the documents we exchange, then that world will require that we first achieve the goal of authoring software that makes hypermedia documents as easy to create as text documents are through current word processing environments. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
string indexing algorithm, given planar picture, temporal information flow, satisfies the spatial constraints, most satisfactory face, various color features, average stroke width, region formulae, discretization noise, search accelerators, polygon matching, hypertext construction, query image, alphanumeric labels, iconic indexing, image retrieval system, photographic version, motion classification, favorite face, source anchor, retrieval accuracy, consumer photography, shape prototypes, modal matching, candidate shape

Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, New York, Del Bimbo, San Jose, Binary String Descriptor, Multi-resolution Area Matching, World Wide Web, Academic Press, Management of Data, Media Lab, Very Large Data Bases, Visual Database Systems, Discrete Fourier Transform, Int'l Conference, John Wiley, Journal of Intelligent Information Systems, Kluwer Academic Publishers, Lecture Notes, Leiden University, Modern Information Retrieval, San Diego

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Citations (learn more)

This book cites 27 books:

Introduction to Modern Information Retrieval (Mcgraw Hill Computer Science Series) by Gerard Salton on page 164, page 240, and page 262
Computer Vision by Dana H. Ballard on page 23, and page 300
Video and Image Processing in Multimedia Systems (The Springer International Series in Engineering and Computer Science) by Borko Furht on page 10, and page 107
Intelligent Image Database Systems (Series on Software Engineering and Knowledge Engineering) by S. K. Chang in Front Matter
Software Engineering and Knowledge Engineering: Trends for the Next Decade (Series on Software Engineering and Knowledge) by W. David Hurley in Front Matter

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Books on Related Topics (learn more)

Handbook of Multimedia Computing by Borko Furht

Discusses:

Principles of Visual Information Retrieval by Michael S. Lew

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Visual Information Retrieval by Alberto Del Bimbo

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Image Databases by Vittorio Castelli

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