Exploratory image databases : content-based retrieval / Simone Santini

By:

Santini, Simone [Author]

Contributor(s):

Gibson, Jerry D [Author]

Material type: Text

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780126192612

Subject(s):

LOC classification:

TA1637 SAN

Contents:

Front Cover; Exploratory Image Databases: Content-Based Retrieval; Copyright Page; Contents; Preface; Acknowledgments; Part I. e? a??????????? (Math Came Later); Chapter 1. An Eerie Sense of Deja Vu; Chapter 2. The Mysterious Case of the Disappearing Semantics; Chapter 3. How You Can Know You Are Right; Part II: De Re Visiva Principia Geometrica; Chapter 4. Similarity; Chapter 5. Systems with Limited Ontologies; Chapter 6. Systems with General Ontologies; Chapter 7. Writing About Images; Part III: e cerca e truova e quello officio adempie; Chapter 8. Algebra and the Modern Query.

Summary: The explosion of computer use and internet communication has placed new emphasis on the ability to store, retrieve and search for all types of images, both still photo and video images. The success and the future of visual information retrieval depends on the cutting edge research and applications explored in this book. It combines the expertise from both computer vision and database research. Unlike text retrieval and text/numeric databases the challenges of image databases are enormous. How do you use "data mining" to search for an image if you do not have "key words" to.

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Holdings
Item type	Current library	Home library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	Harare Institute of Technology Main Library	Harare Institute of Technology Main Library	General Collection	TA1637 SAN (Browse shelf(Opens below))	1	Available		BK002383

Includes index

Includes bibliography

The explosion of computer use and internet communication has placed new emphasis on the ability to store, retrieve and search for all types of images, both still photo and video images. The success and the future of visual information retrieval depends on the cutting edge research and applications explored in this book. It combines the expertise from both computer vision and database research. Unlike text retrieval and text/numeric databases the challenges of image databases are enormous. How do you use "data mining" to search for an image if you do not have "key words" to.

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