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Exploratory image databases : content-based retrieval / Simone Santini

By: Contributor(s): Material type: TextTextSeries: San Diego, Calif. : Academic Press, ©2001Description: 613 pages : illustractionsContent type:
  • 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 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

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.

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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