Exploratory image databases : content-based retrieval / Simone Santini.

By:

Santini, Simone

Contributor(s):

ScienceDirect eBooks

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780080506159
0080506151
0126192618
9780126192612

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Genre/Form:

Electronic books.

Additional physical formats: Print version:: Exploratory image databases.LOC classification:

TA1637 .S25 2001eb

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Click here to access online

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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eBooks

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Includes bibliographical references (pages 583-599) and index.

Print version record.

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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