Artificial Intelligence for Maximizing Content Based Image Retrieval
| PUBLISHER | Information Science Reference (01/31/2009) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
The increasing trend of multimedia data use is likely to accelerate creating an urgent need of providing a clear means of capturing, storing, indexing, retrieving, analyzing, and summarizing data through image data. Artificial Intelligence for Maximizing Content Based Image Retrieval discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field. Providing state-of-the-art research from leading international experts, this book offers a theoretical perspective and practical solutions for academicians, researchers, and industry practitioners.
Show More
Product Format
Product Details
ISBN-13:
9781605661742
ISBN-10:
1605661740
Binding:
Hardback or Cased Book (Unsewn / Adhesive Bound)
Content Language:
English
More Product Details
Page Count:
452
Carton Quantity:
9
Product Dimensions:
8.70 x 1.30 x 11.20 inches
Weight:
3.35 pound(s)
Feature Codes:
Bibliography,
Index,
Table of Contents,
Illustrated
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Artificial Intelligence - General
Computers | Software Development & Engineering - General
Computers | Database Administration & Management
Dewey Decimal:
006.42
Library of Congress Control Number:
2008022541
Descriptions, Reviews, Etc.
publisher marketing
The increasing trend of multimedia data use is likely to accelerate creating an urgent need of providing a clear means of capturing, storing, indexing, retrieving, analyzing, and summarizing data through image data. Artificial Intelligence for Maximizing Content Based Image Retrieval discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field. Providing state-of-the-art research from leading international experts, this book offers a theoretical perspective and practical solutions for academicians, researchers, and industry practitioners.
Show More
Editor:
Ma, Zongmin
Zongmin Ma is professor of computer science and engineering in the College of Information Science and Engineering at Northeastern University, China
Jake Chen is on the faculty of Indiana University-Purdue University Indianapolis, and principal investigator of IUPUI's Discovery Informatics and Computing Group
Show More
List Price $195.00
Your Price
$193.05