{
"item_title" : "Artificial Intelligence for Maximizing Content Based Image Retrieval",
"item_author" : [" Zongmin Ma "],
"item_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.",
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Overview
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.
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Details
- ISBN-13: 9781605661742
- ISBN-10: 1605661740
- Publisher: Information Science Reference
- Publish Date: January 2009
- Dimensions: 11.2 x 8.7 x 1.3 inches
- Shipping Weight: 3.35 pounds
- Page Count: 452
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