Artificial Intelligence for Maximizing Content Based Image Retrieval (Premier Reference Source) - Hardcover

Hardcover

ISBN 10: 1605661740 ISBN 13: 9781605661742

Publisher: Information Science Reference, 2009

Synopsis

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.

About this title

About the Author

Zongmin Ma (Z. M. Ma) received the Ph. D. degree from the City University of Hong Kong in 2001 and is currently a Full Professor in College of Information Science and Engineering at Northeastern University, China. His current research interests include intelligent database systems, knowledge representation and reasoning, the Semantic Web and XML, knowledge-bases systems, and semantic image retrieval. He has published over 80 papers in international journals, conferences, and books in these areas since 1999. He also authored and edited several scholarly books published by Springer-Verlag and IGI Global, respectively. He has served as member of the international program committees for several international conferences and also spent some time as a reviewer of several journals. Dr. Ma is a senior member of the IEEE.

Edition details

• Publisher: Information Science Reference
• Publication date: 2009
• Language: English
• ISBN 10: 1605661740
• ISBN 13: 9781605661742
• Binding: Hardcover
• Number of pages: 450
• Editor: Ma Zongmin