Feature Dimension Reduction for Content-Based Image Identification
IGI Global (Verlag)
978-1-5225-5775-3 (ISBN)
Image data has portrayed immense potential as a foundation of information for numerous applications. Recent trends in multimedia computing have witnessed a rapid growth in digital image collections, resulting in a need for increased image data management.
Feature Dimension Reduction for Content-Based Image Identification is a pivotal reference source that explores the contemporary trends and techniques of content-based image recognition. Including research covering topics such as feature extraction, fusion techniques, and image segmentation, this book explores different theories to facilitate timely identification of image data and managing, archiving, maintaining, and extracting information. This book is ideally designed for engineers, IT specialists, researchers, academicians, and graduate-level students seeking interdisciplinary research on image processing and analysis.
Rik Das is an Assistant Professor, Department of Information Technology, Xavier Institute of Social Service, Ranchi, Jharkhand, India. He is a PhD (Tech.) in Information Technology from University of Calcutta, Kolkata, India and has completed his M.Tech. in Information Technology from the same University. Prior to this, he has done his B.E. in Information Technology from University of Burdwan, India. He takes keen interest in researching with Image Processing, Object Detection, Computer Vision, Deep Learning and Machine Learning. He has carried out collaborative research work with Institutions in India and abroad. Rik has multiple International research publications till date with reputed Publishers, namely, IEEE, Springer, Emerald, Inderscience etc. He is a reviewer for leading Journals, such as, Journal of Visual Communication and Image Representation, Elsevier, Transactions on Mutimedia, IEEE, LNCS Transactions on Computational Science, Springer etc. He is the receiver of """"Certificate of Outstanding Contribution in Reviewing"""" conferred by Elsevier in cooperation with King Saud University. He has also chaired sessions in International Conferences on Image Processing. Rik is a part of academic fraternity for more than 14 years and has served significant Academic Institutions in India, including, Narsee Monjee Institute of Management Studies (NMIMS) (Deemed-to-be-University), Mumbai, India, Birla Institute of Technology (BIT), Mesra, Ranchi, India and so on to name a few. He is a Resource person for UGC-HRDC Refresher Courses in Information and Communication Technology. Rik is always open to discuss new research ideas for collaborative research work and for techno-managerial. His research interests include soft computing, pattern recognition, multimedia data processing, hybrid intelligence and quantum computing. Dr. Bhattacharyya is a fellow of Institute of Electronics and Telecommunication Engineers (IETE), India. He is also a senior member of Institute of Electrical and Electronics Engineers (IEEE), USA, International Institute of Engineering and Technology (IETI), Hong Kong and Association for Computing Machinery (ACM), USA. He is a member of Institution of Engineering and Technology (IET), UK, International Rough Set Society, International Association for Engineers (IAEN), Hong Kong, Computer Science Teachers Association (CSTA), USA, International Association of Academicians, Scholars, Scientists and Engineers (IAASSE), USA, Institute of Doctors Engineers and Scientists (IDES), India and The International Society of Service Innovation Professionals (ISSIP). He is a life member of Computer Society of India, Optical Society of India, Indian Society for Technical Education and Center for Education Growth and Research, India.
| Erscheinungsdatum | 18.08.2018 |
|---|---|
| Verlagsort | Hershey |
| Sprache | englisch |
| Maße | 216 x 279 mm |
| Gewicht | 1072 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| ISBN-10 | 1-5225-5775-X / 152255775X |
| ISBN-13 | 978-1-5225-5775-3 / 9781522557753 |
| Zustand | Neuware |
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