The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one,…mehr
The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies.
The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.
Dr. P.K. Gupta, a Post-Doctorate from the University of Pretoria, South Africa (2015-16) in the Department of Electrical, Electronic and Computer Engineering, is currently a Assistant Professor (Sr. Grade) at Jaypee University of Information Technology (JUIT), Himachal Pradesh (HP), India. He has more than 15 years of national and international experience in the Information Technology (IT) industry and academics. He has authored a number of research papers in peer-reviewed international journals and conferences. Further, Dr. Gupta is an Associate Editor of IEEE Access. His research areas include Internet-of-Things, Cloud Computing, Sustainable Computing, and Storage networks. Prof. Vipin Tyagi, Fellow-IETE, is currently working as Professor in Computer Science and Engineering department and Head - Faculty of Mathematical Sciences at Jaypee University of Engineering and Technology, Madhya Pradesh (MP), India. He is Vice President of the Computer Society ofIndia, Region 3, and is associated with the Society's Special Interest Group on Cyber Forensics. He was President of the Engineering Sciences Section of the Indian Science Congress Association for the term 2010-11. He has published a number of papers in various reputed journals and advanced research series, and has attended several national and international conferences. He is an expert in the area of Cyber Security, Cyber Forensics and Image Processing. Prof. Sanjay Kumar Singh is an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology (IIT), Uttar Pradesh (UP), India. He has been certified as a Novell Engineer (CNE) and Novell Administrator (CNA) by Novell Netware, USA. He is a member of LIMSTE, the IEEE, International Association of Engineers and the ISCE. He has over 70 national and international journal publications, book chapters and conference papers to his credit. His research areas include Biometrics,Computer Vision, Image Processing, Video Processing, Pattern Recognition and Artificial Intelligence.
Inhaltsangabe
Chapter 1. Introduction to Image Retrieval.- Chapter 2. Image Features.- Chapter 3. Content-based Multimedia Information Retrieval: State-of-the-art and Challenges.- Chapter 4. Images Matching through Region-based Similarity Technique.- Chapter 5. Visual Features In Image Retrieval Through CBIR.- Chapter 6. Content based Image Retrieval.- Chapter 7. Mathematical Tools for Image Retrieval.- Chapter 8. Text based Image Retrieval.- Chapter 9. Content based Image Retrieval of Texture Images.- Chapter 10. Content based Image Retrieval of Natural Images.- Chapter 11. Color based Image Retrieval.- Chapter 12. Shape based Image Retrieval.- Chapter 13. Geographical image Based Retrieval.- Chapter 14. Query Processing Issues in Region-based Image Retrieval.- Chapter 15. Research Topics for Next Generation Content based Image Retrieval.- Bibliography.- Appendix A: Image Databases.
Chapter 1. Introduction to Image Retrieval.- Chapter 2. Image Features.- Chapter 3. Content-based Multimedia Information Retrieval: State-of-the-art and Challenges.- Chapter 4. Images Matching through Region-based Similarity Technique.- Chapter 5. Visual Features In Image Retrieval Through CBIR.- Chapter 6. Content based Image Retrieval.- Chapter 7. Mathematical Tools for Image Retrieval.- Chapter 8. Text based Image Retrieval.- Chapter 9. Content based Image Retrieval of Texture Images.- Chapter 10. Content based Image Retrieval of Natural Images.- Chapter 11. Color based Image Retrieval.- Chapter 12. Shape based Image Retrieval.- Chapter 13. Geographical image Based Retrieval.- Chapter 14. Query Processing Issues in Region-based Image Retrieval.- Chapter 15. Research Topics for Next Generation Content based Image Retrieval.- Bibliography.- Appendix A: Image Databases.
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