Content-Based Image Retrieval: Ideas, Influences, and Current Trends

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.

Table of Contents

Chapter 1 Content-Based Image Retrieval: An Introduction
Chapter 2 Content-Based Image Retrieval Techniques: A Review
Chapter 3 Region-Based Image Retrieval
Chapter 4 Similarity Measures And Performance Evaluation
Chapter 5 Mpeg-7: Multimedia Content Description Standard
Chapter 6 Shape Feature
Chapter 7 Color Feature
Chapter 8 Texture Feature
Chapter 9 Content-Based Image Retrieval Based On Relative Locations Of Multiple Regions Of Interest Using Selective Regions Matching
Chapter 10 Content-Based Image Retrieval Based On Location-Independent Regions Of Interest
Chapter 11 Content-Based Image Retrieval Of Texture Images Using Adaptive Tetrolet Transforms
Chapter 12 Content-Based Image Retrieval Using A Short Run Length Descriptor
Chapter 13 Content-Based Image Retrieval Using Integrated Color, Texture, And Shape Features
Chapter 14 Multistage Content-Based Image Retrieval
Chapter 15 Research Issues For Next Generation Content-Based Image Retrieval
Appendix A: Natural and Texture image Databases
Appendix B: Some Popular Existing CBIR Systems