Intelligent Image Databases

1. Front Matter

   Pages i-xv

   PDF

2. Introduction

   • Yihong Gong

   Pages 1-7

3. Survey of Contemporary Content-Based Image Retrieval Systems

   • Yihong Gong

   Pages 9-36

4. Indexing Structures for Image Databases

   • Yihong Gong

   Pages 37-59

5. Building an Advanced Region-Based Image Retrieval System (ARBIRS)

   • Yihong Gong

   Pages 61-68

6. The Texture Detection Subsystem

   • Yihong Gong

   Pages 69-77

7. The Region-Based Subsystem

   • Yihong Gong

   Pages 79-104

8. The Histogram-Based Subsystem

   • Yihong Gong

   Pages 105-109

9. The Database Query Subsystem

   • Yihong Gong

   Pages 111-120

10. Experimental Evaluations and Discussions

    • Yihong Gong

    Pages 121-128

11. Back Matter

    Pages 129-134

    PDF

Intelligent Image Databases: Towards Advanced Image Retrieval addresses the image feature selection issue in developing content-based image retrieval systems. The book first discusses the four important issues in developing a complete content-based image retrieval system, and then demonstrates that image feature selection has significant impact on the remaining issues of system design. Next, it presents an in-depth literature survey on typical image features explored by contemporary content-based image retrieval systems for image matching and retrieval purposes. The goal of the survey is to determine the characteristics and the effectiveness of individual features, so as to establish guidelines for future development of content-based image retrieval systems.
Intelligent Image Databases: Towards Advanced Image Retrieval describes the Advanced Region-Based Image Retrieval System (ARBIRS) developed by the authors for color images of real-world scenes. They have selected image regions for building ARBIRS as the literature survey suggests that prominent image regions, along with their associated features, provide a higher probability for achieving a higher level content-based image retrieval system. A major challenge in building a region-based image retrieval system is that prominent regions are rather difficult to capture in an accurate and error-free condition, particularly those in images of real-world scenes. To meet this challenge, the book proposes an integrated approach to tackle the problem via feature capturing, feature indexing, and database query. Through comprehensive system evaluation, it is demonstrated how these systematically integrated efforts work effectively to accomplish advanced image retrieval.
Intelligent Image Databases: Towards Advanced Image Retrieval serves as an excellent reference and may be used as a text for advanced courses on the topic.

• Textur
• database
• image databases

• Robotics Institute Carnegie Mellon University, USA

  Yihong Gong

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