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Intelligent Image Databases

Towards Advanced Image Retrieval

  • Yihong Gong

Table of contents

  1. Front Matter
    Pages i-xv
  2. Yihong Gong
    Pages 1-7
  3. Yihong Gong
    Pages 37-59
  4. Yihong Gong
    Pages 69-77
  5. Yihong Gong
    Pages 79-104
  6. Yihong Gong
    Pages 105-109
  7. Yihong Gong
    Pages 111-120
  8. Yihong Gong
    Pages 121-128
  9. Back Matter
    Pages 129-134

About this book

Introduction

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.

Keywords

Textur database image databases

Authors and affiliations

  • Yihong Gong
    • 1
  1. 1.Robotics Institute Carnegie Mellon UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-5479-0
  • Copyright Information Kluwer Academic Publishers 1998
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7503-6
  • Online ISBN 978-1-4615-5479-0
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site