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Advances in modern computer and telecommunication technologies have led to huge archives of multimedia data in diverse application areas such as medicine, remote sensing, entertainment, education, and on-line information services. This is similar to the rapid increase in the amount of alphanumeric data during the early days of computing, which led to the development of database management systems (DBMS). | Image Databases Search and Retrieval of Digital Imagery Edited by Vittorio Castelli Lawrence D. Bergman Copyright 2002 John Wiley Sons Inc. ISBNs 0-471-32116-8 Hardback 0-471-22463-4 Electronic 10 Introduction to Content-Based Image Retrieval Overview of Key Techniques YING LI and C.-C. JAY KUO University of Southern California Los Angeles California X. WAN U.S. Research Lab San Jose California 10.1 INTRODUCTION Advances in modern computer and telecommunication technologies have led to huge archives of multimedia data in diverse application areas such as medicine remote sensing entertainment education and on-line information services. This is similar to the rapid increase in the amount of alphanumeric data during the early days of computing which led to the development of database management systems DBMS . Traditional DBMSs were designed to organize alphanumeric data into interrelated collections so that information retrieval and storage could be done conveniently and efficiently. However this technology is not well suited to the management of multimedia information. The diversity of data types and formats the large size of media objects and the difficulties in automatically extracting semantic meanings from data are entirely foreign to traditional database management techniques. To use this widely available multimedia information effectively efficient methods for storage browsing indexing and retrieval 1 2 must be developed. Different multimedia data types may require specific indexing and retrieval tools and methodologies. In this chapter we present an overview of indexing and retrieval methods for image data. Since the 1970s image retrieval has been a very active research area within two major research communities database management and computer vision. These research communities study image retrieval from two different angles. The first is primarily text-based whereas the second relies on visual properties of the data 3 . 261 262 INTRODUCTION TO CONTENT-BASED
