Indexing structural and content-based retrieval algorithms for CityU corel image database

Abstract

The explosive growth of the World Wide Web has made a vast amount of information available to us, especially the multimedia data, such as images and graphics. The benefit that users can derive from such a resource is limited by their ability to find specific information contained in the data, especially multimedia data. New generation search engine with the technology of CBIR (Content-Based Image Retrieval) is responded to the needs. However real-time image retrieval from a multimedia database often requires extremely high computational power and even the supercomputer requires significant amount of time for searching a medium sized Image Database. One of the possible solutions is to use low cost parallel computer. The major objective of this project, therefore, is to develop a web-based Image Database Indexing and Retrieval System (IDIRS) using CBIR technology. Advanced CBIR algorithms as well as the traditional text-based indexing technique will be used to enhance the searching accuracy. In addition, the system will be implemented on a Beowulf Class computer with specially designed parallel algorithms for reducing the searching time.