Reports a generic object-oriented framework for content-based image retrieval (CBIR) systems. It is designed so that the basic data structures and functionality of a typical CBIR system are provided without sacrificing speed and flexibility. The framework is based on a five-tier architecture that allows modules in different tiers to be developed independently, and thus flexibility is ensured. We show that our framework is able to adapt to a wide range of CBIR applications by applying the framework to the development of two on-going projects: a trademark image retrieval system and a medical (histological) image retrieval system. These applications are briefly discussed.
['Kent K. T. Cheung', 'Horace Ho-Shing Ip', 'Ringo W. K. Lam', 'Rudolf Hanka', 'Lilian H. Y. Tang', 'Grant S. Fuller']
An object-oriented framework for content-based image retrieval based on 5-tier architecture