THE DEVELOPMENT OF A GENERAL FRAMEWORK FOR INTELLIGENT DOCUMENT IMAGE RETRIEVAL
David Doermann, Jaakko J. Sauvola, Hannu Kauniskangas, C. SHIN, Matti Pietikäinen, Azriel Rosenfeld · Series in machine perception and artificial intelligence · 1998
Work has recently begun on a joint project between the Universities of Maryland and Oulu on the development of a system for Intelligent Document Image Retrieval (IDIR). The IDIR system will provide close connections with and utilization of document analysis and image processing techniques, advanced computing and networking, and modern approaches to database management. The system design consists of aggressively modularized components to enhance the development of individual parts which are used in the complete solution, including: Interface specifications, multipurpose feature extraction, an integrated efficient query language, physical retrieval from an object-oriented database, and delivery of retrieved objects. In this paper, we introduce the general framework, feature extraction modules, query capabilities, a graphical query interface, and the application interface. We demonstrate each component of the system and how the query mechanisms can be used to handle both content and struc...