Diamond Eye: a distributed architecture for image data mining

Diamond Eye is a distributed software architecture that enables users (scientists) to analyze large image collections by interacting with one or more custom data mining servers via a Java applet interface. Each server is coupled with an object-oriented database and a computational engine such as a network of high-performance workstations. The database provides persistent storage and supports querying of the \mined" information. The computational engine provides parallel execution of expensive image processing, object recognition, and query-by-content operations. Key bene ts of the Diamond Eye architecture are: (1) the design promotes trial evaluation of advanced data mining and machine learning techniques by potential new users (all that is required is to point a web browser to the appropriate URL), (2) software infrastructure that is common across a range of science mining applications is factored out and reused, and (3) the system facilitates closer collaborations between algorithm developers and domain experts.