Diamond Eye: a distributed architecture for image data mining

Michael C. Burl; Charless Fowlkes; Joe Roden; Andre Stechert; Saleem Mukhtar

doi:10.1117/12.339982

25 February 1999 Diamond Eye: a distributed architecture for image data mining

Michael C. Burl, Charless Fowlkes, Joe Roden, Andre Stechert, Saleem Mukhtar

Proceedings Volume 3695, Data Mining and Knowledge Discovery: Theory, Tools, and Technology; (1999) https://doi.org/10.1117/12.339982
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

Diamond Eye is a distributed software architecture, which 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 benefits 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.

Citation Download Citation

Michael C. Burl, Charless Fowlkes, Joe Roden, Andre Stechert, and Saleem Mukhtar "Diamond Eye: a distributed architecture for image data mining", Proc. SPIE 3695, Data Mining and Knowledge Discovery: Theory, Tools, and Technology, (25 February 1999); https://doi.org/10.1117/12.339982

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