User interface representations for image understanding

Michael A. J. Puscar; Anthony J. Hoogs

doi:10.1117/12.267822

26 February 1997 User interface representations for image understanding

Michael A. J. Puscar, Anthony J. Hoogs

Proceedings Volume 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision; (1997) https://doi.org/10.1117/12.267822
Event: 25th Annual AIPR Workshop on Emerging Applications of Computer Vision, 1996, Washington, DC, United States

Abstract

To enable the transition of exploitation image understanding (IU) technology into near-operational use in the intelligence community, user interfaces must be designed to allow simple, intuitive access to IU functionality and results. The complexity of IU systems, both in required inputs and processing, must be hidden from the user as much as possible to avoid heavy training costs. This paper describes some of the important user interface issues encountered when image understanding algorithms are introduced to an imagery analyst, and discusses some of the solutions that have evolved during the development of the RADIUS testbed. Significant issues we have encountered are algorithm and parameter selection, algorithm execution, visual representation of change, and display of historical results.

Citation Download Citation

Michael A. J. Puscar and Anthony J. Hoogs "User interface representations for image understanding", Proc. SPIE 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision, (26 February 1997); https://doi.org/10.1117/12.267822

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