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Proceedings Paper

Perceptual approaches to finding features in data
Author(s): Bernice E. Rogowitz
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Paper Abstract

Electronic imaging applications hinge on the ability to discover features in data. For example, doctors examine diagnostic images for tumors, broken bones and changes in metabolic activity. Financial analysts explore visualizations of market data to find correlations, outliers and interaction effects. Seismologists look for signatures in geological data to tell them where to drill or where an earthquake may begin. These data are very diverse, including images, numbers, graphs, 3-D graphics, and text, and are growing exponentially, largely through the rise in automatic data collection technologies such as sensors and digital imaging. This paper explores important trends in the art and science of finding features in data, such as the tension between bottom-up and top-down processing, the semantics of features, and the integration of human- and algorithm-based approaches. This story is told from the perspective of the IS and T/SPIE Conference on Human Vision and Electronic Imaging (HVEI), which has fostered research at the intersection between human perception and the evolution of new technologies.

Paper Details

Date Published: 14 March 2013
PDF: 12 pages
Proc. SPIE 8651, Human Vision and Electronic Imaging XVIII, 86510B (14 March 2013); doi: 10.1117/12.2013502
Show Author Affiliations
Bernice E. Rogowitz, Visual Perspectives Research and Consulting (United States)

Published in SPIE Proceedings Vol. 8651:
Human Vision and Electronic Imaging XVIII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder, Editor(s)

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