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Proceedings Paper

Cognitive modeling to predict video interpretability
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Paper Abstract

Processing framework for cognitive modeling to predict video interpretability is discussed. Architecture consists of spatiotemporal video preprocessing, metric computation, metric normalization, pooling of like metric groups with masking adjustments, multinomial logistic pooling of Minkowski pooled groups of similar quality metrics, and estimation of confidence interval of final result.

Paper Details

Date Published: 17 May 2011
PDF: 8 pages
Proc. SPIE 8053, Geospatial InfoFusion Systems and Solutions for Defense and Security Applications, 80530M (17 May 2011); doi: 10.1117/12.887100
Show Author Affiliations
Darrell L. Young, Motion Imagery Standards Board (United States)
Tariq Bakir, Motion Imagery Standards Board (United States)


Published in SPIE Proceedings Vol. 8053:
Geospatial InfoFusion Systems and Solutions for Defense and Security Applications
Matthew F. Pellechia; Richard Sorensen; Shiloh L. Dockstader; Rudy G. Benz; Bernard V. Brower, Editor(s)

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