Cognitive modeling to predict video interpretability

Darrell L. Young; Tariq Bakir

doi:10.1117/12.887100

16 May 2011 Cognitive modeling to predict video interpretability

Darrell L. Young, Tariq Bakir

Author Affiliations +

Proceedings Volume 8053, Geospatial InfoFusion Systems and Solutions for Defense and Security Applications; 80530M (2011) https://doi.org/10.1117/12.887100
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

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Darrell L. Young and Tariq Bakir "Cognitive modeling to predict video interpretability", Proc. SPIE 8053, Geospatial InfoFusion Systems and Solutions for Defense and Security Applications, 80530M (16 May 2011); https://doi.org/10.1117/12.887100

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