16 May 2011 Cognitive modeling to predict video interpretability
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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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Darrell L. Young, 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); doi: 10.1117/12.887100; https://doi.org/10.1117/12.887100


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