Cognitive modeling to predict video interpretability
2011
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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