QRMODA and BRMODA are empirical models relating face recognition accuracy to video encoding parameters, validated across 1668 experiments on multiple datasets for both deep learning and statistical recognizers.
Accuracy and power consumption tradeoffs in video rate adaptation for computer vision applications
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QRMODA and BRMODA: Novel Models for Face Recognition Accuracy in Computer Vision Systems with Adapted Video Streams
QRMODA and BRMODA are empirical models relating face recognition accuracy to video encoding parameters, validated across 1668 experiments on multiple datasets for both deep learning and statistical recognizers.