Automated Video Interpretability Assessment using Convolutional Neural Networks

Abstract

A neural network used to automate assessment of video quality, as measured by the Video National Imagery Interpretability Rating Scale (VNIIRS), was able to ascertain the exact VNIIRS rating over 80% of the time.