Automated Video Interpretability Assessment using Convolutional Neural Networks

2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Pub Date : 2018-10-01 DOI:10.1109/AIPR.2018.8707423

A. Kalukin

引用次数: 0

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.

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使用卷积神经网络的自动视频可解释性评估

一个用于自动评估视频质量的神经网络，通过视频国家图像可解释性评级量表(VNIIRS)来衡量，能够在80%的时间内确定准确的VNIIRS评级。

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2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)

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