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INFORMATION-ADAPTIVE MIXED DETERMINISTIC/MACHINE-LEARNING-BASED BIT STREAM VIDEO-QUALITY MODEL

机译:信息 - 自适应混合确定性/机器学习的位流视频质量模型

摘要

Disclosed herein is a method for predicting the quality Q of a video bit stream. The method comprises obtaining a video segment and a corresponding bit stream, parsing the bit stream by a bit stream parser, and obtaining bit stream parameters. The quality Q is predicted by using a deterministic model and a machine learning model with the obtained bit stream parameters, wherein the predicted video quality is a weighted sum of the prediction of both models. A residuum of the deterministic model is predicted by the machine learning model.
机译:本文公开了一种用于预测视频比特流的质量Q的方法。该方法包括获得视频段和对应的比特流,通过比特流解析器解析比特流,并获得比特流参数。通过使用具有所获得的比特流参数的确定性模型和机器学习模型来预测质量Q,其中预测的视频质量是两种模型的预测的加权之和。机器学习模型预测了确定性模型的残余物。

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