We investigate a model for image/video quality assessment based on building a set of codevectors representing in a sense some basic properties of images, similar to well-known CORNIA model. We analyze the codebook building method and propose some modifications for it. Also the algorithm is investigated from the point of inference time reduction. Both natural and synthetic images are used for building codebooks and some analysis of synthetic images used for codebooks is provided. It is demonstrated the results on quality assessment may be improves with the use if synthetic images for codebook construction. We also demonstrate regimes of the algorithm in which real time execution on CPU is possible for sufficiently high correlations with mean opinion score (MOS). Various pooling strategies are considered as well as the problem of metric sensitivity to bitrate.
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更新和竣工模型在过程工厂的生命周期中起着重要作用。特别是，必须精确地为系统精确以确保系统的效率和可靠性。数据驱动的模型可以通过考虑不确定性和生命周期相关的更改来模拟子系统的最新行为。本文介绍了使用早期实施的原型作为示例的过程工厂的混合数字双床模型的逐步概念。它将详细介绍使用流程设备的数据驱动模型更新棕色域处理系统的第一原理模型和数字双胞胎的步骤。还将讨论产生竣工混合数码双床的挑战。在处理历史数据的帮助下，教导机器学习模型，可以随着时间的推移不断提高实现的数字双胞划，并且可以进一步优化这项工作。
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