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Determination of metrics describing quality of video data by extracting characteristics from the video data when communicated from a video source to a display device

机译:当从视频源传输到显示设备时,通过从视频数据中提取特征来确定描述视频数据质量的度量标准

摘要

A video evaluation device is coupled to a video source, such as a set-top box, that obtains video data, and to a display device that presents video data received from the set-top box. Content received by the video source is communicated to the testing device, which communicates the video data to the display device for presentation to a user and generates a copy of the video data. The video evaluation device applies one or more computer vision methods and machine learned models to the copy of the video data to generate metrics identifying quality of the video data from characteristics extracted from the copy of the video data and likely user interaction with the video data. The video evaluation device testing device also communicates with an online system that combines metrics determined by the video evaluation device as well as data from other sources to identify video data quality.
机译:视频评估设备耦合至获得视频数据的视频源(例如机顶盒),并耦合至呈现从机顶盒接收的视频数据的显示设备。视频源接收的内容被传送到测试设备,测试设备将视频数据传送到显示设备以呈现给用户并生成视频数据的副本。视频评估设备将一种或多种计算机视觉方法和机器学习模型应用于视频数据的副本,以根据从视频数据的副本提取的特征以及可能的用户与视频数据的交互来生成标识视频数据质量的度量。视频评估设备测试设备还与在线系统通信,该系统结合了视频评估设备确定的指标以及来自其他来源的数据,以识别视频数据质量。

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