Do we Really Need No-reference Video Quality Metrics?

I. Katsavounidis
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引用次数: 0

Abstract

Objective video quality metrics are an essential part of modern video processing pipelines, guiding video encoding decisions and encoding recipes, helping adaptive bitrate streaming algorithms make smart decisions and providing system-level monitoring capabilities. We will offer a breakdown of an end-to-end such pipeline, highlighting which types of video quality metrics are deployed in each system component and then focus on the single aspect that makes social videos so much different - and one can argue more difficult - to process: their wildly varying and typically inferior source quality. We will then discuss how no-reference video quality metrics have been typically used to measure user-generated video content quality with limited success and make a case for how the video industry can unite and solve this problem at its root.
我们真的需要无参考视频质量指标吗?
客观视频质量指标是现代视频处理管道的重要组成部分,指导视频编码决策和编码配方,帮助自适应比特率流算法做出明智的决策,并提供系统级监控功能。我们将提供端到端这样的管道的细分,突出显示在每个系统组件中部署的视频质量指标类型,然后关注使社交视频如此不同的单一方面-有人可能会认为更困难-处理:它们的广泛变化和通常较差的源质量。然后,我们将讨论如何使用无参考视频质量指标来衡量用户生成的视频内容质量,但收效甚微,并为视频行业如何团结起来,从根本上解决这一问题提供一个案例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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