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In this talk I explain why video quality control is a machine learning problem.
Human perception is a highly non-linear process, influenced by many more factors that we can measure on a video streaming service. In fact, despite the tremendous advances in video coding, we still don’t understand the intricate relationship between a stream and its delivery systems. We have little clues as to how different network conditions actually affect the quality of a video service perceived by the end user. Today, the most predominant consumer of network capacity (video) transits through a ‘video-repellent’ network (the Internet), one that has no notion of data delivery deadlines. So what are we getting from modern video services? Can we manage the quality of user experience, instead of trying to monitor or control the quality of network services? In this talk I give a critical perspective on video quality, its measurement and optimization, ending up with a controversial proposition.