Using AI to Assure the Viewer Experience for Streaming Video
Today, in the US, the average adult spends 6 hours per day watching video, with all our video-capable devices and all types of video and streaming services. The younger generation is watching 43% of the time on non-TV media like tablets, smartphones and PCs, and we now have a vast selection of streaming services with the expectation that video quality should be the same as broadcast.
Close to 80% of all traffic on the mobile network is video. From the cellular side, US smartphone penetration is approaching saturation, causing mobile carriers to fight over each other’s subscribers. About 95% of Americans own a cell phone, and 77% own a smartphone, making new subscribers a rare commodity. Hence, keeping and upselling to existing customers becomes more critical than ever.
This whitepaper discusses how video service providers, network operators and manufacturers of smart TVs, streaming players, residential gateways and mobile devices can assess video Quality of Experience as seen by their customers. It explores topics such as:
Why the entire streaming video ecosystem needs a controllable, reliable and repeatable method for evaluating and assuring video quality.
The four primary methods for measuring video quality.
Why the combination of artificial intelligence (AI) and a unique non-reference algorithm is the best way to understand QoE for live content, such as sports, news, and live events.