EXFO has patented a method to adjust Quality of Experience (QoE) measurements from a testing Content Delivery Network (CDN) entity to accurately reflect QoE from a reference video source. This allows QoE measurements for Over-the-Top (OTT) content providers without violating user policies. GlobalData’s report on EXFO gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on EXFO, AI-assisted repair estimation was a key innovation area identified from patents. EXFO's grant share as of May 2024 was 47%. Grant share is based on the ratio of number of grants to total number of patents.
Adjusting qoe measurements for ott content providers without repeated requests
A recently granted patent (Publication Number: US11956513B2) outlines a method for testing Over-the-Top (OTT) content providers while complying with user policies. The method involves performing Quality of Experience (QoE) measurements from a first content source to estimate QoE from the OTT provider, adjusting these measurements using a predictive model, and providing a graphical representation of the test. The QoE adjustment factor is based on different values for various time intervals and is continuously monitored and adjusted over time to ensure accuracy. The method aims to substitute QoE measurements from the OTT provider with estimates from the first content source, all while adhering to user policies that prohibit repeated requests for measurements.
Furthermore, the patent details the use of a learning process to obtain delta values for time intervals and days, as well as a monitoring process to adjust these values over time. The method involves taking periodic QoE measurements from both the first content source and the OTT provider, learning performance differences between them, and building a predictive model based on these differences. By adjusting the model as network behavior changes, the method ensures the accuracy of QoE estimates over time. The patent also includes provisions for obtaining QoE measurements from multiple regions, creating time series with differences in measurements, and building predictive models based on these differences, showcasing a comprehensive approach to QoE testing for OTT content providers.
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