ESTIMATING OTT PLAYER QoE METRICS FROM CDN LOGS USING AI AND MACHINE LEARNING
AssigneeQ'ligent Corporation
InventorsSergey Lobanov, Victor Zaguskin, Andrey Kochetkov
Life of this patent
Estimating the term…
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AssigneeQ'ligent Corporation
InventorsSergey Lobanov, Victor Zaguskin, Andrey Kochetkov
Estimating the term…
A method and apparatus for estimating bitrate, buffering events and/or other QoE metrics of video reception, based on CDN logs, are provided. The method and apparatus may rely on an AI model, including a neural network. The neural network may receive a training data set comprised of a plurality of CDN server logs. The CDN server logs may be associated with known QoE metrics collected from a plurality of user devices. Once the neural network is trained, a CDN server log, without associated QoE metrics, may be received as input. With the trained neural network and the CDN server log, buffering events and average bitrate QoE metrics may be estimated for one or more user devices without explicitly receiving QoE metrics from the user device.
A method comprising:
A server comprising:
A method comprising:
Dependencies are inferred from the claim text.