Machine learning for adaptive bitrate selection
AssigneeRoku, Inc.
InventorsAmit Paliwal, Andrey Marsavin, Govind Vaidya, Wim Michiels, Beth Teresa Logan, Zheng Han, Tapan Oza, Vijay Anand Raghavan
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AssigneeRoku, Inc.
InventorsAmit Paliwal, Andrey Marsavin, Govind Vaidya, Wim Michiels, Beth Teresa Logan, Zheng Han, Tapan Oza, Vijay Anand Raghavan
Estimating the term…
Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for modifying one or more parameters of a data streaming bitrate selection algorithm based on machine learning. An example embodiment operates by training and operating a first machine learning model to predict a sustainable network bandwidth. A second machine learning model is trained to receive the sustainable network bandwidth and predict a likelihood that this network bandwidth will not empty a data buffer of streaming data. A bitrate is selected based on the likelihood being below a threshold percentage, such as 50%.
A computer-implemented method for adaptive bitrate selection, comprising:
A system for adaptive bitrate selection, comprising:
A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:
Dependencies are inferred from the claim text.