Roku, Inc.

Tapan Oza

Beth Teresa Logan

Wim Michiels

Andrey Marsavin

Vijay Anand Raghavan

Govind Vaidya

Zheng Han

Amit Paliwal

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%.

Machine learning for adaptive bitrate selection

Growing community of inventors

Round Rock, TX, United States of America

Tapan Oza