Machine learning for adaptive bitrate selection
US12137265B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 7, 2023 |
| Grant date | Nov 5, 2024 |
| Priority date | — |
| Expiry date | Sep 7, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/8456
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
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%.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.