Machine learning techniques for determining quality of user experience
US11683545B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 21, 2022 |
| Grant date | Jun 20, 2023 |
| Priority date | — |
| Expiry date | Mar 21, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/6582
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
In various embodiments, a quality of experience (QoE) prediction application computes a visual quality score associated with a stream of encoded video content. The QoE prediction application also determines a rebuffering duration associated with the stream of encoded video content. Subsequently, the QoE prediction application computes an overall QoE score associated with the stream of encoded video content based on the visual quality score, the rebuffering duration, and an exponential QoE model. The exponential QoE model is generated using a plurality of subjective QoE scores and a linear regression model. The overall QoE score indicates a quality level of a user experience when viewing reconstructed video content derived from the stream of encoded video content.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.