Techniques for modeling temporal distortions when predicting perceptual video quality
US11729396B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 4, 2021 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Mar 17, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/235
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
In various embodiments, a prediction application computes a quality score for re-constructed visual content that is derived from visual content. The prediction application generates a frame difference matrix based on two frames included in the re-constructed video content. The prediction application then generates a first entropy matrix based on the frame difference matrix and a first scale. Subsequently, the prediction application computes a first value for a first temporal feature based on the first entropy matrix and a second entropy matrix associated with both the visual content and the first scale. The prediction application computes a quality score for the re-constructed video content based on the first value, a second value for a second temporal feature associated with a second scale, and a machine learning model that is trained using subjective quality scores. The quality score indicates a level of visual quality associated with streamed video content.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.