Techniques for predicting perceptual video quality based on complementary perceptual quality models
US10721477B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 7, 2018 |
| Grant date | Jul 21, 2020 |
| Priority date | — |
| Expiry date | Jul 23, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/91
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
In various embodiments, an ensemble prediction application computes a quality score for re-constructed visual content that is derived from visual content. The ensemble prediction application computes a first quality score for the re-constructed video content based on a first set of values for a first set of features and a first model that associates the first set of values with the first quality score. The ensemble prediction application computes a second quality score for the re-constructed video content based on a second set of values for a second set of features and a second model that associates the second set of values with the second quality score. Subsequently, the ensemble prediction application determines an overall quality score for the re-constructed video content based on the first quality score and the second quality score. The overall quality score indicates a level of visual quality associated with streamed video content.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.