Quantifying encoding comparison metric uncertainty via bootstrapping
US11361416B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 13, 2019 |
| Grant date | Jun 14, 2022 |
| Priority date | — |
| Expiry date | Mar 13, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/147
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
In various embodiments, an encoding metric comparison application computes a first set of quality scores associated with a test encoding configuration based on a set of bootstrap quality models. Each bootstrap quality model is trained based on a different subset of a training database. The encoding metric comparison application computes a second set of quality scores associated with a reference encoding configuration based on the set of bootstrap quality models. Subsequently, the encoding metric comparison application generates a distribution of bootstrap values for an encoding comparison metric based on the first set of quality scores and the second set of quality scores. The distribution quantifies an accuracy of a baseline value for the encoding comparison metric generated by a baseline quality model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.