Relationship modeling of encode quality and encode parameters based on source attributes
US11616959B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 20, 2021 |
| Grant date | Mar 28, 2023 |
| Priority date | — |
| Expiry date | Jul 20, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/80
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A source quality of a source video and a source content complexity of the source video are identified. Parameter constraints with respect to parameters of an operation are received. The source video quality, source content complexity, and parameter constraints are applied to a deep neural network (DNN) producing DNN outputs. In an example, the DNN outputs are combined using domain knowledge to provide the filter parameters, as predicted, to a filter chain, such that applying the filter chain to the input source video results in an output video achieving the full reference video quality score. In another example, the DNN outputs are combined using domain knowledge to provide the filter parameters, as predicted, to a filter chain, such that applying the filter chain to the input source video results in an output video achieving the full reference video quality score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.