Efficient use of quantization parameters in machine-learning models for video coding
US11310501B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 7, 2020 |
| Grant date | Apr 19, 2022 |
| Priority date | — |
| Expiry date | May 7, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/96
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Encoding an image block using a quantization parameter includes presenting, to an encoder that includes a machine-learning model, the image block and a value derived from the quantization parameter, where the value is a result of a non-linear function using the quantization parameter as input, where the non-linear function relates to a second function used to calculate, using the quantization parameter, a Lagrange multiplier that is used in a rate-distortion calculation, and where the machine-learning model is trained to output mode decision parameters for encoding the image block; obtaining the mode decision parameters from the encoder; and encoding, in a compressed bitstream, the image block using the mode decision parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.