Rate/distortion/RDcost modeling with machine learning
US10848765B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 4, 2019 |
| Grant date | Nov 24, 2020 |
| Priority date | — |
| Expiry date | May 8, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/96
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method for encoding a block of a video stream includes generating, using pixel values of the block, block features for the block; for each candidate encoding mode of candidate encoding modes, generating, using the block features and the each candidate encoding mode as inputs to a machine-learning module, a respective encoding cost; selecting, based on the respective encoding costs, a predetermined number of the candidate encoding modes; selecting, based on the respective encoding costs of the at least some encoding modes, a best mode for encoding the block; and encoding, in a compressed bitstream, the block using the best mode.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.