Content-aware, machine-learning-based rate control
US12335486B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 12, 2023 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Apr 23, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/172
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A system includes a processing device to receive video content, metadata related to the video content, and a target bit rate for encoding the video content. The processing device further detects a content type of the video content based on the metadata and encodes hardware to perform frame encoding on the video content. The system further includes a controller coupled between the processing device and the encoding hardware. The controller is programmed with machine instructions to generate first QP values on a per-frame basis using a frame machine learning model with a first plurality of weights. The first plurality of weights depends at least in part on the content type and the target bit rate. The controller further provides the first QP values to the encoding hardware for rate control of the frame encoding.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.