Parameter map for machine-learned video compression
US12382090B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 26, 2024 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Jan 26, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/65
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A compression system trains a machine-learned compression model that includes components for an encoder and decoder. In one embodiment, the compression model is trained to receive parameter information on how a target frame should be encoded with respect to one or more encoding parameters, and encodes the target frame according to the respective values of the encoding parameters for the target frame. In particular, the encoder of the compression model includes at least an encoding system configured to encode a target frame and generate compressed code that can be transmitted by, for example, a sender system to a receiver system. The decoder of the compression model includes a decoding system trained in conjunction with the encoding system. The decoding system is configured to receive the compressed code for the target frame and reconstruct the target frame for the receiver system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.