Block-wise content-adaptive online training in neural image compression
US11889112B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 26, 2022 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Apr 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the disclosure provide a method, an apparatus, and a non-transitory computer-readable storage medium for video decoding. The apparatus can include processing circuitry. The processing circuitry is configured to decode first neural network update information in a coded bitstream for a first neural network in the video decoder. The first neural network is configured with first pretrained parameters. The first neural network update information corresponds to a first block in an image to be reconstructed and indicates a first replacement parameter corresponding to a first pretrained parameter in the first pretrained parameters. The processing circuitry is configured to update the first neural network in the video decoder based on the first replacement parameter. The processing circuitry can decode the first block based on the updated first neural network for the first block.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.