System, method, and computer program for content adaptive online training for multiple blocks in neural image compression
US12347149B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 22, 2022 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Nov 2, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/176
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Content-adaptive online training for end-to-end (E2E) neural image compression (NIC) using a neural network performed by at least one processor, is provided, including receiving an input image, to an E2E NIC framework, including one or more blocks, preprocessing a first neural network of the E2E NIC framework, based on the one or more blocks, computing updated parameters using the preprocessed first neural network, encoding the one or more blocks and the updated parameters, updating the first neural network based on the encoded updated parameters, and generating a compressed representation of the encoded one or more blocks using the updated first neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.