Ultra-high compression of images based on deep learning
US11221990B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 3, 2015 |
| Grant date | Jan 11, 2022 |
| Priority date | — |
| Expiry date | May 19, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T9/002
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for machine learning model parameters for image compression, including partitioning image files into a first set of regions, determining a first set of machine learned model parameters based on the regions, the first set of machine learned model parameters representing a first level of patterns in the image files, constructing a representation of each of the regions based on the first set of machine learned model parameters, constructing representations of the image files by combining the representations of the regions in the first set of regions, partitioning the representations of the image files into a second set of regions, and determining a second set of machine learned model parameters based on the second set of regions, the second set of machine learned model parameters representing a second level of patterns in the image files.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.