Machine learning techniques for component-based image preprocessing
US11563986B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2021 |
| Grant date | Jan 24, 2023 |
| Priority date | — |
| Expiry date | Dec 14, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/251
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
In various embodiments, a training application trains a machine learning model to preprocess images. In operation, the training application computes a chroma sampling factor based on a downscaling factor and a chroma subsampling ratio. The training application executes a machine learning model that is associated with the chroma sampling factor on data that corresponds to both an image and a first chroma component to generate preprocessed data corresponding to the first chroma component. Based on the preprocessed data, the training application updates at least one parameter of the machine learning model to generate a trained machine learning model that is associated with the first chroma component.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.