Compressing images using neural networks
US10432953B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2016 |
| Grant date | Oct 1, 2019 |
| Priority date | — |
| Expiry date | May 8, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/44
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for compressing images using neural networks. One of the methods includes receiving an image; processing the image using an encoder neural network, wherein the encoder neural network is configured to receive the image and to process the image to generate an output defining values of a first number of latent variables that each represent a feature of the image; generating a compressed representation of the image using the output defining the values of the first number of latent variables; and providing the compressed representation of the image for use in generating a reconstruction of the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.