Video compression technique using a machine learning system
US11388412B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 24, 2020 |
| Grant date | Jul 12, 2022 |
| Priority date | — |
| Expiry date | Nov 24, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/85
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method, system and computer program product for compressing video. A set of video frames is partitioned into two subsets of different types of frames, a first type and a second type. The first type of frames of videos is compressed to generate a first representation by a first stage encoder. The first representation is then decoded to reconstruct the first type of frames using a first stage decoder. The second type of frames of video is compressed to generate a second representation that only contains soft edge information by a second stage encoder. A generative model corresponding to a second stage decoder is then trained using the first representation and the reconstructed first type of frames by using a discriminator employed by a machine learning system. After training the generative model, it generates reconstructed first and second types of frames using the soft edge information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.