Automatic annotation of video quality impairment training data for generating machine learning models of video quality prediction
US11395036B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 29, 2020 |
| Grant date | Jul 19, 2022 |
| Priority date | — |
| Expiry date | Oct 20, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/440254
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Exemplary embodiments are directed to methods and systems for annotating generating training data for video quality impairment detection. A video stream recorder extracts one or more image frames from a reference video stream as it is played. A video image labeler embeds a unique label into each of the one or more extracted image frames. The video stream recorder records the one or more labeled image frames as a labeled video stream. The video stream player then plays the labeled video stream through an impaired communication channel to generate a degraded video stream. A video image comparator compares one or more corresponding frames of the labeled video stream and the degraded video stream to generate one or more difference frames. An impaired image recorder annotates at least one of the one or more difference frames according to a corrupted region of the at least one difference frame.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.