Method and apparatus for measuring video quality using at least one semi-supervised learning regressor for mean observer score prediction
US8824783B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 30, 2010 |
| Grant date | Sep 2, 2014 |
| Priority date | — |
| Expiry date | Sep 6, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The invention is made in the technical field of video quality measurement. More precisely, the invention is related to mean observer score prediction using a trained semi-supervised learning regressor. That is, a method and apparatus for measuring video quality using a semi-supervised learning system for mean observer score prediction is proposed. Said semi-supervised learning system comprises at least one semi-supervised learning regressor and said method comprises training the learning system and retraining the trained learning system using a selection of test data wherein the test data is used for determining at least one mean observer score prediction using the trained learning system and the selection is indicated by a feedback received through a user interface upon presenting, in the user interface, said at least one mean observer score prediction. Doing so, prediction quality can be improved after re-training at least for the selection.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.