Determining quality of an image or video using a distortion classifier
US9595090B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 24, 2014 |
| Grant date | Mar 14, 2017 |
| Priority date | — |
| Expiry date | May 8, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques and structures are disclosed in which one or more distortion categories are identified for an image or video, and a quality of the image or video is determined based on the one or more distortion categories. The image or video may be of a natural scene, and may be of unknown provenance. Identifying a distortion category and/or determining a quality may be performed without any corresponding reference (e.g., undistorted) image or video. Identifying a distortion category may be performed using a distortion classifier. Quality may be determined with respect to a plurality of human opinion scores that correspond to a particular distortion category to which an image or video of unknown provenance is identified as belonging. Various statistical methods may be used in performing said identifying and said determining, including use of generalized Gaussian distribution density models and natural scene statistics.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.