K-nearest neighbor model-based content adaptive encoding parameters determination
US10721475B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 31, 2018 |
| Grant date | Jul 21, 2020 |
| Priority date | — |
| Expiry date | Sep 15, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
In one example, a segment of media content, a predefined maximum bitrate, and a predefined maximum quality measure may be received. K-NN having similar bitrate and quality data to the segment of media content may be determined using a trained k-nearest neighbor model. The K-NN are determined from a training set of media content segments. Further, at least one content adaptive encoding parameter for the segment of media content may be determined within the predefined maximum bitrate and the predefined maximum quality measure using the determined k-nearest neighbor. The at least one content adaptive encoding parameter is inputted to an encoder to encode the segment of media content.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.