Machine learning based dynamic composing in enhanced standard dynamic range video (SDR+)
US12086969B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 16, 2019 |
| Grant date | Sep 10, 2024 |
| Priority date | — |
| Expiry date | Aug 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20208
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Training image pairs comprising training SDR image and corresponding training HDR images are received. Each training image pair in the training image pairs comprises a training SDR image and a corresponding training HDR image. The training SDR image and the corresponding training HDR image in the training image pair depict same visual content but with different luminance dynamic ranges. Training image feature vectors are extracted from training SDR images in the training image pairs. The training image feature vectors are used to train backward reshaping metadata prediction models for predicting operational parameter values of backward reshaping mappings used to backward reshape SDR images into mapped HDR images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.