No-reference visual media assessment combining deep neural networks and models of human visual system and video content/distortion analysis
US12333741B2 · kind B2 · utility
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Key dates
| Filing date | Jan 25, 2021 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | May 19, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
No-reference (NR) quality assessment (VQA) of a test visual media input encoding media content is provided. The test video visual media input is decomposed into multiple-channel representations. Domain knowledge is obtained by performing content analysis, distortion analysis, human visual system (HVS) modeling, and/or viewing device analysis. The multiple-channel representations are passed into deep neural networks (DNNs) producing DNN outputs. The DNN outputs are combined using domain knowledge to produce an overall quality score of the test visual media input.
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