Video frame synthesis using tensor neural networks
US11553139B2 · kind B2 · utility
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Key dates
| Filing date | Sep 29, 2020 |
| Grant date | Jan 10, 2023 |
| Priority date | — |
| Expiry date | Aug 12, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T11/00
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method for implementing video frame synthesis using a tensor neural network includes receiving input video data including one or more missing frames, converting the input video data into an input tensor, generating, through tensor completion based on the input tensor, output video data including one or more synthesized frames corresponding to the one or more missing frames by using a transform-based tensor neural network (TTNet) including a plurality of phases implementing a tensor iterative shrinkage thresholding algorithm (ISTA), and obtaining a loss function based on the output video data.
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