Deep learning based imaged partitioning for video compression
US11128864B2 · kind B2 · utility
2Cited by
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25Claims
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Key dates
| Filing date | Apr 9, 2019 |
| Grant date | Sep 21, 2021 |
| Priority date | — |
| Expiry date | Apr 9, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/53
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A block of video data is split using one or more of several possible partition operations by using the partitioning choices obtained through use of a deep learning-based image partitioning. In at least one embodiment, the block is split in one or more splitting operations using a convolutional neural network. In another embodiment, inputs to the convolutional neural network come from motion vector fields and corresponding residuals. Methods, apparatus, and signal embodiments are provided for encoding.
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