Video object segmentation by reference-guided mask propagation
US10671855B2 · kind B2 · utility
17Cited by
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20Claims
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Key dates
| Filing date | Apr 10, 2018 |
| Grant date | Jun 2, 2020 |
| Priority date | — |
| Expiry date | Nov 9, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/07
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments describe video object segmentation using a neural network and the training of the neural network. The neural network both detects a target object in the current frame based on a reference frame and a reference mask that define the target object and propagates the segmentation mask of the target object for a previous frame to the current frame to generate a segmentation mask for the current frame. In some embodiments, the neural network is pre-trained using synthetically generated static training images and is then fine-tuned using training videos.
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