Systems and methods for determining video feature descriptors based on convolutional neural networks
US10198637B2 · kind B2 · utility
7Cited by
9References
20Claims
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Key dates
| Filing date | Dec 20, 2017 |
| Grant date | Feb 5, 2019 |
| Priority date | — |
| Expiry date | Dec 20, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and non-transitory computer-readable media can acquire video content for which video feature descriptors are to be determined. The video content can be processed based at least in part on a convolutional neural network including a set of two-dimensional convolutional layers and a set of three-dimensional convolutional layers. One or more outputs can be generated from the convolutional neural network. A plurality of video feature descriptors for the video content can be determined based at least in part on the one or more outputs from the convolutional neural network.
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