Systems and methods for determining video feature descriptors based on convolutional neural networks
US9858484B2 · kind B2 · utility
5Cited by
7References
19Claims
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Key dates
| Filing date | Dec 30, 2014 |
| Grant date | Jan 2, 2018 |
| Priority date | — |
| Expiry date | Apr 1, 2035 |
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.