Video classification system, video classification method, and neural network training system
US12322176B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 2, 2022 |
| Grant date | Jun 3, 2025 |
| Priority date | — |
| Expiry date | Feb 20, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/49
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A video classification system and method and a neural network training system are provided. The video classification system captures multiple sampled images, encodes first and second images of all sampled images into feature matrices of the sampled images using a convolutional neural network module, and obtains the classification of the videos based on a recurrent neural network module and the feature matrices. The neural network training system captures multiple first sampled images and uses first training samples of all the first sampled images to train the convolutional neural network module and a classification module to obtain multiple parameter values of the convolutional neural network module. The neural network training system trains the recurrent neural network module based on the parameter values and multiple second sampled images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.