Temporal augmentation for training video reasoning system
US12266157B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 4, 2022 |
| Grant date | Apr 1, 2025 |
| Priority date | — |
| Expiry date | Apr 15, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/764
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for augmenting video sequences in a video reasoning system is presented. The method includes randomly subsampling a sequence of video frames captured from one or more video cameras, randomly reversing the subsampled sequence of video frames to define a plurality of sub-sequences of randomly reversed video frames, training, in a training mode, a video reasoning model with temporally augmented input, including the plurality of sub-sequences of randomly reversed video frames, to make predictions over temporally augmented target classes, updating parameters of the video reasoning model by a machine leaning algorithm, and deploying, in an inference mode, the video reasoning model in the video reasoning system to make a final prediction related to a human action in the sequence of video frames.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.