Shot contras five self-supervised learning of a plurality of machine learning models for video analysis applications
US11748988B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 21, 2021 |
| Grant date | Sep 5, 2023 |
| Priority date | — |
| Expiry date | May 14, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N5/147
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for automatic scene change detection in a video are described. As one example, a computer-implemented method includes extracting features of a query shot and its neighboring shots of a first set of shots without labels with a query model, determining a key shot of the neighboring shots which is most similar to the query shot based at least in part on the features of the query shot and its neighboring shots, extracting features of the key shot with a key model, training the query model into a trained query model based at least in part on a comparison of the features of the query shot and the features of the key shot, extracting features of a second set of shots with labels with the trained query model, and training a temporal model into a trained temporal model based at least in part on the features extracted from the second set of shots and the labels of the second set of shots.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.