Clustering videos using a self-supervised DNN
US12412368B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 7, 2022 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Nov 14, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20224
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided for clustering videos. The system accesses a plurality of content items, the plurality of content items comprising a first set of RGB video frames and a second set of optical flow frames corresponding to the first set of RGB video frames. The system processes the first set of RGB video frames by a first machine learning model to generate a first optimal assignment for the first set of RGB video frames, the first optimal assignment representing initial clustering of the first set of RGB video frames. The system generates an updated first optimal assignment for the first set of RGB video frames based on the first optimal assignment for the first set of RGB video frames and a second optimal assignment of the second set of optical flow frames, the second optimal assignment representing initial clustering of the second set of optical flow frames.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.