Automatic generation of events using a machine-learning model
US12340584B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 25, 2024 |
| Grant date | Jun 24, 2025 |
| Priority date | — |
| Expiry date | Jun 25, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/173
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A media application segments a library of media associated with a user account into episodes, wherein each episode is associated with a corresponding time period. The media application generates, using an event machine-learning model, an event signal that indicates a likelihood that an event occurred in each episode, wherein the event machine-learning model is a classifier that receives the media as input. The media application generates an event significance score for each episode. The media application determines one or more events from the episodes based on the event signal and a corresponding event significance score exceeding a threshold event significance value. The media application provides a user interface that includes corresponding media from the one or more events.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.