Unsupervised classification of gameplay video using machine learning models
US11023732B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 2, 2019 |
| Grant date | Jun 1, 2021 |
| Priority date | — |
| Expiry date | Jul 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/47
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various examples, potentially highlight-worthy video clips are identified from a gameplay session that a gamer might then selectively share or store for later viewing. The video clips may be identified in an unsupervised manner based on analyzing game data for durations of predicted interest. A classification model may be trained in an unsupervised manner to classify those video clips without requiring manual labeling of game-specific image or audio data. The gamer can select the video clips as highlights (e.g., to share on social media, store in a highlight reel, etc.). The classification model may be updated and improved based on new video clips, such as by creating new video-clip classes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.