Predicting engagement in video content
US8959540B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 19, 2010 |
| Grant date | Feb 17, 2015 |
| Priority date | — |
| Expiry date | Feb 9, 2032 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/6582
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
User engagement in unwatched videos is predicted by collecting and aggregating data describing user engagement with watched videos. The data are normalized to reduce the influence of factors other than the content of the videos on user engagement. Engagement metrics are calculated for segments of watched videos that indicate user engagement with each segment relative to overall user engagement with the watched videos. Features of the watched videos within time windows are characterized, and a function is learned that relates the features of the videos within the time windows to the engagement metrics for the time windows. The features of a time window of an unwatched video are characterized, and the learned function is applied to the features to predict user engagement to the time window of the unwatched video. The unwatched video can be enhanced based on the predicted user engagement.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.