Utilizing a trained multi-modal combination model for content and text-based evaluation and distribution of digital video content to client devices
US10860858B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 15, 2018 |
| Grant date | Dec 8, 2020 |
| Priority date | — |
| Expiry date | Mar 9, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/811
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, methods, and computer readable media that utilize a trained multi-modal combination model for content and text-based evaluation and distribution of digital video content to client devices. For example, systems described herein include training and/or utilizing a combination of trained visual and text-based prediction models to determine predicted performance metrics for a digital video. The systems described herein can further utilize a multi-modal combination model to determine a combined performance metric that considers both visual and textual performance metrics of the digital video. The systems described herein can further select one or more digital videos for distribution to one or more client devices based on combined performance metrics associated with the digital videos.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.