User responsive dynamic content transformation
US12096093B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 9, 2023 |
| Grant date | Sep 17, 2024 |
| Priority date | — |
| Expiry date | Apr 20, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/8106
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A system includes a hardware processor and a memory storing software code and one or more machine learning (ML) model(s) trained to transform content. The hardware processor executes the software code to ingest content components each corresponding respectively to a different feature of multiple features included in a content file, receive sensor data describing at least one of an action or an environment of a system user, and identify, using the sensor data, at least one of the content components as content to be transformed. The hardware processor further executes the software code to transform, using the ML model(s), that identified content to provide at least one transformed content component, combine a subset of the ingested content components with the at least one transformed content component to produce a dynamically transformed content, and output the dynamically transformed content in real-time with respect to ingesting the content components.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.