Generating a multi-modal vector representing a source font and identifying a recommended font utilizing a multi-modal font machine-learning model
US12210813B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Nov 1, 2022 |
| Grant date | Jan 28, 2025 |
| Priority date | — |
| Expiry date | Nov 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates a multi-modal vector and identifies a recommended font corresponding to the source font based on the multi-modal vector. For instance, in one or more embodiments, the disclosed systems receive an indication of a source font and determines font embeddings and glyph metrics embedding. Furthermore, the disclosed system generates, utilizing a multi-modal font machine-learning model, a multi-modal vector representing the source font based on the font embeddings and the glyph metrics embedding.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.