Learning category classifiers for a video corpus
US8819024B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 19, 2010 |
| Grant date | Aug 26, 2014 |
| Priority date | — |
| Expiry date | Jul 1, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/36
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A classifier training system learns classifiers for categories by combining data from a category-instance repository comprising relationships between categories and more specific instances of those categories with a set of video classifiers for different concepts. The category-instance repository is derived from the domain of textual documents, such as web pages, and the concept classifiers are derived from the domain of video. Taken together, the category-instance repository and the concept classifiers provide sufficient data for obtaining accurate classifiers for categories that encompass other lower-level concepts, where the categories and their classifiers may not be obtainable solely from the video domain.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.