Learning tags for video annotation using latent subtags
US8930288B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 11, 2011 |
| Grant date | Jan 6, 2015 |
| Priority date | — |
| Expiry date | Feb 27, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A tag learning module trains video classifiers associated with a stored set of tags derived from textual metadata of a plurality of videos, the training based on features extracted from training videos. Each of the tag classifiers is comprised of a plurality of subtag classifiers relating to latent subtags within the tag. The latent subtags can be initialized by clustering cowatch information relating to the videos for a tag. After initialization to identify subtag groups, a subtag classifier can be trained on features extracted from each subtag group. Iterative training of the subtag classifiers can be accomplished by identifying the latent subtags of a training set using the subtag classifiers, then iteratively improving the subtag classifiers by training each subtag classifier with the videos designated as conforming closest to that subtag.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.