Refining image relevance models
US9454600B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 1, 2012 |
| Grant date | Sep 27, 2016 |
| Priority date | — |
| Expiry date | Mar 21, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/194
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems and apparatus for refining image relevance models. In general, one aspect includes receiving a trained image relevance model that generates relevance measures of content feature values of images to a query, identifying a first threshold number of common content feature values for the set of training images, the common content feature values being identified as a set of content feature values that are each shared by at least a portion of the training images, identifying a subset of the set of training images having a quantity of the common content feature values greater than a second threshold number of content features values, and generating a re-trained image relevance model based on content feature values of the set of training images, wherein content feature values of the subset of training images are weighted higher than content feature values of the training images not in the subset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.