Refining image relevance models
US9177046B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 17, 2014 |
| Grant date | Nov 3, 2015 |
| Priority date | — |
| Expiry date | Nov 17, 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 of the subject matter described in this specification can be implemented in methods that include re-training an image relevance model by generating a first re-trained model based on content feature values of first images of a first portion of training images in a set of training images, receiving, from the first re-trained model, image relevance scores for second images of a second portion of the set of training images, removing, from the set of training images, some of the second images identified as outlier images for which the image relevance score received from the first re-trained model is below a threshold score, and generating a second re-trained model based on content feature values of the first images of the first portion and the second images of the second portion that remain following removal of the outlier images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.