Applying query based image relevance models
US9152700B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 13, 2012 |
| Grant date | Oct 6, 2015 |
| Priority date | — |
| Expiry date | Sep 30, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/194
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes receiving a search query comprising one or more query terms, receiving image relevance models that each generate relevance measures of content feature values of images to a query, each image relevance model being a predictive model that has been trained based on content feature values of a set of training images, and each of the queries being a unique set of one or more query terms received by a search system as a query input, identifying an image relevance model for a different query that has been identified as similar to the received search query, and calculating a fractional adjustment multiplier for search results responsive to the received search query, the fractional adjustment multiplier being based on a relevance measure generated by the identified image relevance model for the different query and based on a degree of similarity between the different query and the received search query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.