Image retrieval based on relevance feedback
US7613686B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 26, 2004 |
| Grant date | Nov 3, 2009 |
| Priority date | — |
| Expiry date | Oct 15, 2027 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99948
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An improved image retrieval process based on relevance feedback uses a hierarchical (per-feature) approach in comparing images. Multiple query vectors are generated for an initial image by extracting multiple low-level features from the initial image. When determining how closely a particular image in an image collection matches the initial image, a distance is calculated between the query vectors and corresponding low-level feature vectors extracted from the particular image. Once these individual distances are calculated, they are combined to generate an overall distance that represents how closely the two images match. According to other aspects, relevancy feedback received regarding previously retrieved images is used during the query vector generation and the distance determination to influence which images are subsequently retrieved.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.