Statistical bigram correlation model for image retrieval
US7430566B2 · kind B2 · utility
16Cited by
7References
15Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Feb 11, 2005 |
| Grant date | Sep 30, 2008 |
| Priority date | — |
| Expiry date | Feb 17, 2026 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99948
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed subject matter improves iterative results of content-based image retrieval (CBIR) using a bigram model to correlate relevance feedback. Specifically, multiple images are received responsive to multiple image search sessions. Relevance feedback is used to determine whether the received images are semantically relevant. A respective semantic correlation between each of at least one pair of the images is then estimated using respective bigram frequencies. The bigram frequencies are based on multiple search sessions in which each image of a pair of images is semantically relevant.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.