Statistical bigram correlation model for image retrieval
US6901411B2 · kind B2 · utility
43Cited by
3References
52Claims
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Key dates
| Filing date | Feb 11, 2002 |
| Grant date | May 31, 2005 |
| Priority date | — |
| Expiry date | May 24, 2023 |
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.