Methods for improving image search in large-scale databases
US8805117B2 · kind B2 · utility
11Cited by
2References
19Claims
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Key dates
| Filing date | Jul 19, 2011 |
| Grant date | Aug 12, 2014 |
| Priority date | — |
| Expiry date | Sep 14, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/762
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for addressing the problem of specific planar object search from a large-scale image database. Given a query image with a particular object and a planar surface, the systems and methods attempt to find, from a large image corpus, a set of representative images in which that object appears. According to the complexity of geometric transformations between a query image and its target images, the whole problem can be categorized into two classes: Rotation-Scale-Translation (RST)-transformed image search, and affine/homography-transformed image search.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.