System and method for automatic linguistic indexing of images by a statistical modeling approach
US7394947B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 8, 2004 |
| Grant date | Jul 1, 2008 |
| Priority date | — |
| Expiry date | Dec 30, 2026 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99948
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a statistical modeling approach to automatic linguistic indexing of photographic images. The invention uses categorized images to train a dictionary of hundreds of statistical models each representing a concept. Images of any given concept are regarded as instances of a stochastic process that characterizes the concept. To measure the extent of association between an image and a textual description associated with a predefined concept, the likelihood of the occurrence of the image based on the characterizing stochastic process is computed. A high likelihood indicates a strong association between the textual description and the image. The invention utilizes two-dimensional multi-resolution hidden Markov models that demonstrate accuracy and high potential in linguistic indexing of photographic images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.