Real-time computerized annotation of pictures
US7941009B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 15, 2007 |
| Grant date | May 10, 2011 |
| Priority date | — |
| Expiry date | Jan 20, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computerized annotation method achieves real-time operation and better optimization properties while preserving the architectural advantages of the generative modeling approach. A novel clustering algorithm for objects is represented by discrete distributions, or bags of weighted vectors, thereby minimizing the total within cluster distance, a criterion used by the k-means algorithm. A new mixture modeling method, the hypothetical local mapping (HLM) method, is used to efficiently build a probability measure on the space of discrete distributions. Thus, in accord with the invention every image is characterized by a statistical distribution. The profiling model specifies a probability law for distributions directly.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.