Cognitive memory and auto-associative neural network based search engine for computer and network located images and photographs
US7333963B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Oct 7, 2005 |
| Grant date | Feb 19, 2008 |
| Priority date | — |
| Expiry date | Oct 7, 2025 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S706/934
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Designs for cognitive memory systems storing input data, images, or patterns, and retrieving it without knowledge of where stored when cognitive memory is prompted by query pattern that is related to sought stored pattern. Retrieval system of cognitive memory uses autoassociative neural networks and techniques for pre-processing query pattern to establish relationship between query pattern and sought stored pattern, to locate sought pattern, and to retrieve it and ancillary data. Cognitive memory, when connected to computer or information appliance introduces computational architecture that applies to systems and methods for navigation, location and recognition of objects in images, character recognition, facial recognition, medical analysis and diagnosis, video image analysis, and to photographic search engines that when prompted with a query photograph containing faces and objects will retrieve related photographs stored in computer or other information appliance, and will identify URL's of related photographs and documents stored on the World Wide Web.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.