Content-based image retrieval apparatus and method via relevance feedback by using fuzzy integral
US6744935B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2000 |
| Grant date | Jun 1, 2004 |
| Priority date | — |
| Expiry date | Jul 17, 2022 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99936
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The invention relates to a content-based image retrieval apparatus and method via relevance feedback by using fuzzy integral and a computer readable record medium storing programs for realizing the apparatus and method. According to the invention, it is provided a content-based image retrieval apparatus and method in which image features are associated by using fuzzy integral and parameters necessary for the fuzzy integral are adjusted in similarity calculations via relevance feedback so as to improve search results. The method comprises the steps of: measuring similarities according to feature between images stored in a database and a new query image; associating the similarities measured according to feature by using the fuzzy integral to measure similarities according to the fuzzy integral; bringing images sequentially in the order of higher similarity according to the finally obtained similarities and transmitting a search result; and recalculating similarities according to feature via relevance feedback about the query result to output converted images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.