High-dimensional data nearest-neighbor query method based on variable-length hash codes
US11488061B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 1, 2019 |
| Grant date | Nov 1, 2022 |
| Priority date | — |
| Expiry date | Apr 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F17/14
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A high-dimensional data nearest-neighbor query method based on variable-length hash codes is disclosed. Specifically, in this method, hash codes with the same code frequency are taken as a sub-data set, all the sub-data sets are ranked, a compression ratio is set for each sub-data set, the sub-data sets are compressed and trained according to the compression ratios, and hash codes and original codes corresponding to the trained sub-data sets are obtained; the hash code of each trained sub-data sets is copied to obtain multiple replicas, and the original codes and the corresponding replicas are strung to obtain strung hash codes which are integrated to form a final nearest-neighbor query table; and, a query code is obtained, and the nearest-neighbor query table is searched for a nearest-neighbor data set to complete query. The query efficiency and accuracy are greatly improved according to the invention.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.