Method of hashing vector data based on multi-scale curvature for vector content authentication
US11115190B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 26, 2018 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Apr 19, 2038 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D30/50
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
The present invention relates to a method of hashing a perceptual vector model based on a multi-scale curvature. According to a first aspect, there is provided a method of hashing a perceptual vector model based on a multi-scale curvature including: generating a multi-dimensional feature coefficient matrix, and obtaining a multi-dimensional intermediate hash coefficient matrix; and obtaining a final binary hash matrix, and enabling the multi-dimensional binary hash matrix to be hierarchically authenticated. In addition, according to a second aspect, there is provided a method of hashing a perceptual vector model based on a multi-scale curvature including: generating a hash by using a hash function; and authenticating a vector model. In addition, an error detection probability for an object attack can be lower by about 2×10−5˜2.8×10−2, and a uniqueness probability is raised by about 0.014. In addition, an entropy can be raised by about 0.875˜2.149.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.