Multi-view image clustering techniques using binary compression
US10885379B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 4, 2018 |
| Grant date | Jan 5, 2021 |
| Priority date | — |
| Expiry date | May 7, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/806
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure relates to improved techniques for performing multi-view image clustering. The techniques described herein utilize machine learning functions to optimize the image clustering process. Multi-view features are extracted from a collection of images. A machine learning function is configured to jointly learn a fused binary representation that combines the multi-view features and one or more binary cluster structures that can be used to partition the images. A clustering function utilizes the fused binary representation and the one or more binary cluster structures to generate one or more image clusters based on the collection of images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.