Automatic hot area detection in heat map visualizations
US11727030B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 5, 2020 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Jan 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure involves systems, software, and computer implemented methods for automatically detecting hot areas in heat map visualizations. One example method includes identifying a two-dimensional heat map. The identified two-dimensional heat map is converted to a one-dimensional heat map. Cells of the one-dimensional heat map are clustered using a density-based clustering algorithm to generate at least one dense region of cells. A mean value of cells in each dense region is calculated and the dense regions are sorted by mean value in descending order. An approach for identifying hot areas is selected and the selected approach is used to identify at least one dense region as a hot area of the one-dimensional heat map.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.