System and method for performing saliency detection using deep active contours
US10699151B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | May 31, 2017 |
| Grant date | Jun 30, 2020 |
| Priority date | — |
| Expiry date | May 8, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method are provided for performing saliency detection on an image or video. The method includes training and creating deep features using deep neural networks, such that an input image is transformed into a plurality of regions, which minimizes intra-class variance, and maximizes inter-class variance, according to one or more active contour energy constraints. The method also includes providing and output associated with the deep features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.