Discovering visual concepts from weakly labeled image collections
US9965704B2 · kind B2 · utility
7Cited by
3References
18Claims
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Key dates
| Filing date | Oct 30, 2015 |
| Grant date | May 8, 2018 |
| Priority date | — |
| Expiry date | Oct 30, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Images uploaded to photo sharing websites often include some tags or sentence descriptions. In an example embodiment, these tags or descriptions, which might be relevant to the image contents, become the weak labels of these images. The weak labels can be used to identify concepts for the images using an iterative hard instance learning algorithm to discover visual concepts from the label and visual feature representations in the weakly labeled images. The visual concept detectors can be directly applied to concept recognition and detection.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.