Dror Porat
17Patents
2h-index
27Co-inventors
50Inventor score
Filing activity: Sep 9, 2013 → Jan 12, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US10417501B2 | Object recognition in video | Physics | 5 | Active |
| US9460554B2 | Aerial video annotation | Physics | 3 | Active |
| US10795549B2 | Generating a graphical user interface to navigate video content | Physics | 2 | Active |
| US10885370B2 | Selecting object detections or recognitions using correctness mappings | Physics | 2 | Active |
| US11157744B2 | Automated detection and approximation of objects in video | Physics | 1 | Active |
| US9373360B2 | Instantaneous preview of data associated with a video | Physics | 1 | Active |
| US10528208B2 | Instantaneous preview of a data stream with non-linear time warping | Physics | 0 | Active |
| US11132556B2 | Detecting application switches in video frames using min and max pooling | Physics | 0 | Active |
| US12008638B2 | Method, computing device, and non-transitory machine readable medium for feedback based item selection and transmission | Physics | 0 | Active |
| US11062462B2 | Detection of visual tracker divergence | Physics | 0 | Active |
| US11544777B2 | Method, device, and non-transitory machine readable medium for feedback based item selection and transmission | Physics | 0 | Active |
| US12335486B2 | Content-aware, machine-learning-based rate control | Electricity | 0 | Active |
| US11164005B1 | System and method for reducing resources costs in visual recognition of video based on static scene summary | Physics | 0 | Active |
| US10210908B2 | Non-greedy hierarchical segmentation of serial data | Physics | 0 | Active |
| US9892335B2 | Real-time system for determining current video scale | Physics | 0 | Active |
| US12256084B2 | Quality-metric-agnostic rate control | Electricity | 0 | Active |
| US11822591B2 | Query-based granularity selection for partitioning recordings | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.