Christos Bampis
20Patents
2h-index
13Co-inventors
46Inventor score
Filing activity: Nov 3, 2015 → Sep 30, 2022
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US9699380B2 | Fusion of panoramic background images using color and depth data | Electricity | 7 | Active |
| US10798387B2 | Source-consistent techniques for predicting absolute perceptual video quality | Electricity | 2 | Active |
| US10834406B2 | Device-consistent techniques for predicting absolute perceptual video quality | Electricity | 1 | Active |
| US11563986B1 | Machine learning techniques for component-based image preprocessing | Electricity | 1 | Active |
| US10887602B2 | Techniques for modeling temporal distortions when predicting perceptual video quality | Electricity | 0 | Active |
| US11758148B2 | Device-consistent techniques for predicting absolute perceptual video quality | Electricity | 0 | Active |
| US11361416B2 | Quantifying encoding comparison metric uncertainty via bootstrapping | Electricity | 0 | Active |
| US11503304B2 | Source-consistent techniques for predicting absolute perceptual video quality | Electricity | 0 | Active |
| US11532077B2 | Techniques for computing perceptual video quality based on brightness and color components | Electricity | 0 | Active |
| US12075104B2 | Quantifying perceptual quality model uncertainty via bootstrapping | Electricity | 0 | Active |
| US11700383B2 | Techniques for modeling temporal distortions when predicting perceptual video quality | Electricity | 0 | Active |
| US11388412B2 | Video compression technique using a machine learning system | Electricity | 0 | Active |
| US11948271B2 | Machine learning techniques for video downsampling | Electricity | 0 | Active |
| US11284140B2 | Machine learning techniques for determining quality of user experience | Electricity | 0 | Active |
| US11557025B2 | Techniques for training a perceptual quality model to account for brightness and color distortions in reconstructed videos | Physics | 0 | Active |
| US12058340B2 | Video compression technique using a machine learning system | Electricity | 0 | Active |
| US11729396B2 | Techniques for modeling temporal distortions when predicting perceptual video quality | Electricity | 0 | Active |
| US10721477B2 | Techniques for predicting perceptual video quality based on complementary perceptual quality models | Electricity | 0 | Active |
| US12167000B2 | Techniques for predicting video quality across different viewing parameters | Electricity | 0 | Active |
| US11683545B2 | Machine learning techniques for determining quality of user experience | Electricity | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.