Name
Title | ||
|---|---|---|
Object based refinement of motion vector fields applying probabilistic homogenization rules |
Abstract | ||
|---|---|---|
This paper presents a new image analysis method, combining motion estimation and image segmentation. Whereas none of these methods, used on its own, delivers error free meta-information, an appropriate combination leads to an orthogonalization of these errors. This method is applied to improve the quality of motion vector fields. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/TCE.2002.1037063 | Consumer Electronics, IEEE Transactions |
Keywords | Field | DocType |
video signal processing,probabilistic homogenization rules,error free meta-information,image quality,error orthogonalization,image segmentation,motion estimation,image analysis,field rate upconversion,object detection,video signal,motion vector fields,probability,object based refinement | Computer vision,Object detection,Pattern recognition,Computer science,Homogenization (chemistry),Image quality,Image segmentation,Artificial intelligence,Motion estimation,Probabilistic logic,Orthogonalization,Motion vector | Journal |
Volume | Issue | ISSN |
48 | 3 | 0098-3063 |
Citations | PageRank | References |
9 | 0.98 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| H. Blume | 1 | 89 | 7.99 |
| Herczeg, G. | 2 | 9 | 0.98 |
| Erdler, O. | 3 | 9 | 0.98 |
| Tobias G. Noll | 4 | 199 | 37.51 |