Name
Abstract | ||
|---|---|---|
•An overview of exploitation of bioinformatics approaches in computer vision.•A novel video analysis paradigm, vide-omics, inspired by genomics principles.•A vide-omics-based pipeline for foreground extraction from freely moving cameras.•Robust performance largely independent from camera motion and scene•State-of-the-art results in presence of varied and complex camera motions. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cviu.2017.10.003 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
Computer vision,Freely moving camera,Genomics,Foreground detection,Segmentation,Scanlines | Computer vision,Segmentation,Computer science,Genomics,Foreground detection,Artificial intelligence | Journal |
Volume | Issue | ISSN |
166 | 1 | 1077-3142 |
Citations | PageRank | References |
1 | 0.34 | 33 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ioannis Kazantzidis | 1 | 1 | 0.34 |
| Francisco Flórez-revuelta | 2 | 481 | 34.95 |
| Mickael Dequidt | 3 | 1 | 0.34 |
| Natasha Hill | 4 | 1 | 0.34 |
| Jean-christophe Nebel | 5 | 238 | 19.58 |