Name
Abstract | ||
|---|---|---|
With recent advances in CBIR, mobile visual location recognition becomes feasible. Using video recordings of a mobile device as a visual fingerprint of the environment and matching them to a georeferenced database provides pose information in a very natural way. Hence, LBSs can be provided without complex infrastructure in areas where the accuracy and availability of GPS is limited. This includes ... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/MSP.2011.940882 | IEEE Signal Processing Magazine |
Keywords | Field | DocType |
Visualization,Feature extraction,Visual databases,Mobile handsets,Global Positioning System,Quantization,Mobile computing | Mobile computing,Computer vision,Video recording,Computer science,Visualization,Georeference,Feature extraction,Fingerprint,Mobile device,Artificial intelligence,Global Positioning System | Journal |
Volume | Issue | ISSN |
28 | 4 | 1053-5888 |
Citations | PageRank | References |
36 | 1.56 | 2 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Georg Schroth | 1 | 250 | 12.71 |
| Robert Huitl | 2 | 142 | 8.35 |
| David Chen | 3 | 36 | 1.56 |
| Mohammad Abu-Alqumsan | 4 | 36 | 1.56 |
| Anas Al-Nuaimi | 5 | 79 | 6.86 |
| Eckehard G. Steinbach | 6 | 2221 | 299.71 |