Title :
Mobile Visual Location Recognition
Author :
Schroth, Georg ; Huitl, Robert ; Chen, David ; Abu-Alqumsan, Mohammad ; Al-Nuaimi, Anas ; Steinbach, Eckehard
Author_Institution :
Tech. Univ. Munchen (TUM), Garching, Germany
fDate :
7/1/2011 12:00:00 AM
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 indoor environments where georeferenced data are just about to become publicly available.
Keywords :
Global Positioning System; geophysics computing; image recognition; mobile computing; mobile handsets; video recording; video retrieval; CBIR; GPS; georeferenced database; mobile visual location recognition; video recordings; visual fingerprint; Feature extraction; Global Positioning System; Mobile computing; Mobile handsets; Quantization; Visual databases; Visualization;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2011.940882
