• DocumentCode
    1557181
  • 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
  • Volume
    28
  • Issue
    4
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    77
  • Lastpage
    89
  • 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;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2011.940882
  • Filename
    5888650
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1557181