Mobile visual location recognition

Georg Schroth; Robert Huitl; David Chen; Mohammad Abu-Alqumsan; Anas Al-Nuaimi; Eckehard Steinbach

doi:10.1109/MSP.2011.940882

Mobile visual location recognition

Georg Schroth, Robert Huitl, David Chen, Mohammad Abu-Alqumsan, Anas Al-Nuaimi, Eckehard Steinbach

Research output: Contribution to journal › Article › peer-review

101 Scopus citations

Abstract

Information about the location, orientation, and context of a mobile device is of central importance for future multimedia applications and location-based services (LBSs). With the widespread adoption of modern camera phones, including powerful processors, inertial measurement units, compass, and assisted global positioning system (GPS) receivers, the variety of locationand context-based services has significantly increased over the last years. These include, for instance, the search for points of interest in the vicinity, geotagging and retrieval of user generated media, targeted advertising, navigation systems, social applications such as Foursquare [1], and many more.

Original language	English
Article number	5888650
Pages (from-to)	77-89
Number of pages	13
Journal	IEEE Signal Processing Magazine
Volume	28
Issue number	4
DOIs	https://doi.org/10.1109/MSP.2011.940882
State	Published - Jul 2011
Externally published	Yes

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10.1109/MSP.2011.940882

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title = "Mobile visual location recognition",

abstract = "Information about the location, orientation, and context of a mobile device is of central importance for future multimedia applications and location-based services (LBSs). With the widespread adoption of modern camera phones, including powerful processors, inertial measurement units, compass, and assisted global positioning system (GPS) receivers, the variety of locationand context-based services has significantly increased over the last years. These include, for instance, the search for points of interest in the vicinity, geotagging and retrieval of user generated media, targeted advertising, navigation systems, social applications such as Foursquare [1], and many more.",

author = "Georg Schroth and Robert Huitl and David Chen and Mohammad Abu-Alqumsan and Anas Al-Nuaimi and Eckehard Steinbach",

note = "Funding Information: This research project has been supported in part by the space agency of the German Aerospace Center with funds from the Federal Ministry of Economics and Technology on the basis of a resolution of the German Bundestag under the reference 50NA1107. We thank Google for generously providing a Street View data set with high spatial resolution that was used to produce the results in Figures S1 and S2.",

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AU - Chen, David

AU - Abu-Alqumsan, Mohammad

AU - Al-Nuaimi, Anas

AU - Steinbach, Eckehard

N1 - Funding Information: This research project has been supported in part by the space agency of the German Aerospace Center with funds from the Federal Ministry of Economics and Technology on the basis of a resolution of the German Bundestag under the reference 50NA1107. We thank Google for generously providing a Street View data set with high spatial resolution that was used to produce the results in Figures S1 and S2.

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Mobile visual location recognition

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