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dc.contributor.authorSandnes, Frode Eika
dc.date.accessioned2012-02-03T13:00:37Z
dc.date.available2012-02-03T13:00:37Z
dc.date.issued2011
dc.identifier.citationSandnes, F. E. (2011). Determining the Geographical Location of Image Scenes based on Object Shadow Lengths. Journal of Signal Processing Systems, 65 (1), 35-47.en_US
dc.identifier.issn1939-8018
dc.identifier.otherFRIDAID 846820
dc.identifier.urihttps://hdl.handle.net/10642/1092
dc.description.abstractMany studies have addressed various applications of geo-spatial image tagging such as image retrieval, image organisation and browsing. Geo-spatial image tagging can be done manually or automatically with GPS enabled cameras that allow the current position of the photographer to be incorporated into the meta-data of an image. However, current GPS-equipment needs certain time to lock onto navigation satellites and these are therefore not suitable for spontaneous photography. Moreover, GPS units are still costly, energy hungry and not common in most digital cameras on sale. This study explores the potential of, and limitations associated with, extracting geo-spatial information from the image contents. The elevation of the sun is estimated indirectly from the contents of image collections by measuring the relative length of objects and their shadows in image scenes. The observed sun elevation and the creation time of the image is input into a celestial model to estimate the approximate geographical location of the photographer. The strategy is demonstrated on a set of manually measured photographs.en_US
dc.language.isoengen_US
dc.publisherSpringer Science+Business Media, LLCen_US
dc.relation.ispartofseriesJournal of Signal Processing Systems;65 (1)
dc.subjectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.subjectGeo-spatial taggingen_US
dc.subjectImage content analysisen_US
dc.subjectImage classificationen_US
dc.subjectWebcam analysisen_US
dc.titleDetermining the Geographical Location of Image Scenes based on Object Shadow Lengthsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionThe original publication is available at www.springerlink.com URL: http://dx.doi.org/10.1007/s11265-010-0538-x
dc.identifier.doihttp://dx.doi.org/10.1007/s11265-010-0538-x


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