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A Regional Exploration and Recommendation System Based on Georeferenced Images

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 8640)

Abstract

Socially tagged images contain rich spatial information about the culture and environment that could exemplify the composition of regions and provide a useful geovisual assessment. Flickr is one of such prominent data sources capable of making sense of the geospatial world. In several spatial decision scenarios such as touring a new city, end-users are interested in the characterization and comparison of relevant geographic regions. But the current means of interfaces limit the end users on visual abstraction and comparison of relevant geographic regions. In this work we propose a system that generates the makeup of a region based on geospatial tagged images of the region. We can then use the relevant metadata to identify and compare other suitable regions which exhibit a similar fingerprint of images. The developed interface allows the user to get a good regional overview, and also to drill in and compare selected regions.

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  • DOI: 10.1007/978-3-319-10359-4_24
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Kumar, C., Barton, S., Heuten, W., Boll, S. (2014). A Regional Exploration and Recommendation System Based on Georeferenced Images. In: Awan, I., Younas, M., Franch, X., Quer, C. (eds) Mobile Web Information Systems. MobiWIS 2014. Lecture Notes in Computer Science, vol 8640. Springer, Cham. https://doi.org/10.1007/978-3-319-10359-4_24

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  • DOI: https://doi.org/10.1007/978-3-319-10359-4_24

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10358-7

  • Online ISBN: 978-3-319-10359-4

  • eBook Packages: Computer ScienceComputer Science (R0)