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Paint the City Colorfully: Location Visualization from Multiple Themes

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Advances in Multimedia Modeling (MMM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7732))

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The prevalence of digital photo capturing devices has generated large-scale photos with geographical information, leading to interesting tasks like geographically organizing photos and location visualization. In this work, we propose to organize photos both geographically and thematically, and investigate the problem of location visualization from multiple themes. The novel visualization scheme provides a rich display landscape for location exploration from all-round views. A two-level solution is presented, where we first identify the highly photographed places (POI) and discover their distributed themes, and then aggregate the lower-level themes to generate the higher-level themes for location visualization. We have conducted experiments on a Flickr dataset and exhibited the visualization for the Singapore city. The experimental results have validated the proposed method and demonstrated the potentials of location visualization from multiple themes.

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Fang, Q., Sang, J., Xu, C., Lu, K. (2013). Paint the City Colorfully: Location Visualization from Multiple Themes. In: Li, S., et al. Advances in Multimedia Modeling. MMM 2013. Lecture Notes in Computer Science, vol 7732. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35724-4

  • Online ISBN: 978-3-642-35725-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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