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Personalized Travel Navigation and Photo-Shooting Navigation Using Large-Scale Geotags

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Multimodal Location Estimation of Videos and Images

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Abstract

In this chapter, a geotag-based inter/intra-city travel and photo-shooting navigation system that considers both the personal preference and the seasonal/temporal popularity is presented. For the inter-city travel navigation, similarity among users is efficiently calculated by combining our visit pattern similarity and photo shooting pattern similarity. Accurate intra-city travel navigation is achieved by incorporating the seasonal and temporal information into a Markov model. Photo-shooting navigation by using large-scale geotagged photos is also presented. The effectiveness of the proposed algorithms have been experimentally demonstrated by using more than millions of geo-tags and photos downloaded from Flickr.

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Notes

  1. 1.

    http://www.baedeker.com

  2. 2.

    http://www.michelintravel.com.

  3. 3.

    http://www.lonelyplanet.com.

  4. 4.

    http://www.yelp.com.

  5. 5.

    http://www.tripadvisor.com.

  6. 6.

    http://travel.yahoo.com.

  7. 7.

    www.flickr.com.

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Authors and Affiliations

  1. Department of Information and Communication Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan

    T. Yamasaki & K. Aizawa

  2. School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, 14853-7501, USA

    A. Gallagher & T. Chen

Authors
  1. T. Yamasaki
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  2. A. Gallagher
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  3. T. Chen
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  4. K. Aizawa
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Corresponding author

Correspondence to T. Yamasaki .

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Editors and Affiliations

  1. International Computer Science Institute, Berkeley, California, USA

    Jaeyoung Choi

  2. International Computer Science Institute, Berkeley, California, USA

    Gerald Friedland

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Yamasaki, T., Gallagher, A., Chen, T., Aizawa, K. (2015). Personalized Travel Navigation and Photo-Shooting Navigation Using Large-Scale Geotags. In: Choi, J., Friedland, G. (eds) Multimodal Location Estimation of Videos and Images. Springer, Cham. https://doi.org/10.1007/978-3-319-09861-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-09861-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09860-9

  • Online ISBN: 978-3-319-09861-6

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