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.
CITATION STYLE
Yamasaki, T., Aizawa, K., Gallagher, A., & Chen, T. (2015). Personalized travel navigation and photo–shooting navigation using large–scale geotags. In Multimodal Location Estimation of Videos and Images (pp. 173–191). Springer International Publishing. https://doi.org/10.1007/978-3-319-09861-6_10
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