Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-319-09861-6_10
Title: Personalized travel navigation and photo-shooting navigation using large-scale geotags
Authors: Yamasaki T.
Aizawa K.
Gallagher A.
Chen T. 
Issue Date: 2015
Publisher: Springer International Publishing
Citation: Yamasaki T., Aizawa K., Gallagher A., Chen T. (2015). Personalized travel navigation and photo-shooting navigation using large-scale geotags. Multimodal Location Estimation of Videos and Images : 173-191. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-319-09861-6_10
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. � Springer International Publishing Switzerland 2015.
Source Title: Multimodal Location Estimation of Videos and Images
URI: http://scholarbank.nus.edu.sg/handle/10635/146080
ISBN: 9783319098616; 9783319098609
DOI: 10.1007/978-3-319-09861-6_10
Appears in Collections:Staff Publications

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