ToPI: an approach to identify places of interest using geo-tagged images
Pages 938 - 943
Abstract
The growing use of social networks and photo sharing services produces a large volume of photos available on the Internet. This is also true for geo-tagged photos sharing services, in which users share trip photos with geographical locations and other descriptive metadata associated. Geo-tagged information has been used to identify places of interest (PoIs) and help tourists in visiting unfamiliar locations. However, these attempts do not consider the dynamism of image repositories and thus may result in inconsistencies, such as showing a PoI that no longer exists or not identifying a recent one. Moreover, they do not extract semantic information about the PoIs or use only their geographical location via a spatial proximity search, ignoring the associated metadata. This paper presents a PoI identification method, based on geo-tagged photos with associated metadata, retrieved from an image repository. Our strategy may be employed on any type of geo-tagged photo repository and thus is robust under inconsistencies and outdated information. The experiments show that our approach is promising and the returned list of places highly agrees with those from a popular travel website.
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Index Terms
- ToPI: an approach to identify places of interest using geo-tagged images
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Published In
April 2017
2004 pages
ISBN:9781450344869
DOI:10.1145/3019612
- Conference Chair:
- Sung Y. Shin,
- Program Chairs:
- Dongwan Shin,
- Maria Lencastre
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Published: 03 April 2017
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