NDLI: ToPI: an approach to identify places of interest using geo-tagged images

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ToPI: an approach to identify places of interest using geo-tagged images

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ToPI: an approach to identify places of interest using geo-tagged images

Content Provider	ACM Digital Library
Author	Paiva, Jose Gustavo S. Guliato, Denise Ponciano, Jean R.
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 Our strategy may be employed on any type of geo-tagged photo repository and thus is robust under inconsistencies and outdated information.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.
Starting Page	938
Ending Page	943
Page Count	6
File Format	PDF
ISBN	9781450344869
DOI	10.1145/3019612.3019695
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-04-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Dynamic context Geo-tagged data Places of interest Tourist places identification
Content Type	Text
Resource Type	Article

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