Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/7137
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDeeksha, S.D.-
dc.contributor.authorAshrith, H.C.-
dc.contributor.authorBansode, R.-
dc.contributor.authorSowmya, Kamath S.-
dc.date.accessioned2020-03-30T09:58:32Z-
dc.date.available2020-03-30T09:58:32Z-
dc.date.issued2016-
dc.identifier.citation2015 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2015, 2016, Vol., , pp.-en_US
dc.identifier.urihttps://idr.nitk.ac.in/jspui/handle/123456789/7137-
dc.description.abstractGeo-tagged photos enable people to share their personal experiences while visiting various vacation spots through image sharing social networks like Flickr. The geo-tag information offers a wealth of information for capturing additional information on traveler behavior, trends, opinions and interests. In this paper, we propose a landmark discovery system that aims to discover popular tourist attractions in a city by assuming that the popularity of a tourist attraction is positively dependent on the visitor statistics and also the amount of tourist uploaded photos clicked on site. It is a known fact that places with lots of geo-tagged photos uploaded to Flickr are visited more often by social-media savvy tourists, who plan their trip based on others' experiences. We propose to build a system that identifies the most popular tourist places in a particular city by using geo-tagged photos collected from Flickr and recommend the same to the user. In this paper, we present the methodology of spatially clustering the geo-tagged images and present an analysis of algorithm performance in identifying landmarks and their popularity. � 2015 IEEE.en_US
dc.titleA spatial clustering approach for efficient landmark discovery using geo-tagged photosen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.