Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/10081
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gavrić, Katarina | en_US |
dc.contributor.author | Ćulibrk, Dubravko | en_US |
dc.contributor.author | Lugonja, Predrag | en_US |
dc.contributor.author | Mirković, Milan | en_US |
dc.contributor.author | Crnojević, Vladimir | en_US |
dc.date.accessioned | 2020-03-03T14:37:13Z | - |
dc.date.available | 2020-03-03T14:37:13Z | - |
dc.date.issued | 2011 | - |
dc.identifier.isbn | 9781457720161 | en_US |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/10081 | - |
dc.description.abstract | This paper presents an approach to detecting locations attractive to tourists and discovering tourists' dynamics based on data obtained from publicly available geo-referenced images. Results of an analysis based on geo-visualization methods and data obtained from Flickr are presented in this paper. We focus on data tagged as recorded in Berlin, Germany. The goal is to identify attractive locations in the city, assuming that an attractive place is characterized by large amounts of photos taken by many people. In addition, we attempt to identify standard routes people take when making a tour. To achieve this, we propose an approach based on density-based clustering and route similarity and dynamics clustering. The results presented in the paper indicate that information obtained by analyzing Flickr photos can be used to reliably detect locations attractive to tourists and suggest best tour routes. © 2011 IEEE. | en |
dc.relation.ispartof | 2011 10th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services, TELSIKS 2011 - Proceedings of Papers | en |
dc.title | Detecting attractive locations and tourists' dynamics using geo-referenced images | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | 10.1109/TELSKS.2011.6112035 | - |
dc.identifier.scopus | 2-s2.0-84855857751 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84855857751 | - |
dc.description.version | Unknown | en_US |
dc.relation.lastpage | 211 | en |
dc.relation.firstpage | 208 | en |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Departman za industrijsko inženjerstvo i menadžment | - |
crisitem.author.dept | Institut BioSense | - |
crisitem.author.dept | Departman za industrijsko inženjerstvo i menadžment | - |
crisitem.author.dept | Institut BioSense | - |
crisitem.author.orcid | 0000-0001-7399-8789 | - |
crisitem.author.orcid | 0000-0001-7144-378X | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
crisitem.author.parentorg | Univerzitet u Novom Sadu | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
crisitem.author.parentorg | Univerzitet u Novom Sadu | - |
Appears in Collections: | FTN Publikacije/Publications |
SCOPUSTM
Citations
13
checked on Aug 26, 2023
Page view(s)
50
Last Week
22
22
Last month
4
4
checked on May 3, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.