Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos

The accuracy and completeness of information in geographical databases are very important for many location-based applications and services. However, the incompleteness in geographical databases is currently an issue. One consequence of this is that the geographic bounding boxes of many points of in...

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Main Author: Thanh-Hieu Bui
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10024776/
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author Thanh-Hieu Bui
author_facet Thanh-Hieu Bui
author_sort Thanh-Hieu Bui
collection DOAJ
description The accuracy and completeness of information in geographical databases are very important for many location-based applications and services. However, the incompleteness in geographical databases is currently an issue. One consequence of this is that the geographic bounding boxes of many points of interests (POIs) have not been known. This paper studies the problem of estimating geographic bounding boxes for POIs using geo-tagged photos contributed by public users on social media. We present a novel approach using relevant geo-tagged photos of POIs to estimate geographic bounding boxes for the POIs. In the proposed method, we extend to apply survival analysis with random distance variable for our estimation. We demonstrate the superiority and effectiveness of our proposed approach over competing methods.
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spelling doaj.art-b9fe8b7fce894d108468f43bba89c92e2023-02-21T00:03:04ZengIEEEIEEE Access2169-35362023-01-01117837784910.1109/ACCESS.2023.323901410024776Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged PhotosThanh-Hieu Bui0https://orcid.org/0000-0003-0443-7800College of Technology and Design, University of Economics Ho Chi Minh City (UEH University), Ho Chi Minh City, VietnamThe accuracy and completeness of information in geographical databases are very important for many location-based applications and services. However, the incompleteness in geographical databases is currently an issue. One consequence of this is that the geographic bounding boxes of many points of interests (POIs) have not been known. This paper studies the problem of estimating geographic bounding boxes for POIs using geo-tagged photos contributed by public users on social media. We present a novel approach using relevant geo-tagged photos of POIs to estimate geographic bounding boxes for the POIs. In the proposed method, we extend to apply survival analysis with random distance variable for our estimation. We demonstrate the superiority and effectiveness of our proposed approach over competing methods.https://ieeexplore.ieee.org/document/10024776/Geographic bounding boxPOIsurvival analysisgeo-tagged photosFlickr
spellingShingle Thanh-Hieu Bui
Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos
IEEE Access
Geographic bounding box
POI
survival analysis
geo-tagged photos
Flickr
title Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos
title_full Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos
title_fullStr Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos
title_full_unstemmed Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos
title_short Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos
title_sort estimating bounding box for point of interest using social media geo tagged photos
topic Geographic bounding box
POI
survival analysis
geo-tagged photos
Flickr
url https://ieeexplore.ieee.org/document/10024776/
work_keys_str_mv AT thanhhieubui estimatingboundingboxforpointofinterestusingsocialmediageotaggedphotos