RealROI: Discovering Real Regions of Interest From Geotagged Photos-Reference-Cited by-同舟云学术

RealROI: Discovering Real Regions of Interest From Geotagged Photos

Published:2022 Issue: Volume:10 Page:83489-83497
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nam Kwang Woo¹^ORCID,Yang Kwangsoo²^ORCID

Affiliation:

1. School of Computer, Information, and Communication Engineering, Kunsan National University, Gunsan, Republic of Korea

2. Department of Computer Science, Florida Atlantic University, Boca Raton, FL, USA

Funder

National Research Foundation of Korea (NRF) Grant

Korean Government through the Ministry of Science and ICT

Korea Agency for Infrastructure Technology Advancement (KAIA) Grant

Ministry of Land, Infrastructure and Transport

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09852203.pdf?arnumber=9852203

Reference21 articles.

1. MediaQ

2. Mining Travel Patterns from Geotagged Photos

3. Generating Tourism Path from Trajectories and Geo-Photos

4. Mining tourist routes from Flickr photos

5. A method of area of interest and shooting spot detection using geo-tagged photographs;shirai;Proc 1st ACM SIGSPATIAL Int Workshop Comput Models Place,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook;Information Fusion;2025-01

2. Discovering Homogeneous Groups from Geo-Tagged Videos;Sensors;2023-05-01