Journal
IEEE ACCESS
Volume 10, Issue -, Pages 83489-83497Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3197169
Keywords
Global Positioning System; Multimedia Web sites; Image databases; Cameras; Social networking (online); Data mining; Smart phones; Social factors; Tagging; Geology; Geotagged photos; region of interest; social data mining; recommendations
Categories
Funding
- National Research Foundation of Korea (NRF) Grant by the Korean Government through the Ministry of Science and ICT (MSIT) [2020R1F1A1048432]
- Korea Agency for Infrastructure Technology Advancement (KAIA) Grant by the Ministry of Land, Infrastructure and Transport [RS-2022-00143336]
- U.S. National Science Foundation [1844565]
- Office of Advanced Cyberinfrastructure (OAC)
- Direct For Computer & Info Scie & Enginr [1844565] Funding Source: National Science Foundation
- National Research Foundation of Korea [2020R1F1A1048432] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Ask authors/readers for more resources
This paper introduces the DRRI problem, which utilizes the geometric and directional information of photos to identify the real regions of interest. Experimental results and case studies demonstrate that our approach outperforms existing methods.
Given a set of geotagged photos with a view direction, the discovering real regions of interest (DRRI) problem identifies real regions of Interest (RealROIs) in the photos. The problem is important in many societal applications, including tourist route recommendations and travel advertisements. Much work utilized geotagged photos to discover regions of interest or routes and to provide recommendations according to similar preferences. However, these approaches are not ideal for identifying RealROIs because the usage of geotagged photos is limited to the GPS coordinates of the photo. To remedy this issue, we propose the DRRI problem that can use geometric and directional information to identify the interesting regions and develop novel algorithms to discover RealROIs in photos based on the direction in which the photos were taken. Our experimental results and case studies show that our approach outperforms the related work.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available