RealROI: Discovering Real Regions of Interest From Geotagged Photos
RealROI: Discovering Real Regions of Interest From Geotagged Photos
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DOI：
10.1109/access.2022.3197169
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发表时间：
2022-01-01
期刊：
影响因子：
3.9
通讯作者：
Yang, Kwangsoo
中科院分区：
文献类型：
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作者：
Nam, Kwang Woo;Yang, Kwangsoo
给定一组带有拍摄视角方向的地理标记照片，“发现真实感兴趣区域”（DRRI）问题旨在识别照片中的真实感兴趣区域（RealROIs）。该问题在诸多社会应用中具有重要意义，包括旅游路线推荐和旅游广告等。许多研究利用地理标记照片来发现感兴趣区域或路线，并依据相似偏好提供推荐。然而，这些方法在识别真实感兴趣区域方面并不理想，因为对地理标记照片的利用仅限于照片的GPS坐标。为解决这一问题，我们提出了DRRI问题，该问题能够利用几何和方向信息来识别有趣的区域，并开发新颖的算法，基于照片的拍摄方向来发现照片中的真实感兴趣区域。我们的实验结果和案例研究表明，我们的方法优于相关研究成果。
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.