A method of Area of Interest and Shooting Spot Detection using Geo-tagged Photographs

IF 0.1 0 LITERATURE Comparatist Pub Date : 2013-01-01 DOI:10.1145/2534848.2534854
M. Shirai, Masaharu Hirota, H. Ishikawa, Shohei Yokoyama
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引用次数: 14

Abstract

Social media sites include many photographs taken at various locations and times. As described herein, we propose a method to identify hotspots to visualize user interest using geo-tagging of photographs posted on social media sites. Hotspots are classifiable to two types based on its locations: area of interest or shooting spot. In some cases, a hotspot has relation to other hotspots. We extract and classify hotspots according to that relation based on the bias of photograph location and photograph orientation. Moreover, we classify whether an event happened or did not happen in extracted hotspots.
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一种基于地理标记的感兴趣区域和拍摄点检测方法
社交媒体网站上有许多在不同地点和时间拍摄的照片。如本文所述,我们提出了一种方法来识别热点可视化用户的兴趣使用地理标记发布在社交媒体网站上的照片。热点根据其位置分为两种类型:兴趣区域或拍摄地点。在某些情况下,一个热点与其他热点存在关联。我们基于照片位置和照片方向的偏差,根据这种关系提取热点并进行分类。此外,我们在提取的热点中对事件是否发生进行分类。
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Comparatist
Comparatist LITERATURE-
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Towards Platial Joins and Buffers in Place-Based GIS A method of Area of Interest and Shooting Spot Detection using Geo-tagged Photographs Identification of structural landmarks in a park using movement data collected in a location-based game A Comparison of String Similarity Measures for Toponym Matching Extracting Spatial Information From Place Descriptions
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