Discovering Underground Maps from Fashion
Discovering Underground Maps from Fashion
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DOI：
10.1109/wacv51458.2022.00057
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发表时间：
2020-12
期刊：
影响因子：
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通讯作者：
Utkarsh Mall;Kavita Bala;Tamara L. Berg;K. Grauman
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文献类型：
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作者：
Utkarsh Mall;Kavita Bala;Tamara L. Berg;K. Grauman
一个地区的时尚感--指的是人们穿的衣服风格--可以揭示该地区的信息。例如，它可以反映人们在那里进行的活动的类型，或者经常访问该地区的人群的类型(例如，旅游热点、学生社区、商业中心)。我们提出了一种通过分析人们的着装来创建城市地下社区地图的方法。使用整个城市的公开图片，我们的方法自动将地图分割成具有类似时尚感的社区。我们的方法进一步允许发现城市的洞察力，例如检测不同的社区(纽约市最独特的地区是什么？)回答城市之间的类比问题(波哥大的洛杉矶市中心是什么？)。我们还提出了两个新的地下地图基准，来自全球37个城市的非图像数据。我们的方法在这些基准测试和人类评委的实验中都显示了令人振奋的结果。“地图不是被映射的东西。”--埃里克·坦普尔·贝尔
The fashion sense—meaning the clothing styles people wear—in a geographical region can reveal information about that region. For example, it can reflect the kind of activities people do there, or the type of crowds that frequently visit the region (e.g., tourist hot spot, student neighborhood, business center). We propose a method to create underground neighborhood maps of cities by analyzing how people dress. Using publicly available images from across a city, our method automatically segments the map into neighborhoods with a similar fashion sense. Our approach further allows discovering insights about a city, such as detecting distinct neighborhoods (what is the most unique region of NYC?) and answering analogy questions between cities (what is the "Downtown LA" of Bogota?). We also present two new underground map benchmarks derived from non-image data for 37 cities worldwide. Our method shows promising results on both these benchmarks as well as experiments with human judges."The map is not the thing mapped."—Eric Temple Bell