Pleasant Route Suggestion based on Color and Object Rates
Pleasant Route Suggestion based on Color and Object Rates
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DOI：
10.1145/3289600.3290611
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发表时间：
2019-01
期刊：
影响因子：
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通讯作者：
Shoko Wakamiya;Panote Siriaraya;Yihong Zhang;Yukiko Kawai;E. Aramaki;A. Jatowt
中科院分区：
文献类型：
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作者：
Shoko Wakamiya;Panote Siriaraya;Yihong Zhang;Yukiko Kawai;E. Aramaki;A. Jatowt
对于希望在陌生城市漫步的游客来说，不仅要推荐最短的路线，还要推荐令人愉快的路线，这是很有用的。本文介绍了一个提供愉快路线推荐的系统。目前，我们专注于绿色和明亮景观较多的路线。该系统通过在谷歌街景全景图像中提取颜色或对象来测量快乐分数，并按照计算出的快乐分数的顺序对最短路径进行重新排序。目前的原型为东京、京都和旧金山的城市地区提供路线建议。
For a tourist who wishes to stroll in an unknown city, it is useful to have a recommendation of not just the shortest routes but also routes that are pleasant. This paper demonstrates a system that provides pleasant route recommendation. Currently, we focus on routes that have much green and bright views. The system measures pleasure scores by extracting colors or objects in Google Street View panorama images and re-ranks shortest paths in the order of the computed pleasure scores. The current prototype provides route recommendation for city areas in Tokyo, Kyoto and San Francisco.