基于颜色和物体率的愉快路线建议

Shoko Wakamiya, Panote Siriaraya, Yihong Zhang, Yukiko Kawai, E. Aramaki, A. Jatowt
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引用次数: 13

摘要

对于想在一个陌生的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。本文演示了一个提供愉快路线推荐的系统。目前,我们关注的是有很多绿色和明亮景观的路线。该系统通过从谷歌街景全景图像中提取颜色或物体来测量快乐分数,并根据计算的快乐分数重新排列最短路径。目前的原型为东京、京都和旧金山等城市提供路线推荐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pleasant Route Suggestion based on Color and Object Rates
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.
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