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Aesthetic Capital: What Makes London Look Beautiful, Quiet, and Happy?

机译:审美资本:是什么让伦敦看起来美丽,安静,快乐?

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In the 1960s, Lynch's "The Image of the City" explored what impression US city neighborhoods left on its inhabitants. The scale of urban perception studies until recently was considerably constrained by the limited number of study participants. We here present a crowdsourcing project that aims to investigate, at scale, which visual aspects of London neighborhoods make them appear beautiful, quiet, and/or happy. We collect votes from over 3.3K individuals and translate them into quantitative measures of urban perception. In so doing, we quantify each neighborhood's aesthetic capital. By then using state-of-the-art image processing techniques, we determine visual cues that may cause a street to be perceived as being beautiful, quiet, or happy. We identify effects of color, texture and visual words. For example, the amount of greenery is the most positively associated visual cue with each of three qualities; by contrast, broad streets, fortress-like buildings, and council houses tend to be associated with the opposite qualities (ugly, noisy, and unhappy).
机译:在20世纪60年代,Lynch的“城市的形象”探讨了美国居民留在居民的印象。城市认知研究的规模,直到最近受到限制的研究参与者有限的约束。我们在这里提出了一项众所周境,旨在以规模调查伦敦社区的视觉方面使它们看起来美丽,安静和/或快乐。我们从超过3.3K个人中收集投票,​​并将其转化为城市认知的定量措施。在这样做时,我们量化了每个社区的审美资本。通过使用最先进的图像处理技术,我们确定可能导致街道被认为是美丽,安静或快乐的视觉提示。我们识别颜色,纹理和视觉词的效果。例如,绿化的量是具有三种品质中的每一个的最正常相关的视觉提示;相比之下,广阔的街道,堡垒,堡垒和议会房屋往往与相反的品质(丑陋,嘈杂,不满意)有关。

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