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Visual Complexity Analysis Using Taxonomic Diagrams of Figures and Backgrounds in Japanese Residential Streetscapes

机译：使用日本人住宅街景中的人物和背景分类图进行视觉复杂性分析

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This study was conducted with the objective of finding the perceivable effect of figures and backgrounds on residential streetscapes and their connections in visual complexity. The visual complexity depends on the extent of information a viewer can observe from a visible area. The information includes a number of visual elements along the streetscapes and their diversity and interconnections. The aim of this research was to analyze the structural hierarchical visual complexity of the streetscapes, caused by varied spatial arrangement and numerous spatial connections of the perceivable visual elements. The visual elements of 60 residential streetscapes were classified into figures and backgrounds using human perception of 20 subjects. The identified figures and backgrounds were arranged in a taxonomic diagram representing their connections. These taxonomic diagrams reflect the structural hierarchical visual complexity. Finally, taxonomic entropy was applied to statistically analyze the structural hierarchical visual complexity. When the taxonomic diagram is vertically and horizontally lengthy and the arrangement of the elements of taxonomic diagram is irregular, the complexity increases depicting a large number of figures whose spatial connections impart a high visual complexity to the streetscapes.
机译：进行这项研究的目的是发现人物和背景对住宅街道景观及其视觉复杂性的影响。视觉复杂性取决于观看者可以从可见区域观察到的信息范围。这些信息包括沿街景的许多视觉元素及其多样性和相互联系。这项研究的目的是分析街道景观的结构分层视觉复杂性，这种复杂性是由可感知视觉元素的各种空间布置和众多空间联系引起的。使用人类对20个对象的感知，将60个住宅街道景观的视觉元素分为人物和背景。所标识的图和背景以分类图的形式排列，表示它们的联系。这些分类图反映了结构层次的视觉复杂性。最后，利用分类熵对统计结构的视觉复杂性进行统计分析。当分类图在垂直和水平方向上较长，并且分类图的元素的排列不规则时，复杂性会增加，因为大量图的空间连接使街道景观具有很高的视觉复杂性。

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