Research on ancient town style construction strategies based on coupled quantitative analysis of AI visual recognition and scenic beauty evaluation

Abstract

How to create the scenery is the key issue in ancient towns. In this study, 50 photos were collected and distributed through the Internet. First, 456 online questionnaires with 25,080 data were got. Respondents' favoritism was affected by gender, age, region, profession, and education. Second, SAM computer model was applied to image recognition of Wuzhen style photos, analyzing their visual elements. Third, SPSS software was used to analyze the correlation between subjective beauty degree score and objective landscape elements. Based on the coupled quantitative analysis of AI visual recognition and beauty degree score, it is found that the landscape elements that tourists cared most about are: water bodies, ancient buildings and boats. The proportions of the best landscape elements for the spatial sense of the ancient town are the sky ranged from 26.4% to 38.2%, water body ranged from 19.7% to 34.3%, and buildings ranged from 10.4% to 38.2%. This study reveals the pattern of different types of tourists' evaluation of the landscape to summarize the landscape construction strategy of ancient towns in Jiangnan accordingly. The results are not only benefit to the cultural tourism of Wuzhen, but can also be applied to many ancient towns in Jiangnan.

Keywords

Al computer vision / Segment Anything Model / Scenic Beauty Estimation / Landscape construction strategies / Wuzhen

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