论文标题
猫街：东京街头时尚的编年史档案馆
CAT STREET: Chronicle Archive of Tokyo Street-fashion
论文作者
论文摘要
对日常生活趋势的分析可以为我们提供对社会和文化的深刻理解。但是，没有适当的数字存档，其中包括说明人们长时间在日常生活中穿的衣服的图像。在这项研究中，我们提出了一个新的时尚形象档案，《东京街头时尚》（CAT街）的编年史档案，以阐明日常生活时尚趋势。猫街（Cat Street）包括显示人们在1970 - 2017年期间日常生活中穿的衣服的图像，这些图像包含时间戳和街道位置注释。这个新颖的数据库与机器学习相结合，使我们能够长期观察日常生活的时尚趋势并进行定量分析。为了通过新的数据库评估我们提出的方法的潜力，我们证实了两种时尚趋势现象的大多数规则，这些现象已在先前的研究中被定性地观察到并讨论。通过这些经验分析，我们验证了我们量化时尚趋势的方法可以帮助探索未解决的研究问题。我们还展示了Cat Street通过嵌入消费者日常生活中的时尚来促进对社会和文化的理解的新观点的潜力。
The analysis of daily-life fashion trends can provide us a profound understanding of our societies and cultures. However, no appropriate digital archive exists that includes images illustrating what people wore in their daily lives over an extended period. In this study, we propose a new fashion image archive, Chronicle Archive of Tokyo Street-fashion (CAT STREET), to shed light on daily-life fashion trends. CAT STREET includes images showing what people wore in their daily lives during 1970--2017, and these images contain timestamps and street location annotations. This novel database combined with machine learning enables us to observe daily-life fashion trends over a long term and analyze them quantitatively. To evaluate the potential of our proposed approach with the novel database, we corroborated the rules-of-thumb of two fashion trend phenomena that have been observed and discussed qualitatively in previous studies. Through these empirical analyses, we verified that our approach to quantify fashion trends can help in exploring unsolved research questions. We also demonstrate CAT STREET's potential to find new standpoints to promote the understanding of societies and cultures through fashion embedded in consumers' daily lives.
