Using the Convolution Neural Network Attempts to Match Japanese Women’s Kimono and Obi
Using the Convolution Neural Network Attempts to Match Japanese Women’s Kimono and Obi
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DOI：
10.14569/ijacsa.2020.0110108
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发表时间：
2020
影响因子：
0.9
通讯作者：
K. Komizo;N. Kuwahara
中科院分区：
文献类型：
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作者：
K. Komizo;N. Kuwahara
目前，日本和服使用率下降严重。这已经成为和服产业和和服文化的重要问题。这种不常用的原因是日本服装有许多严格的规定。其中一个困难的规定是和服有地位，人们必须根据场合和活动类型考虑合适的和服。同时，腰带（腰带）也有地位，和服和腰带的地位必须匹配。和服和腰带的搭配在日语中被称为“obiawase”，这不仅仅是穿着和服的人选择一双她喜欢的。相反，你穿和服的第一个地方决定了它的地位，腰带必须与和服相匹配。也就是说，图案背后的颜色、材质、寓意都必须与奥比相匹配。和服图案可能会让人联想到季节或庆祝活动。所有这些都必须加以考虑。和服原本是日常穿着的，人们在家里被教导这些东西，但随着今天越来越多的核心家庭，可以教这些东西的人不在附近，这增加了和服的使用率。正因为如此，人们对使用数字时尚行业的CNN（卷积神经网络）很感兴趣。我们正在尝试使用机器学习来解决将obi与和服匹配的困难任务，使用CNN机器吸引了今天最多的关注。
Currently, the decline in kimono usage in Japan is serious. This has become an important problem for the kimono industry and kimono culture. The reason behind this lack of usage is that Japanese clothing has many strict rules attached to it. One of those difficult rules is that kimonos have status, and one must consider the proper kimono to wear depending on the place and type of event. At the same time, the obi (sash) also has status, and the status of the kimono and obi must match. The matching of the kimono and obi is called “obiawase” in Japanese, and it is not just a matter of the person wearing the kimono selecting a pair that she likes. Instead, the first place you wear a kimono determines its status, and the obi must match that status and kimono. In other words, the color, material, meaning behind the pattern must be matched with obi. Kimono patterns may evoke the seasons or a celebratory event. All this must be considered. The kimono was originally everyday wear, and people were taught these things in their households, but with today’s increasingly nuclear families, that person who could teach these things isn’t nearby, adding to the lack of use of kimonos. Because of this, there has been interest in using CNN (Convolution Neural Network) from the digital fashion industry. We are attempting to use machine learning to tackle the difficult task of matching an obi to a kimono, using the CNN machines drawing the most attention today.