An Examination for Impression Word Extraction of Clothing

Shodai Ito, Noboru Takagi, H. Masuta, T. Motoyoshi, K. Sawai
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Abstract

A questionnaire survey on clothing for the visually impaired people revealed that many women in particular have a strong desire to enjoy fashion on their own. Visually impaired can not purchase clothing without the assistance of the sighted. Based on this background, there are several studies on clothing selection support for the visually impaired, and some of them have been commercialized. However, there are only a few studies that support the visually impaired people’s clothing selection by recognizing clothing impression (casual, formal, etc.). Therefore, we design a feature extraction model by deep learning using DeepFashion, a clothing dataset, and investigate a method to extract impression words from clothing images.
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服装印象词提取的检验
一项针对视障人士服装的问卷调查显示,许多女性尤其强烈希望自己享受时尚。如果没有明眼人的帮助,视障人士无法购买衣服。在此背景下,针对视障人士的服装选择支持进行了一些研究,其中一些已经商业化。然而,只有少数研究通过识别服装印象(休闲、正式等)来支持视障人士的服装选择。因此,我们利用服装数据集DeepFashion设计了深度学习的特征提取模型,并研究了一种从服装图像中提取印象词的方法。
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