Clothes Recommendation System based on Style Recognition
Date Issued
2016
Date
2016
Author(s)
Chao, Sz-Han
Abstract
Many people have trouble selecting clothes in the everyday morning. They often cost much time to choose the clothes. In order to help them easier choose clothes, we proposed a clothes recommendation system based on the style to recommend the suitable clothes for them. In our system, we define the style of clothes as the emotion. It means the feeling when people look at the clothes or look at a person wearing clothes. Thus, we use the dimension emotion model to design the style space. In addition to low-level features, the clothing attributes are used as the mid-level features. Then we train style score functions by the standard support vector regression to recognize the styles of clothes. Besides, the style color theme is used to assess the color matching of clothes. Because there is not suitable dataset for our system, we construct two new datasets with style labels by our style space. The experiments and user study show that the clothes recommended by our system almost match the style (emotion) in common sense.
Subjects
clothes recommendation
style recognition
clothing attribute
color theme
dimension emotion model
Type
thesis
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