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Clothing fashion trend prediction system fusing visual and non-visual features

A trend forecasting, non-visual technology, used in forecasting, special data processing applications, image data processing, etc., can solve problems such as slow development, and achieve the effect of improving effectiveness, promoting intelligence, and alleviating insufficient data sets

Active Publication Date: 2018-12-07
DONGHUA UNIV
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AI Technical Summary

Problems solved by technology

Image automatic labeling technology has a long history, but for a long period of time in the early days of this technology, it was limited by the shortcomings of traditional image processing, and this technology has been in a slow development stage for a long time

Method used

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  • Clothing fashion trend prediction system fusing visual and non-visual features
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  • Clothing fashion trend prediction system fusing visual and non-visual features

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Embodiment Construction

[0020] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0021] Embodiments of the present invention relate to a clothing fashion trend prediction system that combines visual and non-visual features, including: 1) a clothing image data set production module, that is, clothing image data set production and image foreground extraction. Firstly, crawlers are used to obtain clothing images and their text description data provided by online magazine websites, and the text description info...

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Abstract

The invention relates to a clothing fashion trend prediction system fusing visual and non-visual features. The system comprises a clothing image data making module for making a clothing image data setand preprocessing the clothing image data, an image foreground extraction module for obtaining a foreground image, a clothing image automation labeling module for obtaining a model of a labeling system through a clothing automation labeling method based on the deep neural network, and a clothing fashion trend prediction module taking clothing image as an input of the model to obtain a label and obtaining a current fashion trend by utilizing a popularity evaluation method. Accuracy and efficiency of clothing image labeling can be effectively improved, and intelligentization of clothing fashiontrend prediction in the fashion field is promoted.

Description

technical field [0001] The invention relates to the technical field of clothing fashion trend prediction, in particular to a clothing fashion trend prediction system that integrates visual and non-visual features. Background technique [0002] Fashion is a multi-billion dollar industry with social and economic importance worldwide. Traditionally, the fashion industry has placed a high value on human creativity, with little awareness of the potential of data analysis. With the emergence of modern cognitive computing technologies, such as data mining and knowledge discovery, machine learning, deep learning, computer vision, natural language processing, etc., and the impact of large amounts of structured and unstructured data, traditional fashion concepts are being transformed. Currently popular e-commerce portals are making use of the collected big data reserves and artificial intelligence technology to enter the fashion industry. [0003] In the traditional clothing design ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06T7/194G06F17/30G06N3/08
CPCG06N3/08G06Q10/04G06T7/194
Inventor 燕彩蓉周灵杰徐淑华阿卜杜杰力力·热合麦提黄永锋李玮
Owner DONGHUA UNIV
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