Method for mining and recommending style elements based on clothing graph group

Abstract

The invention provides a method for mining and recommending style elements based on a clothing graph group. The method includes that a user selects or inputs clothing sample images and recommendation requirements for a recommending system; the recommending system preprocesses the inputted clothing sample images, and the specified clothing graph group is built; the recommending system extracts specific features of the clothing images in the specified clothing graph group according to the recommendation requirements; the recommending system performs specific clothing visual element mining for the clothing images; and styles of the clothing images in a database are analyzed according to required and mined clothing visual elements, and various types of clothing are rated. The clothing visual elements of the clothing images are mined by the aid of a feature expression and statistic analysis method, accordingly, design styles of the clothing images are summarized, and the clothing images are retrieved and recommended according to the clothing styles. By the aid of the method, the requirement on novelty when consumers purchase clothing can be met.

Description

technical field [0001] The invention relates to a method for mining and recommending style elements based on clothing group pictures, and belongs to the technical field of clothing image recommendation and analysis methods. Background technique [0002] The role of clothing in modern life is becoming more and more important, and clothing also accounts for a large proportion of e-commerce sales. The clothing image recommendation system can help people effectively find the clothing they need. Some existing technologies only use keyword-based retrieval, which requires time-consuming and labor-intensive labeling. However, the clothing attributes selected in the content-based image retrieval technology are too simple, ignoring the important aspects of clothing attributes. Trends, and most of them are for the purpose of searching for the same or similar clothing, which cannot satisfy the novelty pursued by clothing consumers. In addition, the quantitative analysis of large-scale ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the time-consuming and labor-intensive labeling in the prior art that only uses keyword-based retrieval, while the clothing attributes selected in the content-based image retrieval technology are too simple to ignore. The important trends in clothing attributes are identified, and most of them are for the purpose of retrieving the same or similar clothing, which cannot meet the novelty problem pursued by clothing consumers, and then provide a style element mining and recommendation method based on clothing group pictures

Images