Image-Based Clothing Collocation Using Deep Learning Style Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current search engines face challenges in providing accurate clothing collocation recommendations due to the difficulty in expressing style information in words, leading to lower user search efficiency and poorer experience, as they struggle to precisely determine user clothing collocation needs and provide customized recommendations.
Innovation Solution
A clothing collocation method that involves acquiring an image of the first piece of clothing, determining pre-marked clothing category information of second pieces from a collocation image library, and selecting matched clothing collocation images using deep learning-based similarity calculations to provide customized recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If search engines use text-based forms (articles and videos) to satisfy clothing collocation needs, then information can be provided to users, but the ability to precisely determine user needs and provide customized recommendations deteriorates due to difficulty in expressing style information in words
Solution Approach 1:
The patent replaces text-based information retrieval with image-based deep learning recognition. Instead of using textual descriptions to convey style information, the system uses neural network models to automatically recognize and analyze clothing images, extracting style features directly from visual data. This substitution of mechanical text processing with intelligent image recognition resolves the contradiction by enabling precise style information expression and accurate user need determination simultaneously.
Solution Approach 2:
The patent changes the fundamental parameter of information representation from text to images. By transforming the mode of information expression from linguistic descriptions to visual images and utilizing deep learning algorithms to process these images, the system achieves both complete style information retention and precise user need determination. The parameter change from text-based to image-based processing enables the system to overcome the limitations of textual style expression.
2Adaptability or versatility
If a large number of clothing collocation needs are handled through text-based search results, then various collocation options can be provided, but user search efficiency and experience deteriorate due to inability to provide customized recommendations
Solution Approach 1:
The patent implements self-service by enabling the system to automatically analyze user-uploaded clothing images, extract style features, and generate personalized collocation recommendations without requiring users to manually search through text-based articles or videos. The deep learning model autonomously performs style recognition and recommendation generation, significantly improving search efficiency while maintaining high adaptability to individual user needs.
Solution Approach 2:
The system incorporates feedback mechanisms where user interactions with recommended collocations are analyzed to continuously improve recommendation accuracy. The deep learning model learns from user preferences and behavior patterns, adjusting its recommendations to better match individual user tastes. This feedback loop enables both high customization adaptability and improved search efficiency over time.
Data Source
AI summary
A method includes: acquiring an image of first piece of clothing to be collocated; determining information of one or more second piece of clothing for collocation with the first piece of clothing; determining clothing collocation images containing the information of the one or more second piece of clothing in the collocation image library; and selecting clothing collocation images matched with the image of the first piece of clothing from the determined clothing collocation images. The information of the one or more second piece of clothing is pre-marked clothing category information of clothing collocation images in a collocation image library.