Visual Search System for E-Commerce Clothing Identification
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Solution Overview
Problem
Existing e-commerce search systems rely on keyword-based searches, which can be cumbersome for users trying to find specific products, especially in fashion, as they require accurate descriptions of items, and lack efficiency in providing relevant results.
Innovation Solution
A visual search system that allows users to upload images of clothing items or outfits, using image recognition to identify and highlight items, and then searches a repository for similar products, providing users with visually similar items without the need for keyword input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If keyword-based search is used, then the search system can process simple queries, but it requires accurate descriptions and is cumbersome for users
Solution Approach 1:
The patent replaces the mechanical keyboard input system with an optical image-based search system. Users capture images of clothing items with their mobile devices, and the system processes these images to identify and search for similar products. This substitution eliminates the need for users to manually describe items through keywords, making the search process more intuitive and accurate while maintaining ease of operation.
2Measurement precision
If image recognition is implemented, then search accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary image processing layer between the user's image input and the product database search. The system first processes the captured image to identify clothing items, extract visual features, and generate search queries automatically. This intermediary layer handles the complexity of image recognition and feature extraction, allowing the rest of the system to operate with standard search mechanisms while maintaining high accuracy in item identification.
3Quantity of substance
If visual search is performed on multiple clothing items, then comprehensive results are provided, but processing time increases
Solution Approach 1:
The patent segments the visual search process into distinct stages: image capture, item identification, feature extraction, and result generation. By dividing the search into multiple manageable steps and processing each clothing item independently through these segments, the system can efficiently handle multiple items without overwhelming the processing capacity at any single stage, thus reducing overall processing time while maintaining comprehensive results.
Data Source
AI summary
The present disclosure involves systems, software, and computer implemented methods for visual search, discovery, and attribution in e-commerce systems. One example method includes receiving an image to be used as a basis for a visual search. At least one clothing item in the image and a determined clothing type for each clothing item are identified. A highlighted image is generated that includes highlights of the identified at least one clothing item and determined clothing types. The highlighted image is provided. A selection of a selected clothing item on the highlighted image is received. In response to receiving the selection of the selected clothing item, a visual search is performed that includes searching a clothing item repository to find similar clothing items that are visually similar to the selected clothing item. Information for the similar clothing items is provided in response to the selection of the selected clothing item.