Automated Image Search System Using Text and Visual Feature Matching
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Solution Overview
Problem
Conventional picture searching methods on the internet are inefficient and costly, requiring manual searches and comparisons, which become labor-intensive when dealing with multiple images.
Innovation Solution
A method and apparatus that analyze a target picture to extract text and image characteristics, matching them with preset pictures to determine similarity, thereby automating the search process and reducing labor costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual search and comparison methods are used, then search accuracy can be maintained, but search efficiency and productivity are low
Solution Approach 1:
The patent replaces manual mechanical search operations with automated computer-based image analysis and matching systems. The system automatically extracts features from images, compares them against databases, and identifies similar images without human intervention, thereby dramatically improving search efficiency and reducing time loss.
Solution Approach 2:
The system enables self-service searching where users can upload images and automatically receive search results without requiring manual comparison work. The automated feature extraction and matching processes perform the search task independently, eliminating the need for human operators to manually examine and compare images.
2Productivity
If automated image analysis is implemented, then search efficiency improves, but system complexity increases
Solution Approach 1:
The patent segments the image search system into distinct functional modules: feature extraction module, database storage module, and image matching module. Each module performs a specific function independently, making the complex system more manageable and easier to implement while maintaining high search efficiency.
Solution Approach 2:
The system employs universal image feature extraction techniques that can handle multiple types of images (logos, product images, etc.) through a single unified approach. The feature extraction and matching mechanisms are designed to be multi-functional, reducing system complexity by avoiding the need for separate specialized systems for different image types.
Data Source
AI summary
The present disclosure discloses a searching method and apparatus. A specific embodiment of the searching method comprises: receiving a search request sent by a client, the search request including a target picture; analyzing the target picture to extract text information and an image characteristic; matching the text information with text information of each preset picture in a preset picture set to determine a first similarity, matching the image characteristic with an image characteristic of the preset picture in response to the first similarity greater than a first preset threshold, and determining whether the preset picture is determined as an identical picture based on matching results; and acquiring associated information of the identical picture, sending the identical picture and the associated information as a search result to the client to be displayed on the client. The present embodiment improves the search efficiency and reduces the labor cost of the search.