Image-to-Icon Feature Linking for Automated Data Categorization
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Solution Overview
Problem
Existing image sorting systems require manual user input for setting sorting criteria, increasing user burden.
Innovation Solution
An information processing system that automatically links image features to icon images for categorization, allowing users to reduce manual input by generating and linking form feature information to icon images, using methods like drag-and-drop operations and machine learning to determine categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual user input is used for setting sorting criteria, then sorting accuracy can be controlled, but user burden increases
Solution Approach 1:
The system automatically extracts features from images and performs categorization without requiring manual user input for setting sorting criteria. The image processing unit autonomously analyzes image content and the category determination unit automatically assigns categories, making the system self-sufficient and eliminating the need for user intervention in criterion setting.
Solution Approach 2:
The patent replaces the mechanical process of manual criterion setting with an automated image processing system. The manual operation of users setting sorting criteria is substituted by machine-based feature extraction and automatic category determination, reducing user burden while maintaining sorting accuracy through algorithmic analysis.
2Ease of operation
If automated feature recognition is used, then user burden is reduced, but system complexity increases
Solution Approach 1:
The system is divided into distinct functional units: an image processing unit for feature extraction and a category determination unit for classification. This segmentation allows the complex automated recognition task to be broken down into manageable modules, each handling a specific aspect of the processing, thereby reducing overall system complexity while maintaining automation benefits.
Data Source
AI summary
An information processing system includes a processor configured to, in response to reception of operation performed by an operator to link an image to an icon image for image categorization, link a feature of the image subjected to the operation to the icon image.