Visual Element Segmentation for Reusable Infographic Templates
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Solution Overview
Problem
Existing infographics require manual editing for updates or reuse, which is tedious and error-prone, necessitating knowledge of specific tools and hindering user convenience.
Innovation Solution
A system that analyzes and deconstructs infographics into visual element units, determines correlations between elements, and generates a reusable template by updating these units based on target information using machine learning models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If infographics are created manually with original visual elements, then the infographics can be customized and visually appealing, but updating or reusing them requires tedious manual editing and tool knowledge
Solution Approach 1:
The infographic is segmented into multiple visual element units, where each unit represents a complete information item including visual elements and corresponding data. This segmentation enables independent processing and updating of individual elements without requiring manual editing of the entire infographic, thus improving ease of operation while maintaining customization capability
Solution Approach 2:
The system generates a machine-readable description (template) that captures the structure and correlations of the original infographic. This template serves as a reusable copy that can be instantiated with different data sets, eliminating the need for manual copying and editing while preserving the original visual design
2Reliability
If infographics are created as static visual compositions, then they provide clear information display, but they lack reusability and require complete manual recreation for updates
Solution Approach 1:
The system transforms static infographics into dynamic, reusable templates by establishing machine-readable correlations between visual elements and data. The template can dynamically adapt to different data sets while maintaining consistent visual structure, enabling unlimited reuse and updates without manual recreation
Solution Approach 2:
The system separates the visual structure (template) from the data content, allowing independent modification of data parameters while preserving the visual design. This enables the same infographic template to be reused with different data sets, significantly improving adaptability and reusability
3Manufacturing precision
If manual editing operations are used for infographic updates, then precise control over visual elements is achieved, but the process is time-consuming and error-prone
Solution Approach 1:
The system performs automatic updating by matching new data with the template structure and generating updated infographics without manual intervention. The machine-readable description enables the system to self-manage the update process, maintaining visual precision while dramatically improving productivity
Solution Approach 2:
The system replaces manual mechanical editing operations with automated computational processes. The template-based approach with machine-readable correlations substitutes human editing actions with algorithmic processing, eliminating errors and time consumption while preserving visual element control
Data Source
AI summary
In accordance with the implementations of the subject matter described herein, there is provided a solution for reusing infographics. In this solution, a group of visual element units is determined from a visual element set comprised in the original infographic. A visual element unit in the group represents an information item in the original infographic. A first correlation between a visual element contained in the visual element unit and the information item and a second correlation between the visual element unit and a further visual element unit in the group are determined. A description for the original infographic is generated based on the first and second correlations. A target infographic is generated by updating the group of visual element units at least based on the description and the target information. In this way, infographics can be converted into reusable templates, thereby simplifying reuse of such infographics and improving user experience.