Automated Figure-Text Reference Linking for Content Analysis
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Solution Overview
Problem
Conventional methods for content analysis in figures are time-consuming, expensive, and error-prone, as users must manually search through lengthy textual descriptions to understand the elements depicted in the figures.
Innovation Solution
A computer-implemented method that identifies references in figures and corresponding identifiers in text, visually associating the identifiers with the references on the figure, allowing for easier content analysis without the need for extensive textual searching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual content analysis is performed by reading through textual descriptions, then users can understand the elements depicted in figures, but the process becomes time-consuming and error-prone
Solution Approach 1:
The patent introduces an intermediary system that automatically links references in figures to their textual descriptions. The system creates a bridge between the visual elements and their textual counterparts through automated identification and association mechanisms, eliminating the need for manual searching while maintaining accuracy
Solution Approach 2:
The patent replaces the manual mechanical process of reading and searching through textual descriptions with an automated computational system. The system uses image processing, pattern recognition, and data association algorithms to automatically identify references and link them to their descriptions, substituting human cognitive labor with automated mechanical processes
2Productivity
If users manually search through lengthy textual descriptions to understand figure elements, then they can identify all references, but the process becomes expensive and time-consuming
Solution Approach 1:
The system performs self-service by automatically identifying and linking references without requiring user intervention. The automated system independently processes figures and textual descriptions, creating associations between references and their descriptions through built-in algorithms, thereby improving productivity without requiring complex user operations
Solution Approach 2:
The patent implements preliminary action by pre-processing figures and textual descriptions to identify and extract reference information before the actual content analysis. The system automatically tags and organizes reference data in advance, so that when analysis is needed, the information is already structured and ready for quick retrieval and association
Data Source
AI summary
Some embodiments are directed to systems, devices and methods operative for identifying a reference within a figure and an identifier in a text associated with the figure, the reference referring to an element depicted in the figure, the reference corresponding to the identifier, the identifier identifying the element in the text, placing the identifier on the figure at a distance from the reference, the identifier visually associated with the reference upon the placing, the placing of the identifier on the figure is irrespective of the distance between the identifier and the reference.