Graphical Resource Management Mind Map Structure
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Solution Overview
Problem
Current computer applications manage graphical resources in a simplistic manner, making it difficult for users to visualize and efficiently organize static and dynamic resources, and lack advanced annotation and classification capabilities.
Innovation Solution
A system and method for graphical resources management that imports and captures graphical resources to generate items, allows editing and correlation of attributes, and generates a graphical data structure to demonstrate relationships between items, facilitating structured management and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If graphical resources are managed in a simplistic list format sorted by attributes, then the system complexity is low, but the user efficiency and visualization capability deteriorate
Solution Approach 1:
The patent transforms the traditional one-dimensional list view into a two-dimensional graphical data structure (mind map) where resources are organized hierarchically with central nodes and branching sub-nodes. This dimensional change enables visual spatial relationships and improves user efficiency in navigating and visualizing graphical resources without requiring complex manual sorting operations.
Solution Approach 2:
The system provides multiple viewing modes that can switch between simple list format and complex graphical data structure format. This multi-functionality allows the system to adapt to different user needs: using the simple list view for basic operations and the graphical mind map view for visualization and analysis, thereby improving productivity without permanently increasing system complexity.
2Adaptability or versatility
If only simple annotation of imported images is allowed, then the ease of operation is high, but the functionality and adaptability deteriorate
Solution Approach 1:
The patent segments the annotation functionality into multiple hierarchical levels: basic annotations (simple text labels), advanced annotations (detailed descriptions, tags, categories), and structural annotations (organizing resources into mind map nodes with hierarchical relationships). This segmentation allows users to apply only the level of annotation complexity they need for each task, maintaining ease of operation for simple tasks while providing enhanced functionality when required.
3Loss of time
If graphical resources are not processed and classified in detail, then the processing time is short, but the information organization and retrieval efficiency deteriorate
Solution Approach 1:
The system performs preliminary classification and organization of graphical resources during the import process by automatically generating mind map structures with hierarchical node relationships. Resources are pre-tagged with metadata, categories, and associations before user interaction, so that when users need to retrieve or analyze information, the work is already done, reducing both processing time and information loss simultaneously.
Data Source
AI summary
A system and a method for graphical resources management, and a computer program product with an application for graphical resources management are provided, which may capture groups of pixels from imported graphical resources to generate a plurality of graphical items, edit relationships between the graphical items, and generate a graphical data structure that demonstrates the relationships between the graphical items. The invention allows a user to logically manage graphical resources in a structured manner, and thus enables efficient management of graphical resources.