Non-Proportional Document Resizing for Readable Context Preservation
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Solution Overview
Problem
Existing methods for displaying digitized documents on smaller screens proportionally reduce all elements, leading to unreadable content and loss of context, as they fail to differentiate between high-value and low-value information.
Innovation Solution
A non-proportional zoom method that linearly resizes graphic elements and adjusts font sizes based on a hierarchy of process levels, prioritizing high-value information while maintaining the overall structure and form of the document, allowing for readable high-value components even when zoomed out.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If proportional reduction of all document elements is applied to fit a smaller display screen, then the entire document can be displayed, but the readability of content and preservation of context are lost
Solution Approach 1:
The patent applies different scaling factors to different elements within the document based on their hierarchical importance. High-value elements (main headings, key diagrams) are scaled with larger factors to maintain readability, while low-value elements (footnotes,次要 text) are scaled with smaller factors. This local differentiation resolves the contradiction by allowing the entire document to fit the screen while preserving readability of important content.
Solution Approach 2:
The document is segmented into multiple hierarchical levels (first level, second level, third level elements) with distinct scaling treatments. Each level receives appropriate scaling to balance overall document fit with local readability requirements, preventing information loss while maximizing display area utilization.
2Loss of information
If manual adjustment of each diagram's scale is performed to maintain readability, then high-value information remains legible, but the process becomes time-consuming and complex
Solution Approach 1:
The system performs preliminary automated classification of document elements into hierarchical levels based on their importance and type. This pre-processing assigns scaling factors to each element category, eliminating the need for manual adjustment of individual diagrams while maintaining readability of high-value content.
Solution Approach 2:
The system automatically determines the appropriate scale for each element based on its hierarchical classification, making the scaling process self-service rather than requiring manual intervention. The algorithm independently adjusts scales to optimize both readability and document fit.
3Stability of the object's composition
If proportional scaling is applied to all elements, then the overall document structure is maintained, but high-value information becomes difficult to read and understand
Solution Approach 1:
Different elements within the document structure receive different scaling treatments based on their hierarchical level and importance. High-value elements are scaled more aggressively to maintain readability, while the overall document layout and relative positioning are preserved through coordinated scaling of all elements.
Solution Approach 2:
The system changes the scaling parameter (scale factor) based on the hierarchical level of each element. First level elements use one scaling factor, second level elements use another, and third level elements use a third factor, allowing differential treatment that maintains both structure and readability.
Data Source
AI summary
A method for displaying digitized documents in a non-proportional manner that retains the overall context while emphasizing high value information is provided. The method includes determining useful increment for scaling objects of digital content as a function of their value and their prominence and proximity to other objects. The font size of high-value text elements for containers may be increased and the container themselves may be vertically scaled and shifted in a non-proportional manner.