Dynamic Zoom Adjustment for Small Display Readability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current image viewing systems on small display media, such as handheld devices, require multiple user interactions and suffer from time lags and cost disadvantages due to preset zoom levels that are often incorrect for reading specific document sections, leading to user dissatisfaction.
Innovation Solution
A method for dynamically adjusting the zoom level based on local document content analysis, using raster data to identify sections and associate appropriate zoom factors, allowing for automatic selection and rendering of images that optimize readability on small displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If preset zoom levels are used for viewing documents on small displays, then device complexity is reduced, but readability and user satisfaction deteriorate due to incorrect zoom levels requiring multiple user interactions
Solution Approach 1:
The system performs automatic zoom level selection based on image analysis of the selected region, eliminating the need for users to manually adjust zoom levels. The system serves itself by analyzing the selected image area and autonomously determining the appropriate zoom factor, thereby resolving the contradiction between simple device operation and effective readability control.
2Adaptability or versatility
If multiple user interactions are required to achieve correct zoom level, then adaptability improves, but loss of time increases due to transmission delays and multiple server requests
Solution Approach 1:
The system pre-calculates and stores multiple zoom levels for different regions of the document during the initial image analysis phase. When a user selects a region, the appropriate pre-computed zoom level is immediately applied without requiring multiple iterative requests to the server, thus reducing time lag while maintaining adaptability.
3Device complexity
If fixed zoom levels are implemented, then device complexity is reduced, but productivity deteriorates due to multiple transmissions required for zoom changes
Solution Approach 1:
The system implements dynamic zoom level selection that automatically adjusts the zoom factor based on the analyzed characteristics of the selected image region. This dynamic approach allows the system to optimize document viewing efficiency by selecting the most appropriate zoom level in a single operation, eliminating the need for multiple transmissions while maintaining simple device operation.
Data Source
AI summary
A system and method for dynamic zoom adjustment based, in part, upon: the raster data in the user selected local area is disclosed; and/or the knowledge of a prevailing font size in a user selected region such that the text in that region is enlarged to be just readable. To achieve this, the detail in the local area is examined and a zoom factor is calculated that depends on the image detail and/or the viewing screen resolution. A document server may be employed to develop the information needed to enable this functionality. In one embodiment, the information is developed by RIPping the document, and then storing a spatial map of localized details (e.g., font sizes at several display resolutions) to automatically adjust a zoom level or factor and thereby facilitate navigation and reading.


