Dynamic Zoom Based on Media Profile Analysis
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Solution Overview
Problem
Existing zoom technologies in electronic devices use fixed zoom percentages, which often fail to provide the desired view of displayed media, requiring users to make further adjustments.
Innovation Solution
An apparatus and method that detect a zoom event on a touch screen, determine a media profile, and calculate a dynamic zoom percentage based on the event and profile to resize the displayed media, ensuring the relevant information is presented without clipping or distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed zoom percentage is used, then the zoom operation is simple and fast, but the displayed media may not provide the desired view and requires additional user adjustments
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed zoom percentage to a dynamic zoom percentage that adapts based on media characteristics. The system analyzes media profiles (such as image resolution, content type, and important regions) and automatically adjusts the zoom level accordingly, making the zoom operation both simple and context-aware without requiring user intervention.
Solution Approach 2:
The patent changes the parameter of zoom percentage from a static fixed value to a dynamic value determined by media analysis. By evaluating media profiles and adjusting the zoom percentage based on detected features and content importance, the system optimizes the zoom level automatically, resolving the contradiction between operational simplicity and view quality.
2Loss of time
If a dynamic zoom percentage based on media profile is calculated, then the desired view is provided without additional adjustments, but the processing complexity increases
Solution Approach 1:
The patent applies preliminary action by analyzing the media profile and determining the optimal zoom percentage before the actual zoom operation. The system pre-processes the media to identify important regions, content types, and resolution characteristics, then uses this information to calculate the appropriate zoom level in advance, eliminating the need for post-zoom adjustments.
Solution Approach 2:
The system performs self-service by automatically analyzing media profiles and determining optimal zoom percentages without user intervention. The media itself provides the information needed (through profile analysis) to determine how it should be zoomed, making the system self-optimizing and reducing both user time and processing complexity.
3Measurement precision
If the zoom percentage is increased to provide a closer view, then detail visibility improves, but the risk of clipping or distortion increases
Solution Approach 1:
The patent applies local quality by analyzing different regions of the media and applying appropriate zoom levels to different areas. The system identifies important regions (such as faces, text, or key objects) and ensures they are zoomed appropriately without clipping, while less important areas may be zoomed differently. This localized approach maintains detail visibility while preventing distortion.
Solution Approach 2:
The system uses feedback by continuously evaluating the media profile and adjusting the zoom percentage to maintain optimal viewing conditions. The media characteristics provide feedback on the appropriate zoom level, and the system adjusts accordingly to maximize detail visibility while preventing clipping and distortion through iterative optimization.
Data Source
AI summary
For dynamic zoom based on media, a processor detects a zoom event. The zoom event includes a tap on a touch screen. The zoom event is located at a displayed media and includes a zoom location. The processor further determines a media profile for the zoom event. The processor calculates a zoom percentage based on the zoom event and the media profile. The processor further presents the displayed media resized by the zoom percentage on the touch screen.