Preview Data Generation Using Touch Input Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic devices lack an efficient method to generate preview data based on user inputs, such as touch events, which limits the ability to selectively extract and display relevant image areas from captured images or videos.
Innovation Solution
An electronic device with a processor that acquires image data, detects user inputs, and generates preview data by identifying areas corresponding to specific conditions like touch inputs, layer generation, or focus areas, allowing for the extraction and display of predetermined image regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entire preview image is displayed to show all captured content, then complete information is provided, but the user cannot easily focus on specific areas of interest
Solution Approach 1:
The preview image is segmented into multiple selectable regions (first area, second area, third area) that can be independently chosen for capture. This allows the user to focus on specific areas of interest while maintaining access to the complete preview image for context.
Solution Approach 2:
Different regions of the preview image are assigned different functional qualities - some areas are designated as selectable regions for capture while others serve as context areas. This local differentiation enables focused capture without losing overall context.
2Measurement precision
If multiple touch inputs are required to select preview areas, then precise control is achieved, but the operation becomes complex and time-consuming
Solution Approach 1:
The system dynamically responds to different touch input patterns (single touch, double touch, long press) to provide different selection modes. This dynamic behavior allows precise control through simple, intuitive gestures rather than complex multi-step procedures.
Solution Approach 2:
The system automatically determines the user's intent based on touch input characteristics and automatically selects appropriate preview areas or adjusts capture parameters, reducing the need for explicit multi-step user instructions.
3Measurement precision
If the preview image area is reduced to show more detail, then detail visibility is improved, but less of the overall scene is visible
Solution Approach 1:
The interface implements a nested view structure where a larger preview image contains multiple selectable regions. Users can select a specific region for detailed capture while the overall preview image remains visible as a contextual framework, enabling both detail and context to coexist.
Data Source
Figure 1A
Figure 1B
Figure 2
AI summary
An electronic device comprising: a display configured to output image data; and at least one processor configured to: detect an input; select a portion of the image data based on the input; and generate a preview of the image data based on the selected portion.