Display Image Area Mapping Across Changing Aspect Ratios
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Display devices struggle to automatically recognize and adjust to changes in aspect ratio and information areas within game content, requiring manual user intervention for zooming and sharing specific information, which disrupts the gaming experience.
Innovation Solution
The display device employs a processor to analyze image aspect ratios and location information, identify candidate areas, determine priorities, and automatically adjust to display or share specific information areas, such as sub-windows, without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user intervention is used for zooming and sharing specific information, then user control over display content is improved, but user convenience and gaming experience are worsened due to disruptions
Solution Approach 1:
The display device automatically identifies information areas and determines candidate areas for zooming and sharing without requiring user intervention. The system serves itself by autonomously analyzing game content, recognizing information areas based on aspect ratios and location data, and performing display operations automatically, thereby eliminating manual control requirements while maintaining ease of use
Solution Approach 2:
The system changes parameters such as aspect ratio recognition and location information analysis to automatically adapt to different game content. By monitoring and responding to parameter changes in the displayed content, the system dynamically adjusts zoom and sharing operations without user input, resolving the contradiction between automation and user control
2Extent of automation
If automatic recognition of information areas is implemented, then user convenience is improved, but device complexity increases due to image analysis requirements
Solution Approach 1:
The image analysis process is segmented into distinct functional modules: aspect ratio detection, location information extraction, information area identification, and candidate area determination. By dividing the complex image analysis task into separate processing stages, the system achieves automatic recognition while managing device complexity through modular architecture
Solution Approach 2:
The system performs preliminary analysis of aspect ratios and location information before full image processing is required. By pre-processing and storing key parameters such as aspect ratio data and location coordinates, the system reduces the computational complexity of subsequent automatic recognition operations
3Adaptability or versatility
If the display device adapts to different aspect ratios, then adaptability is improved, but measurement precision of information area location may be worsened due to transformation calculations
Solution Approach 1:
The system uses feedback mechanisms to continuously monitor and adjust location information accuracy during aspect ratio transformations. By comparing expected location data with actual detected positions and making real-time corrections, the system maintains measurement precision while adapting to different aspect ratios
Solution Approach 2:
The system performs preliminary calculations and stores transformation parameters for different aspect ratios before actual image processing occurs. By pre-computing location mappings and storing reference data, the system minimizes calculation errors during real-time adaptation, preserving location information accuracy across various aspect ratios
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A display device including: a display; a memory storing one or more instructions; and at least one processor configured to execute the one or more instructions to: control the display to display a first image based on receiving the first image; output a first sub-image corresponding to a first information area of the first image; control the display to display a second image, different from the first image, based on receiving the second image; determine a plurality of candidate areas of the second image, based on a first aspect ratio of the first image, a second aspect ratio of the second image, and location information of the first information area; determine priorities of the plurality of candidate areas based on the location information of the first information area and the second aspect ratio; and identify, based on the priorities, a second information area corresponding to the first information area.