Image Orientation Control for Front and Rear Camera Consistency
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Solution Overview
Problem
Electronic devices face challenges in consistently managing the mirrored or non-mirrored state of images captured with front-facing and rear-facing cameras, leading to inconsistencies in how images are displayed and saved.
Innovation Solution
An apparatus and method that provide a user interface for identifying the mirrored or non-mirrored state of images and allow modifications based on user settings, metadata, or predefined criteria, enabling horizontal flipping or rotation to align images consistently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If images are automatically modified based on camera type or metadata, then image orientation consistency is improved, but user control and customization are worsened
Solution Approach 1:
The system dynamically adjusts image orientation based on detected criteria (camera type, metadata, user settings) while allowing users to override automatic decisions. The modification process is flexible and can be enabled or disabled based on user preferences, combining automated consistency with user control.
Solution Approach 2:
The system provides feedback to users about why an image was modified (e.g., 'This image was automatically flipped because it was captured with the front-facing camera') and allows users to adjust settings or preferences based on this feedback, maintaining both automation and user control.
2Stability of the object's composition
If images are modified based on multiple criteria (user settings, metadata, preferences), then image orientation consistency is improved, but system complexity is worsened
Solution Approach 1:
The system segments the image modification process into distinct criteria and rules (camera type detection, metadata analysis, user setting application). Each criterion can be evaluated independently, and the system processes them in a structured sequence, making the complex multi-criteria system manageable and maintainable.
Solution Approach 2:
The system changes parameters such as image orientation, flip direction, and rotation angles based on detected criteria. By parameterizing the modification process, the system can handle multiple criteria through standardized parameter adjustments rather than complex custom processing for each scenario.
3Stability of the object's composition
If automatic modification is applied to all images, then image orientation consistency is improved, but user customization and preference control are worsened
Solution Approach 1:
The automatic modification feature is dynamic and can be activated or deactivated based on user preferences. The system adapts its behavior according to user settings, allowing consistent automated processing when desired and manual control when needed, thus maintaining both consistency and customization capabilities.
Solution Approach 2:
The system applies different modification strategies to different images based on their specific characteristics (camera type, metadata, user associations). Not all images are treated uniformly; the system identifies local qualities in each image and applies appropriate modifications, allowing customization at the individual image level while maintaining overall consistency.
Data Source
AI summary
An apparatus, method and computer program is described comprising: providing a gallery or user interface comprising a plurality of images; identifying either a mirrored or non-mirrored state associated with at least one of the images; determining, based on at least one criterion, that at least part of the at least one image is to be modified from its associated mirrored or non-mirrored state to the opposite state; and based on the determination, performing the modification.