Image Display Area Adjustment Around Target Objects
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Solution Overview
Problem
Existing electronic devices struggle to dynamically adjust the display area for images based on user interaction with specific objects within the image, limiting user engagement and functionality.
Innovation Solution
The electronic device identifies a target region or object within an image and adjusts the display area based on user input, allowing the image to be resized or repositioned based on the target region's position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the image area is fixed to display the whole image, then the complete image is visible, but the user cannot focus on specific objects within the image
Solution Approach 1:
The image area is segmented into a first image area for displaying the whole image and a second image area for displaying a cropped portion. This segmentation allows users to view both the complete image context and specific objects of interest simultaneously by dividing the display into multiple functional regions.
Solution Approach 2:
The patent introduces a spatial dimension by creating an overlay where the second image area (cropped view) is positioned on top of or adjacent to the first image area (whole image view). This dimensional arrangement allows users to access both full-context and detailed views without losing either perspective.
2Ease of operation
If the image area is reduced to focus on a target object, then user interaction with the target object is improved, but the overall image context is lost
Solution Approach 1:
The display is segmented into multiple image areas where the first image area preserves the whole image context while the second image area provides a cropped, focused view of the target object. This segmentation resolves the contradiction by maintaining both full context and detailed focus simultaneously in separate but related display regions.
3Adaptability or versatility
If the display area is dynamically adjusted based on user input, then user engagement is enhanced, but the system complexity increases
Solution Approach 1:
The system implements feedback by detecting user input (such as touch or gesture on a specific object) and automatically adjusting the display to show a cropped view of that object. This feedback mechanism enables dynamic adaptability while keeping the control logic relatively simple - the system responds to user actions by programmatically cropping and redisplaying the relevant portion.
Solution Approach 2:
The system performs self-service by automatically identifying and cropping the target object based on user input without requiring manual configuration or complex external control. The electronic device autonomously adjusts the second image area to focus on the user-selected object, reducing the need for complicated user setup procedures.
Data Source
AI summary
An electronic device is provided that includes a display, a processor, and memory storing instructions. The instructions, when executed by the processor, may cause the electronic device to display a first image in a first image area of an execution screen of a first application on the display. The instructions, when executed by the processor, may cause the electronic device to identify a target region in the first image. The target region includes a target object in the first image. The instructions, when executed by the processor, may cause the electronic device to identify a first user input while the first image is displayed. The instructions, when executed by the processor, may cause the electronic device to change, based on the first user input, an image area for displaying an image, from the first image area in which the first image is displayed to a second image area which is smaller than the first image area. The instructions, when executed by the processor, may cause the electronic device to, in response to the image area changing from the first image area to the second image area, control display of the first image in the second image area based on a position of the target region in the first image.