HDR Feature Region Selection by Display-Item Distance
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Solution Overview
Problem
Existing technologies fail to effectively select a single feature region from multiple regions in high dynamic range (HDR) images, particularly high brightness regions, without considering user preferences or operational context.
Innovation Solution
An electronic apparatus and method that utilize an acquiring unit, position acquiring unit, and control unit to select one feature region based on distances between regions and a display item, considering user operations and image center proximity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple feature regions are displayed in HDR images, then comprehensive image information is provided, but user difficulty in selecting and checking specific regions increases
Solution Approach 1:
The system automatically selects and displays feature region information based on pre-set criteria (brightness threshold, region size, distance from image center) without requiring manual user selection. The control unit autonomously processes the image data, identifies relevant regions, and presents them in the order determined by the evaluation function, thereby reducing user operational burden while maintaining comprehensive information access.
Solution Approach 2:
The invention introduces an evaluation function that dynamically ranks feature regions based on multiple parameters including brightness values, region areas, and distances from the image center. By changing the presentation order and selection criteria based on these parameter evaluations, the system transforms the static display of multiple regions into a dynamic, prioritized list that automatically adapts to image content characteristics.
2Ease of operation
If automatic feature region selection is implemented, then user operation complexity is reduced, but selection accuracy may deteriorate without considering user preferences
Solution Approach 1:
The system incorporates user interaction feedback by detecting when a user views or interacts with displayed feature region information. Based on this feedback, the control unit adjusts the selection criteria and re-ranks feature regions using the evaluation function. This feedback mechanism ensures that the automatic selection aligns with actual user interests and preferences, thereby maintaining high selection accuracy while preserving ease of operation.
Data Source
AI summary
An electronic apparatus includes an acquiring unit, a position acquiring unit, and a control unit. The acquiring unit is configured to acquire an image. The position acquiring unit is configured to acquire a position of a display item which is displayed at a currently selected position in the image. The control unit, in a case where the image includes a plurality of feature regions, selects one of the plurality of feature regions based on a distance between each of the plurality of feature regions and the display item.