Stable Imaging State Estimation for Automatic Main Subject Determination
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Solution Overview
Problem
Current image processing systems require manual user intervention to select and track a main subject, which is challenging due to difficulties in selecting moving subjects, limited screen resolution, finger size, and time lags, leading to image blur and tracking failures, especially in small-sized cameras.
Innovation Solution
An image processing device with a stable imaging state estimation and main subject determination module that automatically determines a main subject by estimating a stable imaging state, allowing for timely and accurate subject identification without user action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user selection of main subject is implemented, then user control over subject tracking is improved, but ease of operation deteriorates due to difficulty in selecting moving subjects while holding camera
Solution Approach 1:
The system automatically determines the main subject without requiring manual user input. The main subject determination portion autonomously analyzes candidate regions from multiple detectors and selects the appropriate subject, allowing the system to serve itself rather than requiring continuous user intervention.
Solution Approach 2:
The patent replaces the mechanical interaction of manual touch selection with an automated computational process. Instead of requiring physical finger contact with the display screen, the system uses image processing algorithms to automatically identify and track the main subject based on analysis of candidate regions from various detectors.
2Ease of operation
If automatic main subject determination is implemented, then ease of operation is improved, but measurement precision deteriorates due to difficulty in accurately identifying the desired subject among multiple candidates
Solution Approach 1:
The system divides the complex task of main subject identification into multiple independent detection processes. Different detectors specialize in identifying specific types of subjects (faces, bodies, eyes), and the main subject determination portion integrates these segmented results to make the final determination, improving both accuracy and ease of operation.
3Adaptability or versatility
If user selection interface is provided, then adaptability is improved, but device complexity increases due to additional interface components and processing requirements
Solution Approach 1:
The main subject determination portion serves multiple functions: it processes candidate regions from various detectors, determines the main subject automatically, and can adapt to different detection scenarios. This multi-functional component reduces the need for separate specialized interfaces while maintaining adaptability across different subject types and detection methods.
Data Source
AI summary
An image processing device includes a stable imaging state estimation portion that performs a stable imaging state estimation process of estimating whether or not a stable imaging state occurs, and a main subject determination portion that performs a main subject determination process. The main subject determination portion outputs a result of the main subject determination process when it is estimated that the stable imaging state occurs due to the stable imaging state estimation process.