Dynamic Image Resolution Control for Storage and Battery Optimization
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Solution Overview
Problem
Users often set cameras to capture images at the highest resolution unnecessarily, leading to larger file sizes and rapid storage consumption, as they are unsure when extra pixels may be needed for zooming or panning, and existing systems lack efficient methods to dynamically determine optimal image resolution based on scene factors.
Innovation Solution
A system and method that use a processor to determine optimal image resolution based on factors such as the size of regions of interest, high-frequency content, lighting conditions, and battery life, allowing for automatic or user-selectable resolution settings to balance image quality and file size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera is set to capture images at the highest resolution, then image quality is improved, but file size increases and storage is consumed rapidly
Solution Approach 1:
The system dynamically changes the resolution parameter based on scene analysis. It evaluates factors such as the presence of regions of interest, lighting conditions, and motion detection to automatically adjust the capture resolution, capturing at high resolution only when necessary and lower resolution otherwise, thus optimizing the balance between image quality and storage consumption
Solution Approach 2:
The camera system performs self-service by automatically determining the optimal resolution without user intervention. The processor analyzes scene characteristics and autonomously selects the appropriate resolution setting, eliminating the need for users to manually configure resolution settings while achieving efficient storage utilization
2Measurement precision
If the camera is set to capture images at the highest resolution, then image quality is improved, but battery life decreases
Solution Approach 1:
The system dynamically adjusts the power consumption parameter by changing resolution settings based on scene requirements. During low-activity periods or when scene conditions don't warrant high resolution, the system lowers the capture resolution to reduce processor workload and energy consumption, thereby extending battery life while maintaining adequate image quality
3Quantity of substance
If the camera automatically determines optimal resolution based on scene factors, then storage and battery efficiency are improved, but device complexity increases
Solution Approach 1:
The scene analysis function is segmented into multiple independent evaluation modules: region of interest detection, lighting condition analysis, motion detection, and resolution determination. Each module processes specific aspects of the scene independently, allowing the system to achieve sophisticated scene understanding through modular processing rather than a single complex algorithm, thus managing device complexity effectively
Data Source
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AI summary
Systems and methods for deductively determining a resolution setting for an imaging device based on one or more features of a scene are disclosed. The features may include the size of primary or foreground faces within the scene, a maximum amount of high frequency content within the scene, a lighting condition of the scene, or a battery level of an electronic device.