Object-Aware Image Capture Parameter Adjustment for Accurate Images
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Solution Overview
Problem
Conventional image capture devices lack context-awareness in selecting image capture modes and parameters, leading to inaccurate and unprofessional-looking images, particularly for amateur photographers.
Innovation Solution
An image capture and modification system that dynamically adjusts image capture modes, parameters, and composition elements based on detected objects and background analysis, using object recognition and network-accessible publications to suggest optimal settings for accurate image representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional image capture modes are used with fixed settings, then device complexity is reduced, but image accuracy and quality deteriorate
Solution Approach 1:
The image capture device automatically performs object recognition, context analysis, and parameter adjustment without requiring user intervention. The system serves itself by autonomously selecting optimal capture modes and modifying parameters based on detected objects and background analysis, thereby improving image accuracy while avoiding the complexity of manual configuration interfaces.
Solution Approach 2:
The system dynamically changes image capture parameters (such as focus, exposure, color balance) based on the detected object type and background context. By automatically adjusting these parameters according to the specific capture scenario, the system achieves high image accuracy without requiring the user to understand or configure complex settings.
2Manufacturing precision
If artistic image effects are applied, then visual appeal is improved, but image accuracy deteriorates
Solution Approach 1:
The system performs preliminary analysis of the capture scene, identifying objects and background characteristics before the image is captured. Based on this pre-analysis, it automatically selects appropriate capture modes and parameters that prioritize accuracy while maintaining visual appeal, preventing the need for post-capture artistic effects that would compromise accuracy.
Solution Approach 2:
The system provides feedback to the user about the detected objects and selected capture parameters, allowing users to understand the rationale behind automatic adjustments. This transparency maintains user satisfaction by involving them in the process while preserving image accuracy through scientifically-based parameter selection rather than arbitrary artistic effects.
3Manufacturing precision
If context-aware object recognition is implemented, then image quality is improved, but processing time increases
Solution Approach 1:
The system performs object recognition and context analysis in real-time during the capture process rather than as a post-processing step. By completing the analysis beforehand, it can immediately apply the appropriate capture parameters and modes, ensuring high image quality without significant delay to the user workflow.
Solution Approach 2:
The patent replaces complex mechanical or manual analysis methods with automated computer vision algorithms and machine learning models. This substitution enables rapid processing of image data for object recognition and context analysis, maintaining high image quality while minimizing the time required for analysis and parameter adjustment.
Data Source
AI summary
In various example embodiments, a system and method for modifying images are presented. The system receives a user interface selection initiating an image capture and detects a first image capture parameter. The system identifies an object of interest within a field of view of an image capture device and identifies a set of object characteristics of the object of interest. The system generates a parameter notification indicating a suggested modification of the first image capture parameter based on one or more object characteristics of the set of object characteristics. The system causes presentation of the parameter notification at the image capture device.