Image Composition Scoring With Real-Time Movement Guidance
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Solution Overview
Problem
Users, especially amateurs, often capture non-optimal images of monuments, scenes, and events due to lack of expertise in composition, leading to skewed or poorly positioned objects and suboptimal quality.
Innovation Solution
An image capture device equipped with machine learning models analyzes image composition and provides real-time suggestions to adjust device position and zoom level for improved image quality, using visual, audio, or haptic feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users take pictures without expertise in composition, then the ease of operation is improved, but the manufacturing precision of image composition deteriorates
Solution Approach 1:
The system provides real-time feedback to users about image composition quality by analyzing preview images and suggesting specific adjustments. The feedback mechanism includes composition scores, directional guidance for moving the device, and zoom level recommendations, enabling users to improve their images through iterative adjustments based on system feedback
Solution Approach 2:
The system performs automatic composition analysis and generates optimization suggestions without requiring user expertise. The machine learning model autonomously evaluates the preview image and provides actionable guidance, allowing the system to serve itself in improving image composition rather than relying on user knowledge
2Manufacturing precision
If the system provides real-time composition analysis and suggestions, then the image composition quality is improved, but the device complexity increases
Solution Approach 1:
The patent replaces complex mechanical or manual composition adjustment mechanisms with a computational approach using machine learning models. The system uses software-based image analysis and automated suggestion generation instead of requiring complex hardware controls or manual expert intervention, substituting mechanical complexity with intelligent algorithms
Data Source
AI summary
Systems, apparatus, and methods are presented for improving the composition of images. One method includes receiving a first preview image of a scene and processing the first preview image using a first machine learning model to determine at least one direction to move a user device based on a composition score of the first preview image and at least one composition score of a plurality of candidate images. The method also includes detecting movement of the user device and receiving a second preview image of the scene after movement of the user device.