Scene Change Detection for Automatic Image Capture Stabilization
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Solution Overview
Problem
Users face challenges in capturing stable and clear images with camera-equipped computing devices, as operating these devices single-handedly and maintaining focus on the desired object is difficult, and traditional methods require repetitive user input, leading to inefficiencies and potential image quality issues.
Innovation Solution
A system that automatically captures images by detecting scene changes and stabilization, allowing users to orient the camera without further input, using image processing algorithms to determine when a scene is stable and similar, thereby triggering an automatic capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional manual photo capture method is used, then user can control capture timing, but user effort and operation complexity increase significantly
Solution Approach 1:
The system performs image capture automatically by detecting scene changes and stabilization without requiring user intervention. The camera system serves itself by autonomously determining when to capture images based on scene analysis, eliminating the need for manual button presses or user control while maintaining optimal capture timing.
Solution Approach 2:
The patent replaces the mechanical/manual operation of pressing a capture button with an automated electronic system that uses image processing algorithms to detect scene changes and stabilization. This substitution of manual mechanical action with automated electronic control resolves the contradiction by eliminating user effort while achieving intelligent automatic capture.
2Measurement precision
If user operates device single-handedly to maintain focus on desired object, then capture precision can be maintained, but operation becomes difficult and time-consuming
Solution Approach 1:
The system autonomously monitors and detects scene stabilization without requiring continuous user attention or adjustment. By automatically determining when the scene is stable and ready for capture, the system eliminates the time users would spend manually maintaining focus while ensuring precise capture timing through automated scene analysis.
Solution Approach 2:
The system continuously analyzes incoming image frames to detect scene changes and stabilization states, using this feedback to automatically determine the optimal capture moment. This real-time feedback mechanism ensures precise focus and timing without requiring user intervention, resolving the contradiction between capture precision and time efficiency.
3Productivity
If traditional photo application is used requiring user input, then capture control is precise, but user effort and operation steps increase
Solution Approach 1:
The camera system performs all capture operations autonomously by detecting scene changes and stabilization. It automatically launches the capture function, monitors the scene, determines optimal timing, and executes the capture without requiring users to navigate applications or press buttons, thereby maximizing productivity while minimizing operational complexity to virtually zero user steps.
Solution Approach 2:
The patent extracts the capture control function from manual user operation and transfers it to an automated scene-detection system. By removing the need for user input entirely, the system achieves high capture efficiency while reducing operation steps to zero, as the automated system handles all aspects of capture decision-making and execution.
Data Source
AI summary
A series of frames or live images received by a camera can be processed by an automatic image capture system to determine when an automatic image capture should take place. The system can detect when a scene change occurs by comparison of data for two or more frames. If a scene change is followed by a stabilization of the scene, the system can trigger an auto-capture of the stabilized scene, without the need for user input.