Image Pickup Control Using Weighted User Preference Data
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Solution Overview
Problem
Life log cameras capture images automatically without user intervention, often resulting in unwanted video footage and missing desired moments.
Innovation Solution
An image pickup apparatus that prioritizes user-preferred data processing by assigning greater weights to user-instructed data over automatically processed data, incorporating features like tilt and pan units, angular velocity sensors, and voice recognition for user preference-based image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a life log camera periodically and automatically shoots an image without user intervention, then the camera can record scenes continuously, but the user may acquire video images that are not their preference and miss desired moments
Solution Approach 1:
The system incorporates a feedback mechanism where user reactions to automatically captured images are collected and used to adjust future capture decisions. The determination unit analyzes user feedback (such as liking/disliking responses) to learn user preferences and improve the accuracy of automatic capture timing, thereby resolving the contradiction between automation and user preference alignment.
Solution Approach 2:
The life log camera performs self-learning by automatically analyzing user feedback without requiring explicit user configuration. The determination unit autonomously adjusts capture parameters based on accumulated user reactions, enabling the system to serve itself in optimizing capture quality while maintaining automatic operation.
2Measurement precision
If greater weights are assigned to user-instructed data than to automatically processed data, then user preference accuracy is improved, but system complexity increases
Solution Approach 1:
The system dynamically changes the weighting parameter in the determination process based on data source reliability. User-instructed data is assigned greater weights than automatically processed data, and these weights are adjustable based on accumulated experience. This parameter adjustment approach improves preference detection accuracy while maintaining a relatively simple processing framework.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the capture of user-preferred video images without manual operation, ensuring that desired moments are recorded while minimizing unwanted footage.
Implementation Method 1
angular velocity sensors
Data Source
AI summary
An image pickup apparatus is configured to change a shooting process based on data on a shot image. The image pickup apparatus is configured to, when the image pickup apparatus changes the shooting process, assign greater weights to the data on the shot image based on an instruction from a user than to the data on the shot image automatically processed.