Adaptive Image Capture Interval for Life-Log Resource Optimization
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Solution Overview
Problem
The electronic apparatus requires periodic photographing for life-log and story album production, leading to wastage of memory and operational resources, making efficient and convenient life-logging and story album production difficult.
Innovation Solution
The apparatus adjusts the photographing interval based on event-specific conditions, such as motion, image quality, and recognition information, to optimize resource usage and automate the production of story albums.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If periodic photographing is performed according to related art, then life-log and story album production can be achieved, but memory and operational resources are wasted
Solution Approach 1:
The patent applies dynamics by making the photographing interval adjustable rather than fixed. The system dynamically changes the photographing interval based on detected events or conditions, allowing shorter intervals when important events occur and longer intervals during normal periods. This resolves the contradiction by maintaining productivity during important moments while reducing resource consumption during ordinary times.
Solution Approach 2:
The patent changes the parameter of photographing interval based on different conditions or events. By monitoring sensors or image analysis results, the system adjusts the photographing frequency parameter dynamically - increasing frequency when events are detected and decreasing it during normal periods. This parameter adaptation enables efficient resource utilization while capturing important life moments.
2Productivity
If periodic photographing is performed according to related art, then life-log and story album production can be achieved, but manual input by user is required
Solution Approach 1:
The patent implements self-service by enabling the system to automatically detect events and adjust photographing intervals without user intervention. The system autonomously monitors conditions, identifies important moments, and modifies photographing behavior accordingly. This eliminates the need for manual input while maintaining efficient life-logging and story album production.
Solution Approach 2:
The patent uses feedback mechanisms where sensor data or image analysis results are continuously monitored and fed back to the control system. Based on this feedback, the system automatically adjusts photographing intervals. This closed-loop control enables automated operation without manual input, resolving the contradiction between productivity and ease of operation.
3Loss of information
If photographing interval is shortened to capture more moments, then life-logging completeness improves, but resource consumption increases
Solution Approach 1:
The patent applies dynamics by making the photographing interval adaptive rather than static. The system shortens the interval when events are detected to improve life-log completeness, and lengthens it during normal periods to conserve resources. This dynamic adjustment resolves the contradiction between information completeness and resource consumption.
Solution Approach 2:
The patent applies partial action by performing frequent photographing only when necessary (during detected events) rather than continuously. During normal periods, the system uses longer intervals or reduced frequency. This selective approach ensures complete life-logging during important moments while avoiding excessive resource consumption during ordinary times.
Data Source
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AI summary
An electronic apparatus for providing a service associated with images is provided. The electronic apparatus includes a memory, and a processor configured to acquire multiple images, acquire information associated with at least one of the multiple images, classify at least some of the multiple images into at least one group based on the information associated with the at least one of the multiple images, and provide a service based on information of the classification of the at least some of the multiple images.