Imaging Data Generation for Life Log Enrichment
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Solution Overview
Problem
Existing life log systems primarily record sensing data such as images and position information but lack the ability to accumulate and enrich various types of data effectively.
Innovation Solution
An imaging data generation apparatus and method that includes a captured image reception section, an environmental map generation section, and an imaging data generation section, which identifies and enhances captured images based on environmental maps and imaging data, associating them with positional or subject information to enrich the life log data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple captured images are accumulated in the life log, then the quantity of data is increased, but the quality and relevance of the recorded data deteriorates due to lack of identification and classification
Solution Approach 1:
The system performs preliminary identification and classification of captured images by generating environmental maps and imaging data before final storage. The identification section pre-processes images by determining their significance based on environmental context, rarity, and density metrics, so that when images are accumulated in the life log, they are already organized and relevant, preventing information loss.
Solution Approach 2:
The patent replaces manual or simple automatic image selection with an intelligent system that uses environmental maps and imaging data to automatically identify significant images. The identification section substitutes complex decision-making logic that evaluates multiple criteria (rarity, density, environmental context) to determine which images should be retained, replacing what would otherwise require manual curation or simple timestamp-based storage.
2Manufacturing precision
If all captured images are stored with high quality, then the image quality is improved, but the storage space and processing complexity increases significantly
Solution Approach 1:
Instead of uniformly processing all captured images with the same high quality standards, the system applies local quality enhancement only to identified significant images. The identification section determines which images merit high-quality storage based on their rarity, density, and environmental context, while less significant images can be stored in lower resolution or compressed formats, reducing overall processing complexity while maintaining quality where it matters.
Solution Approach 2:
The system performs partial action by selectively applying high-quality processing only to a subset of captured images that meet specific criteria (rarity, density, significance). Rather than processing every single captured image at full quality, the identification section filters and prioritizes images, applying intensive processing only where necessary to achieve the desired outcome with reduced overall complexity.
3Device complexity
If the life log includes only basic sensing data, then the system simplicity is maintained, but the data enrichment and usefulness deteriorates
Solution Approach 1:
The patent introduces environmental maps and imaging data as intermediary structures that bridge basic sensing data and meaningful life log entries. These intermediaries organize and contextualize raw sensor information, enabling automatic identification of significant images without requiring complex direct analysis of all sensing data. The environmental map serves as a mediator that structures spatial and temporal relationships, while imaging data provides contextual information that enriches the life log without demanding excessive system complexity.
Data Source
AI summary
There are provided an imaging data generation apparatus, an imaging data generation method, and a program for enriching data accumulated as a life log. A sensing data reception section (40) receives multiple captured images successively. A life log data generation section (42) generates an environmental map based on the multiple captured images. The life log data generation section (42) generates imaging data indicative of an imaging position or a subject of the captured image, the imaging data being associated with the environmental map.