Photo Album Template Selection via Location Metadata
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Solution Overview
Problem
Conventional technologies cannot automatically select a photo album template with a design matching the photographing place or period of image data, limiting the ability to generate photo albums with theme-specific designs.
Innovation Solution
An information processing apparatus that acquires identification information of the photographing area and selects a template with a design corresponding to this information from a stored template group, using a kiosk terminal and image database system to generate a photo album.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional template selection methods are used, then the template selection process is simple, but the template design does not match the photographing place or period
Solution Approach 1:
The system performs preliminary classification of templates according to photographing places (e.g., parks, museums, beaches) and periods (e.g., seasons, festivals) before the actual photo album generation. This pre-organization allows the selection unit to quickly match templates with image data based on metadata without complex real-time analysis, resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The invention introduces an identification information unit that extracts metadata (photographing place and period) from image data as an intermediary. This mediator connects the image data to the appropriate template by translating visual content into searchable attributes, enabling automatic template selection without requiring complex image analysis or manual intervention.
2Manufacturing precision
If automatic template selection based on photographing place/period is implemented, then thematic relevance is improved, but processing complexity increases
Solution Approach 1:
The template selection process is segmented into independent functional units: an identification information unit that extracts metadata, a classification unit that categorizes templates by place and period, and a selection unit that matches them. This segmentation allows each unit to perform its specific function with high accuracy while keeping the overall system manageable and modular.
3Productivity
If manual template selection is used, then system complexity is low, but time consumption increases
Solution Approach 1:
The system enables self-service automatic template selection by utilizing metadata (such as GPS location, timestamp, or EXIF data) that is already embedded in the image data. The identification information unit automatically extracts this information without human intervention, and the selection unit autonomously matches it with appropriate templates, eliminating manual selection while maintaining system simplicity.
Data Source
AI summary
An information processing apparatus according to one embodiment of the present invention includes a storage unit configured to store a template group for assigning image data, an acquisition unit configured to acquire identification information of a photographing area in which the image data is photographed inside a facility, and a selection unit configured to select a template with a design corresponding to the identification information of the photographing area inside the facility from the template group stored in the storage unit.