Image Attribute Conversion Based on Viewer Relationships
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Solution Overview
Problem
Existing information processing systems lack the ability to effectively extract and convert attribute information from images, particularly in scenarios where viewer relationships with subjects are unknown, such as family members or acquaintances, leading to difficulties in identifying individuals in photographs.
Innovation Solution
An information conversion apparatus that includes an extraction unit for attribute information, an acquisition unit for viewer information, a determination unit using a database to establish relationships, and a conversion unit that modifies the attribute information based on these relationships, allowing for enhanced identification and display of subject information in images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If attribute information is extracted and displayed as-is from images, then the information is preserved accurately, but it becomes difficult for viewers to identify subjects when they do not recognize the individuals in photographs
Solution Approach 1:
The system changes the parameter of attribute information by converting names into relationship descriptions (e.g., from 'John Doe' to 'your father'). This transformation maintains the accuracy of identification while improving ease of recognition for viewers who may not remember specific names but can identify family relationships.
Solution Approach 2:
The system introduces an intermediary component (the determination unit with database) that mediates between the raw attribute information and the viewer. This intermediary converts names into relationship-based descriptions, bridging the gap between accurate identification and easy recognition by the viewer.
2Measurement precision
If a database is used to determine relationships between subjects and viewers, then accurate conversion of attribute information is achieved, but the system complexity increases
Solution Approach 1:
The determination unit serves multiple functions: it stores relationship data in a database, determines relationships between subjects and viewers, and converts attribute information accordingly. By consolidating these functions into a single multi-functional component, the system reduces overall complexity while maintaining accurate relationship determination.
3Ease of operation
If attribute information is converted based on viewer relationships, then viewer-friendly identification is improved, but information loss occurs in the conversion process
Solution Approach 1:
Instead of losing information, the system changes the parameter of presentation from names to relationship descriptions. The original name information is preserved in the database, while the converted relationship information (e.g., 'your father') provides viewer-friendly identification. Both forms of information coexist to serve different purposes.
Data Source
AI summary
An information conversion apparatus includes an extraction unit that extracts attribute information added to an image, an acquisition unit that acquires viewer information indicating a viewer, a determination unit that uses a database indicating a relationship between a subject corresponding to the attribute information and the viewer corresponding to the viewer information, and determines the relationship between the subject and the viewer, and a conversion unit that converts the attribute information based on the determined relationship.