Electronic Album Creation via Face Attribute Correlation
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Solution Overview
Problem
Existing systems for creating electronic albums do not effectively prioritize and organize images to create a cohesive family album, often including non-family images and lacking consideration for family member attributes.
Innovation Solution
An electronic album creating apparatus and method that displays attribute identification pages with family member attributes, allowing users to correlate representative face images with these attributes, and assigns images to pages based on detected family member attributes, ensuring a focused family album creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If images are automatically assigned to each page to create an electronic album, then the album creation process is simplified, but images of non-family members may be included and family member attributes are not properly organized
Solution Approach 1:
The patent segments the image collection process into distinct phases: first automatically generating an electronic album with all images, then separately identifying and extracting family member images through attribute detection. This segmentation allows the system to maintain ease of automatic creation while adding precision through subsequent family-specific processing.
Solution Approach 2:
The system performs preliminary automatic album creation before family member identification. By first creating a complete album structure and then overlaying family attribute detection, the system prepares the foundation in advance, making the subsequent family-focused organization more efficient and accurate.
2Manufacturing precision
If family member attribute identification is added to ensure accurate family image selection, then image organization precision is improved, but the complexity of the album creation system increases
Solution Approach 1:
The patent introduces an intermediary component - the attribute detection device - that acts as a bridge between the automatic image assignment system and the family member identification requirement. This intermediary detects family attributes without requiring complete system redesign, thereby improving accuracy while managing complexity through modular addition.
Solution Approach 2:
The system employs multi-functional image processing capabilities that serve both general album creation and specific family member identification. The same image processing infrastructure is used for both automatic assignment and family attribute detection, reducing overall system complexity despite the added functionality.
3Measurement precision
If representative face images are correlated with family member attributes through user interaction, then family member identification accuracy is improved, but the time required for album creation increases
Solution Approach 1:
The system implements partial user interaction by requiring users to correlate only representative face images with family attributes, rather than manually tagging every single image. This partial action approach achieves sufficient identification accuracy while significantly reducing the time investment compared to complete manual annotation.
Solution Approach 2:
The system uses feedback mechanisms where the attribute detection device analyzes user correlations of representative faces and automatically applies this learned information to identify family members across the entire image collection. This feedback loop allows the system to improve identification accuracy progressively without requiring users to manually process every image.
Data Source
AI summary
A family electronic album is created. Representative face images of a family are displayed. The representative face images are dragged and dropped onto corresponding areas among areas that identify family attributes (“father”, “mother”, etc.). Since the family attributes of the representative face images can be ascertained, the family attributes of face images that resemble these face images can be determined. Since images that include all family members and images that include some family members can be determined from among images that include face images the family attributes of which have been determined, these images are laid out in the electronic album.