Automated Photo Annotation Using Line Graphics and Segmentation
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Solution Overview
Problem
Existing methods for creating annotated hardcopy photo products that identify individuals in group scenes are costly, require specialized skills, and are not suited for DIY applications using smartphones or retail photo kiosks, as they often obscure the original scene or require extensive image editing.
Innovation Solution
A method using a processor to automatically create line graphics outlining individuals in a scene, annotate them with identification information, and format the images to produce a hardcopy photo product that includes the annotated line graphic without obscuring the original scene, utilizing algorithms like graph cut image segmentation and facial recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If professional graphic artists manually create annotated visual references, then identification accuracy and visual quality are improved, but cost and complexity increase significantly
Solution Approach 1:
The system enables automatic self-annotation of group photos by processing images through computational algorithms that automatically detect individuals, generate outlines, and associate identification information without requiring professional graphic artists or manual intervention
Solution Approach 2:
The patent replaces manual mechanical processes of professional graphic artists with automated computational systems using image processing algorithms, machine learning models, and digital processing to achieve the same annotation function
2Loss of information
If text overlays are permanently added to identify individuals, then identification information is provided, but the original scene content is obscured
Solution Approach 1:
The system segments the image into different visual elements (original photo content and annotation elements) and places them in separate layers or positions, allowing the annotation to be added without permanently obscuring the original scene content
Solution Approach 2:
The patent introduces additional visual dimensions such as outlines, halos, or boundary markers around individuals rather than directly overlaying text on their faces, providing identification information through a different visual dimension that preserves the original image
3Manufacturing precision
If manual image editing and processing is performed to create annotated visuals, then customization and accuracy are improved, but time consumption and skill requirements increase
Solution Approach 1:
The system performs automatic image processing and annotation without requiring user expertise in image editing tools or manual manipulation, making the process accessible to ordinary users while maintaining customization capabilities
Solution Approach 2:
The patent pre-processes images through automated detection and segmentation algorithms before final annotation, performing the complex image analysis work in advance so that users only need to provide minimal input and review the results
Data Source
AI summary
A method for automatically generating a hardcopy photo product with a visual annotated graphic legend provides additional information related to the printed image without obscuring the printed image.