Adaptive Image Collage Creation on Mobile Devices
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Solution Overview
Problem
Creating personalized image products on mobile devices is challenging due to smaller displays, lower computing power, and shorter user attention spans, leading to a lack of convenient tools for quickly designing image collages.
Innovation Solution
A computer-implemented method that breaks down the complex process of creating image collages into simpler steps, automatically selecting and fitting images into a template based on predetermined criteria, such as aspect ratio and image quality, allowing for adaptive collage creation suitable for various image products and devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated image collage creation is implemented on mobile devices, then user convenience and productivity are improved, but computational complexity and processing time increase
Solution Approach 1:
The patent segments the image collage creation process into distinct phases: template selection, image selection, image fitting, and layout optimization. By breaking down the complex computation into modular steps, each handling specific tasks with targeted algorithms, the system reduces overall computational complexity while maintaining high productivity on mobile devices
Solution Approach 2:
The system performs preliminary actions by pre-defining collage templates with predetermined layouts and constraints before the actual image collage creation. This pre-processing of template structures and placement rules reduces the computational burden during runtime, enabling fast execution on mobile devices with limited processing power
2Manufacturing precision
If complex optimization algorithms are used for image placement, then collage quality is improved, but processing time increases
Solution Approach 1:
The patent changes optimization parameters by adjusting the complexity level based on device capabilities. For mobile devices, it uses simplified optimization criteria with fewer iterations, while desktop systems can employ more rigorous optimization. This parameter adaptation maintains acceptable image placement precision while significantly reducing processing time on mobile platforms
Solution Approach 2:
The system applies partial optimization by focusing computational efforts on critical placement decisions rather than optimizing all possible arrangements. It performs sufficient optimization to achieve visually acceptable results without exhaustively searching all possible configurations, thereby reducing processing time while maintaining adequate collage quality
3Adaptability or versatility
If adaptive templates are used for different form factors, then versatility is improved, but computational overhead increases
Solution Approach 1:
The patent creates universal template structures that can adapt to different form factors through parameter adjustment rather than requiring separate optimization algorithms for each device type. The same core template engine serves multiple purposes across mobile devices, tablets, and desktop systems, reducing computational overhead while maintaining versatility through configurable template parameters
Data Source
AI summary
A computer-implemented method for creating an image collage includes automatically selecting a first image from the group of images that best fits image-collage template based on predetermined criteria, placing and fitting the first image in the image-collage template, automatically selecting one or more additional images from the group of images that best fits the image-collage template including one or more already placed images that include the first image, and placing and fitting the one or more additional images image in the image-collage template by the computer system. An image collage is formed after all images in the group are placed in the image-collage template.