Digital Collage Generation Using Region of Interest Permutations
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Solution Overview
Problem
Conventional image editing systems fail to optimize the placement of digital images in collages due to their inability to account for variations in image composition, leading to visually off-putting arrangements and inefficient user interaction processes.
Innovation Solution
An image editing system calculates different arrangement permutations for placing digital images into a collage template, identifies regions of interest, and selects the arrangement with the optimal permutation error value to ensure the best fit of these regions, thereby automating the collage generation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional image editing systems use predefined collage formats to arrange digital images, then the collage generation process is simple and fast, but the arrangement does not account for regions of interest and produces visually suboptimal results
Solution Approach 1:
The system performs preliminary identification of regions of interest in each digital image before arranging images in the collage. This advance analysis allows the system to prioritize and protect important visual elements during the arrangement process, ensuring that regions of interest are not obscured while still maintaining efficient automated collage generation
Solution Approach 2:
The system applies different treatment to different parts of the images by identifying and prioritizing regions of interest. Instead of treating all image areas equally, the system locally optimizes the arrangement to preserve important visual elements while allowing less important areas to be adjusted for better overall composition
2Manufacturing precision
If users manually manipulate digital images to achieve optimal arrangement in a collage, then the visual arrangement quality can be improved, but the time required and complexity of user interaction increases significantly
Solution Approach 1:
The system performs automated arrangement of digital images in the collage by itself, using algorithms to identify regions of interest and calculate optimal positioning. This self-service capability eliminates the need for users to manually manipulate each image, significantly reducing interaction time while maintaining high visual arrangement quality through automated optimization
3Ease of operation
If conventional systems arrange digital images based solely on image size without considering composition, then the arrangement process is straightforward, but regions of interest may be obscured by other images
Solution Approach 1:
The system identifies and marks regions of interest in each image before performing the arrangement process. This preliminary action ensures that when images are positioned and sized according to the collage template, the system can actively avoid placing images in a way that would obscure identified regions of interest, maintaining both simplicity and reliability
Data Source
AI summary
Techniques for generating a digital collage using digital images are described. An image editing system obtains a set of digital images and a collage template to be used for generating a digital collage. The image editing system calculates different arrangement permutations for placing the digital images into digital frames of the collage template, and identifies a region of interest in each of the digital images. The image editing system fits the digital images into the digital frames for each of the arrangement permutations, and calculates a permutation error value for each arrangement permutation based on proportions of the regions of interest for each of the digital images that fit into respective digital frames. The image editing system selects an arrangement permutation with an optimal permutation error value, and uses the selected arrangement permutation to arrange the set of digital images in the collage template to generate the digital collage.