Collage Composition Layout Using Placement Masks to Minimize Empty Space
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Solution Overview
Problem
Existing technologies struggle to efficiently generate visually appealing and space-optimized collage compositions of digital content, requiring significant human intervention and lacking automated methods to minimize unused space and maintain visual continuity.
Innovation Solution
A method and system that automatically generate a collage composition by ordering digital content pieces based on their features or metadata, using a placement grid with virtual shapes, and determining available space to minimize unused space, while maintaining visual continuity and optimizing placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated collage generation is implemented, then productivity is improved, but manufacturing precision deteriorates
Solution Approach 1:
The system performs self-optimization by automatically analyzing the placement grid and iteratively adjusting digital content piece placements to minimize unused space. The algorithm independently evaluates space utilization metrics and repositions pieces without external intervention, achieving both high automation and precision through self-directed optimization loops.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring space utilization after each placement operation. The optimization algorithm receives feedback about unused space distribution and adjusts subsequent placements accordingly, iteratively improving space optimization accuracy while maintaining automated operation.
2Area of stationary object
If space optimization is maximized, then area utilization is improved, but device complexity increases
Solution Approach 1:
The system segments the placement grid into discrete cells and processes digital content pieces individually through systematic placement operations. By dividing the complex optimization problem into cell-level decisions and piece-by-piece placements, the algorithm manages computational complexity while achieving high area utilization through localized optimization at each step.
3Ease of operation
If manual intervention is reduced, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system maintains precision in visual continuity assessment by dynamically adjusting evaluation parameters during automated operation. The algorithm modifies weighting factors for different continuity metrics based on placement context, ensuring high measurement precision for visual quality assessment while fully maintaining automated operation without manual intervention.
Data Source
AI summary
One embodiment provides a method comprising generating an ordered collection of digital content pieces. The digital content pieces are in an order based on features of the digital content pieces or metadata corresponding to the digital content pieces. The method further comprises generating a placement grid comprising a plurality of cells, receiving a placement mask representing one or more virtual shapes, and determining, based on the placement mask, a set of cells of the placement grid that represents available space on the placement grid for placement of the digital content pieces. The method further comprises generating, based on the set of cells and the order of the digital content pieces, a collage composition of the digital content pieces. Generating the collage composition comprises placing the digital content pieces within the set of cells such that an amount of the available space on the placement grid is minimized.