Image Module Layout Generation with Permutation-Based Template Selection
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Solution Overview
Problem
Existing systems lack an efficient method for generating visually appealing layouts of image modules, such as advertisements, that can accommodate varying image sizes and constraints, leading to suboptimal display on web pages or electronic circulars.
Innovation Solution
A system that receives image modules, determines their compatibility with predefined layouts, separates them if necessary, and assigns them to candidate templates based on size and structural constraints, generating permutations and selecting the best layout templates for display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image modules are assigned to layouts without considering permutations and constraints, then the layout generation process is simple and fast, but the visual appeal and optimization of the layout deteriorates
Solution Approach 1:
The system pre-calculates and stores the number of possible permutations for different image module configurations before actual layout generation. This preliminary computation allows the layout generator to quickly select optimized arrangements without performing complex calculations in real-time, thus maintaining both speed and visual appeal.
Solution Approach 2:
The layout generation system dynamically adjusts the number of candidate templates based on the determined number of permutations. When permutations indicate high potential for visual appeal, the system generates more candidate templates for selection. This dynamic adaptation allows the system to balance computational efficiency with visual quality based on the specific characteristics of the image modules being arranged.
2Ease of manufacture
If the system generates many candidate templates based on permutations, then the visual appeal and optimization improve, but the computational complexity and processing time increase
Solution Approach 1:
The system changes the parameter of candidate template quantity based on the determined number of permutations. Instead of generating a fixed number of templates, the system dynamically adjusts this parameter: when permutations suggest limited arrangement possibilities, fewer templates are generated; when multiple good arrangements exist, more templates are created. This parameter adaptation reduces unnecessary computational complexity while maintaining optimization quality.
Solution Approach 2:
The system generates a partial set of candidate templates based on the determined permutations rather than exhaustively generating all possible templates. By calculating the number of meaningful permutations first, the system identifies a sufficient subset of templates that will achieve good visual appeal without the excessive computational burden of generating every possible template variation.
3Ease of manufacture
If image modules are separated into different layouts, then each layout can be optimized independently, but the overall processing time and complexity increase
Solution Approach 1:
The system segments image modules into different layouts based on their compatibility and constraints. By dividing the image modules into groups that can be independently arranged, the system optimizes each layout separately, improving the precision of optimization for each group while managing overall complexity through structured division.
Solution Approach 2:
The system performs preliminary determination of which image modules fit together in each layout before actual assignment. This preliminary grouping based on compatibility analysis allows subsequent independent optimization of each layout to proceed efficiently without repeated trial-and-error, reducing overall processing time despite the segmentation.
Data Source
AI summary
Techniques for generating layout may include: receiving data corresponding to images modules; determining that a set of the image modules will fit a layout; assigning image modules from the set to the layout; determining a number of possible permutations of the image modules given one or more constraints associated with images in the set of image modules; selecting a number of candidate templates to accommodate the layout, where the number of candidate templates is based on the number of permutations; filling candidate templates with image modules from the set; receiving an input selecting one of the candidate templates containing image modules from the set; and outputting data for the selected candidate template, the data for generating a display of the selected candidate template.