Contextual Thumbnail Generation for Responsive Design
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Solution Overview
Problem
No-Code and Low-Code software development platforms face challenges in providing dynamic and contextual component preview thumbnails, especially for responsive, adaptive, and hybrid modes, as well as multiple locale applications, due to the complexity of responsive designs and the inability of static thumbnails to adapt to various screen sizes, orientations, and cultural subtleties.
Innovation Solution
A method and system for generating contextual thumbnail previews involves extracting data related to project components, including breakpoints and locales, generating a contextual map, creating interim thumbnails, mapping these with pre-stored thumbnails using a Machine Learning model, and consolidating the results to produce final contextual thumbnail previews.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static thumbnails are used for component previews, then the system complexity is low and generation is fast, but the thumbnails cannot adapt to various screen sizes, orientations, and locales
Solution Approach 1:
The patent implements dynamic thumbnail generation that adapts to different breakpoints, locales, and device configurations. Instead of static thumbnails, the system generates context-specific thumbnails based on extracted project data including breakpoints and locales, making the thumbnails dynamic and adaptive to various viewing conditions
Solution Approach 2:
The patent segments the thumbnail generation process into distinct stages: extracting project data, generating contextual maps, creating interim thumbnails, mapping with pre-stored thumbnails using ML models, and consolidating results. This segmentation allows complex adaptive generation while managing system complexity through modular processing
2Adaptability or versatility
If dynamic contextual thumbnails are generated for all breakpoints and locales, then thumbnail adaptability improves, but computational resources and processing time increase
Solution Approach 1:
The patent performs preliminary extraction of breakpoints and locales from project data before thumbnail generation. By pre-identifying the contextual parameters needed, the system avoids unnecessary computation for irrelevant configurations and streamlines the subsequent thumbnail generation process
Solution Approach 2:
The patent uses pre-stored thumbnails as reference copies and maps interim thumbnails against them using Machine Learning models. This approach leverages existing thumbnail assets rather than generating entirely new thumbnails from scratch, reducing computational overhead while maintaining adaptability
3Measurement precision
If multiple interim thumbnails are generated and mapped through ML models, then thumbnail accuracy improves, but processing time increases
Solution Approach 1:
The patent merges multiple interim thumbnails through consolidation based on contextual maps and ML model mapping results. By combining and selecting the best matching thumbnails rather than processing each independently to completion, the system achieves accurate results while reducing overall processing time
Data Source
AI summary
The disclosure relates to method and system for generating contextual thumbnail previews. The method includes extracting data associated with a project including at least one component. The data includes one or more breakpoints, and one or more locales defined for the at least one component of the project. The method further includes generating a contextual map based on the data received; generating one or more interim thumbnails based on the contextual map; mapping the one or more interim thumbnails with pre-stored thumbnails within a database through a Machine Learning (ML) model; generating a consolidated contextual map based on the contextual map and the mapping; and generating one or more final thumbnails corresponding to the contextual thumbnail previews based on the consolidated contextual map.