Automated Layout Generation for Visual Content
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Solution Overview
Problem
Users often struggle to present visual content effectively due to a lack of design expertise, leading to formats that are not readily consumable by viewers, as visual content is published without consideration for optimal presentation.
Innovation Solution
A computing device executes a layout generator that analyzes images to identify salient and invariant regions, matching them with pre-defined design layouts to generate effective layouts for visual content and text placement, allowing for automatic or manual adjustment to ensure optimal visibility and readability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users publish visual content without design expertise, then publication speed is improved, but presentation quality deteriorates
Solution Approach 1:
The system enables automated layout generation where the computer automatically analyzes images, identifies salient and invariant regions, selects appropriate designs, and generates layouts without requiring user design expertise. This self-service approach maintains high publication speed while ensuring professional-quality presentation through algorithmic design selection and image transformation.
2Ease of operation
If automated layout generation is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The complex layout generation process is segmented into distinct functional modules: image analysis module (identifying salient and invariant regions), design selection module (matching images with appropriate layouts), and layout generation module (transforming and assembling final outputs). This segmentation manages system complexity by organizing functions into separate, manageable components while providing users with a simple unified interface.
3Manufacturing precision
If image analysis for salient regions is performed, then layout accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary image analysis by pre-identifying salient regions (containing important content) and invariant regions (suitable for text placement) before layout selection. This preliminary action ensures that when a design is selected, the image can be quickly transformed and positioned accurately within the layout, maintaining high layout accuracy while reducing real-time processing delays during actual layout generation.
Data Source
AI summary
Concepts and technologies are described herein for transforming data to create layouts. In accordance with the concepts and technologies disclosed herein, a computing device can execute a layout generator. The computing device can be configured to receive or retrieve data that includes visual content such as an image and other content such as text. The computing device can analyze the visual content to identify a salient region and/or an invariant region within the visual content. The computing device can access designs for laying out visual content and other content based upon an identified salient region and/or invariant region. The computing device can evaluate the designs to determine if a design matches the data. The computing device can load the data into the selected design to generate the layout.