Automated Image Layout Generation Preserving Focus Area
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Solution Overview
Problem
Existing solutions for automatically creating multiple layered images from a single image fail to maintain the design aesthetic or visual appeal of the original artwork, often requiring manual intervention.
Innovation Solution
An image processing system that adjusts and crops objects to create additional layouts by applying scaling factors to ensure the focus area is contained within the output image, maintaining the design aesthetic by propagating the background and foreground objects appropriately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic cropping solutions are used to create multiple layouts, then productivity is improved, but manufacturing precision deteriorates because the design aesthetic and visual appeal cannot be maintained
Solution Approach 1:
The patent segments the image processing into distinct functional modules: background object processing, foreground object processing, focus area detection, and composition assembly. Each module handles specific tasks independently, allowing automated processing while maintaining precision through structured control of each segmentation step.
Solution Approach 2:
The system changes processing parameters dynamically based on the detected focus area. By identifying the focus area's position and dimensions, the system adjusts cropping parameters, scaling factors, and composition rules to ensure the focus area remains properly positioned in output layouts, thereby maintaining design aesthetic while enabling automated processing.
2Manufacturing precision
If manual intervention is used to maintain design aesthetic, then manufacturing precision is improved, but productivity deteriorates due to time-consuming processes
Solution Approach 1:
The system implements self-service by automatically detecting focus areas and making cropping decisions without manual intervention. The automated focus area detection algorithm identifies important regions and determines optimal crop compositions based on these detections, enabling the system to maintain design aesthetic autonomously while significantly improving productivity.
Solution Approach 2:
The system uses feedback from focus area detection to adjust cropping parameters. By continuously monitoring the position and characteristics of the focus area, the system dynamically adjusts composition decisions to maintain design aesthetic, creating a closed-loop control system that achieves both precision and efficiency.
3Device complexity
If focus area is not prioritized in cropping, then device complexity is reduced, but loss of information increases as important visual elements may be cropped out
Solution Approach 1:
The system performs preliminary detection of the focus area before executing the cropping operation. By identifying and marking the focus area in advance, the system ensures that important visual elements are preserved during automated layout generation, preventing information loss while maintaining relatively simple processing algorithms through pre-planned composition strategies.
Data Source
AI summary
Systems and methods for the automatic creation of multiple image layouts. In an example, an image processing application creates an output layered image from an input layered image that includes a background object, a foreground object, and a focus area that at least partially overlaps with the foreground object. The image processing application applies a scaling factor to the foreground object such that the foreground object either is entirely contained within the output foreground object or one dimension of the foreground object is contained within the output foreground object. The image processing application further determines an output focus area in the output foreground object by applying the scaling factor to the focus area. The image processing application crops the foreground object such that the focus area is contained within the output foreground object, thereby creating the output layered image.