Automated Presentation Slide Generation for Mobile Devices
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Solution Overview
Problem
Existing presentation software requires substantial user input to create visually appealing presentations, which is impractical on mobile devices with limited input options and resource constraints, necessitating a method to automatically determine and prioritize important images for efficient layout arrangement.
Innovation Solution
The solution involves analyzing pixel properties, such as luminance, to quickly differentiate between functional and non-functional images, applying specific layout rules to enhance visibility of functional images, including scaling, positioning, and z-order adjustments, without relying on complex image recognition algorithms, thereby minimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex image recognition algorithms are used to identify functional images, then the accuracy of image classification improves, but the resource consumption and processing time increase significantly
Solution Approach 1:
The patent segments the image analysis process into two distinct stages: a fast preliminary filtering stage using simple pixel property analysis (luminance, color saturation) to identify candidate functional images, and a more detailed analysis stage only for those candidates. This segmentation allows the system to achieve accurate classification while minimizing overall resource consumption by applying complex algorithms only when necessary.
Solution Approach 2:
The patent changes the analysis parameters from complex semantic image recognition to simple physical pixel properties (luminance values, color saturation). By transforming the classification criteria from high-level image understanding to low-level pixel statistics, the system achieves functional image identification with minimal computational resources while maintaining sufficient accuracy for presentation layout purposes.
2Manufacturing precision
If extensive user input is required to create visually appealing presentations, then the quality and customization of presentations improve, but the ease of operation deteriorates
Solution Approach 1:
The patent implements self-service by enabling the presentation software to automatically analyze uploaded images, classify them as functional or non-functional based on pixel properties, and apply appropriate layout rules without requiring user intervention. The system serves itself by making intelligent decisions about image placement, scaling, and positioning, thereby maintaining high presentation quality while minimizing user input requirements.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors image properties and layout effectiveness, automatically adjusting the arrangement of elements based on the classified importance of each image. This closed-loop approach allows the software to self-optimize the presentation quality without extensive user guidance, adapting to different image types and contexts automatically.
3Manufacturing precision
If intelligent decisions are made to optimize presentation design, then the visual appeal of presentations improves, but the processing time and computational load increase
Solution Approach 1:
The patent applies preliminary action by pre-classifying images into functional and non-functional categories using simple pixel property analysis before the actual layout arrangement process. This preliminary classification enables subsequent layout operations to proceed efficiently with predetermined rules, avoiding the need for complex real-time decision-making during the layout generation phase and thereby reducing overall processing time.
Data Source
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AI summary
A computer-implemented method for intelligently generating presentations, the method comprising the steps of: analysing the variation in colours of pixels in the digital image; and, if the variation is below a predetermined threshold, applying one or more rules to increase visibility of the digital image in the presentation.