Automated Image Visibility Rules for Mobile Presentation Generation

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Solution Overview

Problem

Existing presentation software requires substantial user input to create visually appealing layouts, which is impractical on mobile devices with limited input options and resources, necessitating a solution for quick and efficient presentation generation.

Innovation Solution

A computer-implemented method that analyzes pixel variations in digital images to determine functional vs. non-functional images, applying rules to increase visibility of important images, such as scaling, positioning, and z-ordering, to create visually appealing presentations with minimal user input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If presentation software automatically analyzes and arranges images with intelligent decisions, then visual appeal and image importance prioritization improve, but device power consumption increases

Engineering Contradiction:

Improveautomatic image arrangementVSAvoiddevice power consumption

Core Design Contradiction:

Extent of automationVSUse of energy by moving object

Solution Approach 1:

The patent segments the image analysis process into distinct functional stages: pixel variation analysis, functional image identification, and layout rule application. This segmentation allows the system to perform intelligent automation while managing computational load efficiently on mobile devices, balancing automation extent with power consumption constraints.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies partial action by implementing a simplified analysis approach that focuses on pixel variation properties rather than comprehensive image analysis. This partial analysis suffices to identify functional images and apply appropriate layout rules, achieving good visual results without the excessive computational power required for more thorough analysis methods.

Inventive Principle:

Principle #16Partial or excessive action

2Measurement precision

If comprehensive image analysis algorithms are used to determine functional images, then image importance detection accuracy improves, but processing time and computational resources increase

Engineering Contradiction:

Improveimage importance detectionVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent extracts only the essential property needed for image importance detection - pixel variation characteristics - rather than performing comprehensive image analysis. By taking out and analyzing only this specific property, the system achieves sufficient detection accuracy while dramatically reducing processing time and computational resource requirements compared to full image analysis algorithms.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent employs a lightweight, computationally inexpensive analysis method that uses simple pixel variation calculations instead of resource-intensive deep learning or complex computer vision algorithms. This disposable, low-cost approach provides adequate performance for mobile presentation software without requiring the heavy computational infrastructure of more sophisticated systems.

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS9330437B2Method for automatically generating presentation slides containing picture elements

Publication Date: 2016.05.03 MALIKIE INNOVATIONS LTD

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.