Automated Web Page Generation via Image Aesthetic Analysis

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Solution Overview

Problem

Laypeople lack the expertise to create aesthetically pleasing web pages due to the complexity of professional design tools, resulting in visually unappealing content that fails to effectively engage users.

Innovation Solution

A computer-implemented method for generating web content that analyzes the aesthetic qualities of selected images to determine a color palette and composition theme, estimating a predicted click-through rate, and generating a page that is aesthetically pleasing and optimized for various devices, allowing both laypeople and professionals to create visually engaging web pages efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If professional design tools are used to create web pages, then aesthetic quality and visual appeal are improved, but device complexity and ease of operation deteriorate due to requiring expert knowledge

Engineering Contradiction:
Improveaesthetic qualityVSAvoidtool complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system performs automatic image analysis, color palette extraction, and layout generation without requiring user expertise. The computer analyzes the aesthetic qualities of images and automatically generates web page layouts, allowing users to create professional-quality content through simple operations.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system extracts color palettes and compositional parameters automatically from input images using image analysis algorithms. By converting visual aesthetic qualities into extractable parameters (color schemes, layout patterns), the system enables automated generation of aesthetically pleasing designs without manual adjustment.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If professional design tools are used to create web pages, then visual appeal is improved, but ease of operation worsens due to requiring expert knowledge of tools and design techniques

Engineering Contradiction:
Improvevisual appealVSAvoidease of use
Core Design Contradiction:
Manufacturing precisionVSEase of operation

Solution Approach 1:

The system performs automatic image analysis, color palette extraction, and layout generation without requiring user expertise. The computer analyzes the aesthetic qualities of images and automatically generates web page layouts, allowing users to create professional-quality content through simple operations.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system acts as an intermediary between the user's simple image selection and the complex web page design process. It automatically bridges the gap by analyzing images and generating appropriate layouts, eliminating the need for users to directly manipulate complex design tools.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Productivity

If automated image analysis is performed to determine color palette and theme, then productivity is improved, but device complexity increases due to advanced processing requirements

Engineering Contradiction:
Improvecontent creation speedVSAvoidprocessing complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system replaces manual design processes with automated computer-based image analysis and algorithmic layout generation. By substituting mechanical human analysis with computational algorithms for color extraction and compositional analysis, the system achieves high productivity while managing complexity through software automation.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9405734B2Image manipulation for web content
Publication Date: 2016.08.02 SITECORE USA INC
  • US9405734B2 patent drawing
  • US9405734B2 patent drawing
  • US9405734B2 patent drawing

AI summary

A web page or group of pages can be automatically generated based on images selected by a user. The images are analyzed for color and groups of colors for the page background and image framing are determined. Images are analyzed to determine the shapes of the images and the images are placed within appropriate shapes on a page on the web. Click-through rate can be estimated for images and this click-through rate used during the web page generation. Important sections are evaluated in the images and cropping may occur for the images on a page. Text and video can be part of the web page. Software applications can be accessed from the web page as well. The online web pages can be tailored for presentation on a mobile device.