Web Content Automated Generation System Using Image Analysis
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Solution Overview
Problem
Current website creation methods, especially those using templates, are inefficient due to the time-consuming process of applying text, images, and videos, leading to imbalances and requiring fine adjustments, which further deteriorate work efficiency and result in a higher burden on website creators.
Innovation Solution
A web content automated generation system that acquires and analyzes existing website data to generate source code for creating web content without manual editing of programming languages, using a crawler to search for websites, label content, and generate source code based on teacher data for efficient web content creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If templates are used for website creation, then ease of operation is improved, but productivity deteriorates due to time-consuming application of text, images, and videos
Solution Approach 1:
The system automatically generates website source code by capturing the display screen and analyzing it, eliminating the need for manual application of materials to templates. The computer performs the work itself by converting visual layout into HTML code, thereby improving productivity while maintaining ease of operation.
Solution Approach 2:
The manual mechanical process of applying text, images, and videos to templates is replaced by an automated optical-mechanical system that captures screen displays and converts them into source code through image processing and pattern recognition, significantly improving creation efficiency.
2Ease of operation
If templates are used for website creation, then ease of operation is improved, but manufacturing precision deteriorates due to imbalances and fine adjustments required
Solution Approach 1:
The system automatically analyzes the captured display screen to determine the precise layout structure, text content, and element positions, then generates balanced HTML code without requiring manual fine-adjustment. This self-service approach ensures high layout precision while maintaining operational simplicity.
Solution Approach 2:
The system captures the actual display output and uses it as feedback to generate accurate source code that reproduces the intended layout precisely. This feedback loop ensures that the generated code maintains proper balance and structure without manual intervention.
3Productivity
If automated generation is implemented, then productivity is improved, but device complexity increases due to multiple acquisition and processing units
Solution Approach 1:
The computer functions as a multi-functional device that integrates display output, image capture, pattern recognition, and code generation capabilities into a single system. This universal approach achieves high productivity without requiring multiple separate complex devices.
Solution Approach 2:
The system merges the display function, capture function, analysis function, and code generation function into an integrated workflow within a single computer system, reducing overall device complexity while maintaining high automation and productivity.
Data Source
AI summary
Provided is a web content automated generation system capable of simply creating web content without editing a programming language. A web content automated generation system includes an image data acquisition unit configured to acquire web content as one piece of image data, a source code acquisition unit configured to acquire a source code including HTML data constituting the web content, a learning unit configured to acquire teacher data by analyzing the image data and the source code, an image data registration unit configured to input web content to be created as one piece of image data, an analysis unit configured to analyze a degree of relevance between the input image data and teacher data stored in teacher data storage unit, and a content source code generation unit configured to generate content source code regarding the input image data on the basis of a source code of the teacher data having a high degree of relevance analyzed by the analysis unit.