Automated Content Creation from Semantic File Analysis
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Solution Overview
Problem
Existing methods for creating contents require significant manual effort to understand and arrange multiple files, and generative AI systems lack clear parameters for content creation, necessitating additional manpower for prompt input.
Innovation Solution
A method and system that utilize a large multi-modal model and large language model to automatically identify output contents types, create prompts, and generate contents by acquiring semantic information from a contents set, including user journey maps and summary videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a worker manually creates contents by understanding and arranging multiple files, then the content creation can be completed with human judgment and quality control, but it takes a considerable amount of time and high-cost manpower
Solution Approach 1:
The patent introduces an automated content analysis system that acts as an intermediary between the input files and the content generation process. This system automatically extracts semantic information from multiple files, identifies their relationships, and structures them for content creation, eliminating the need for manual file understanding while maintaining quality through systematic processing
Solution Approach 2:
The patent replaces the manual mechanical process of reading, understanding, and arranging files with an automated computational system. The system uses algorithms to extract semantic information, determine file relationships, and organize content structure, substituting human cognitive labor with automated information processing
2Productivity
If generative AI is used to create contents automatically, then the time cost is reduced, but parameters for content creation are unclear requiring additional manpower to create prompts
Solution Approach 1:
The patent performs preliminary analysis of the input files to extract semantic information and determine content structure before the actual content generation. This pre-processing step automatically identifies what content should be created and how to structure it, so that when the generative AI is invoked, clear parameters and prompts are already prepared based on the analyzed file relationships
Solution Approach 2:
The system enables the content creation process to be self-sufficient by automatically analyzing input files, determining appropriate output content types, and generating suitable prompts without requiring external human intervention. The system serves itself by converting unstructured files into structured generation parameters autonomously
3Measurement precision
If multiple files are processed manually to understand their content and arrange them chronologically, then the content structure can be accurately determined, but the process becomes complex and time-consuming
Solution Approach 1:
The patent transforms the complex task of manual file analysis into a standardized parameter extraction process. The system automatically identifies and extracts key parameters from each file (semantic information, timestamps, relationships) and uses these parameters to determine content structure, converting a complex qualitative judgment process into a systematic quantitative analysis
Data Source
AI summary
A method and system for creating contents automatically is provided. A computer program 1500 according to an embodiment may include instructions for performing steps of acquiring semantic information on a contents set composed of a plurality of contents, and inputting a prompt automatically created using the semantic information on the contents set and at least some of the plurality of contents into the large multi-modal model to acquire output contents related to the plurality of contents.