Image Database Creation Through Automated Text-to-Image Generation
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Solution Overview
Problem
Establishing image databases from text files with image descriptions is labor-intensive and time-consuming, lacking effective automated solutions.
Innovation Solution
An image database establishing method that converts target text information into target images based on natural language processing and optical character recognition, storing these images to form an efficient database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual filtering, analysis and summarization of text files is performed to extract image information, then the image database can be established from text files, but intensive labors and man-hours are required
Solution Approach 1:
The patent replaces manual mechanical operations (filtering, analysis, summarization) with an automated computer-based system that uses text recognition and image generation technologies to convert text files into images, thereby eliminating intensive human labor while maintaining database establishment capability
Solution Approach 2:
The system enables text files to automatically generate corresponding images through automated processing pipelines including text recognition, image generation, and database storage, without requiring human intervention for each conversion step
2Loss of information
If manual processing of text files is used to create images, then image information can be extracted from text, but the process is time-consuming
Solution Approach 1:
The system performs preliminary automated text recognition and image generation processing on text files before they need to be used in the database, converting text to images in advance through automated pipelines, thereby eliminating time-consuming manual processing while ensuring image information is properly extracted
3Productivity
If automated text to image conversion is implemented, then database establishment efficiency is improved, but the system complexity increases
Solution Approach 1:
The automated system is divided into distinct functional modules including text recognition module, image generation module, and database storage module, allowing each component to be independently developed, tested, and optimized while working together to achieve high database establishment efficiency
Data Source
AI summary
An image database establishing method, a searching method, an electronic device and a storage medium. The method comprises: obtaining a target file which has target text information (S210); generating a target image corresponding to content expressed by the target text information based on the target text information (S220); and storing the target image to form an image database (S230). The above method solves the problem in the prior art that it is time-consuming and laborious to establish a database by manually filtering, analyzing and summarizing massive text files, and effectively improves the efficiency of establishing an image database.


