Browsing System Text Extraction for Image Translation
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Solution Overview
Problem
Existing banner systems fail to transform characters or character strings displayed as images during operations like translation, as they do not account for image-based content within documents.
Innovation Solution
A browsing system comprising a terminal and an image server that extracts additional information from text character strings, generates new image location information, and overwrites existing image information to integrate transformed characters or character strings into images, ensuring seamless transformation of image content during document transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If banner systems display characters or character strings as images, then visual presentation is improved, but transformation capability deteriorates
Solution Approach 1:
The system segments the banner content into two distinct parts: image data and text data. The image portion maintains visual presentation quality while the text portion is extracted and made available for transformation operations. This segmentation allows the text to be transformed independently while the image serves as a visual reference.
Solution Approach 2:
The system introduces an intermediary text extraction mechanism that bridges between the image-based banner display and the transformation requirement. The extracted text acts as a mediator that can be transformed and then re-integrated, allowing both visual presentation and transformation capability to coexist.
2Adaptability or versatility
If text is extracted and re-integrated into images, then transformation capability is improved, but processing complexity increases
Solution Approach 1:
The system performs preliminary text extraction from the banner image during the initial loading phase, before any transformation operations are required. This advance preparation stores the text data in an accessible format, so that when transformation is needed, the text is already ready to be processed without requiring complex real-time extraction from images.
3Adaptability or versatility
If image location information is overwritten with server references, then adaptability is improved, but information loss increases
Solution Approach 1:
The system uses the image server as an intermediary that stores and manages both the image data and the associated text data. By referencing the image server, the system maintains adaptability to access and transform text while the server preserves the original image location information and associates it with the extracted text, preventing information loss.
Data Source
AI summary
A browsing system (1) comprises a terminal (100) for extracting additional information specifying characters or character strings that should be added to an image, from a document or text character strings that are to be transformed contained in a program specified by that document. In addition, the browsing system (1) comprises an image server (200) that receives an image request and sends as an image response an image to which are added characters or character strings specified by the additional information designated by an image parameter specified in the received image request.