Image-Based Translation Editor for Unrecognized Webcomic Text
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a lack of a systematic translation process for webcomics that allows for customized translation into various languages for global consumption, especially for text not recognized in the content episodes.
Innovation Solution
A method and system for translating content that includes a translation editor with separate areas for inputting and outputting translated text, capable of capturing and translating text from an image file, and supporting translation tasks for text not recognized in the content episodes, such as dialogue, sound effects, and character emotions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If text extraction is performed only on recognized text in content episodes, then translation accuracy for standard text is maintained, but translation completeness deteriorates because text not recognized in episodes (such as dialogue, sound effects, character emotions) cannot be translated
Solution Approach 1:
The system performs preliminary text extraction from image files before translation. By extracting text in advance from the source content images and storing it separately, the system ensures that all text elements (including those not traditionally recognized in episodes) are captured and prepared for translation, preventing any loss of information during the translation process.
Solution Approach 2:
The patent introduces an intermediary text extraction layer that operates between the image file and the translation process. This intermediary component extracts all text elements from the source image, including dialogue, sound effects, and character emotions, and presents them as translatable units, thereby bridging the gap between image processing and translation.
2Productivity
If a systematic translation process is established for webcomics, then translation efficiency and consistency are improved, but device complexity increases due to the need for multiple components including image processing, text extraction, and translation modules
Solution Approach 1:
The translation system is segmented into distinct functional modules: an image processing unit for loading and managing source images, a text extraction unit for identifying and extracting text elements, a translation unit for converting text between languages, and a result integration unit for combining translated text with original images. This segmentation allows each module to specialize in specific tasks, improving overall efficiency while keeping individual module complexity manageable.
Solution Approach 2:
The system employs a universal image file handling mechanism that can process various types of content (webcomics, music, e-books, videos, images) through the same basic workflow of image loading, text extraction, translation, and result integration. This multi-functionality reduces the need for separate specialized systems for different content types, thereby managing overall system complexity.
3Adaptability or versatility
If customized translation for each country is performed, then user engagement and cultural relevance are improved, but translation time and processing resources increase significantly
Solution Approach 1:
The system performs preliminary text extraction and organization of text elements from source images before the translation process begins. By pre-extracting and structuring all text data (dialogue, sound effects, character emotions) into a manageable format, the actual translation process can proceed more quickly and efficiently, reducing overall translation time while maintaining customization for different countries and languages.
Data Source
AI summary
A method of translating content may include receiving an image file of a translation target related to an episode of content based on a first language, extracting text corresponding to the first language from the image file, and providing a translation editor for the image file so that a translated version of the episode is generated on the basis of a second language using the image file. The translation editor may include a first area in which the image file of the translation target is output, and a second area for receiving a translated language in the second language for the extracted text as input. In response to a control command for image capturing, at least a portion of the output image file is received through the first area, an input window for receiving a translated language for the captured image as input is generated in the second area.