Closed Caption Translation Apparatus Using Signal Segmentation
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Solution Overview
Problem
Current systems lack an efficient method for translating closed caption text from one language to another, limiting accessibility and understanding of audio or video content across language barriers.
Innovation Solution
A system and method that separates a combined video and closed caption signal, converts the closed caption text into an original text stream, translates it into a desired language, and inserts the translated text back into the video signal for display, utilizing a splitter, converter, translator, and combiner apparatus that can be standalone or embedded in devices like set-top-boxes or TVs, using software and processor-controlled logic to manage the translation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If closed caption text is translated from one language to another, then accessibility and understanding across language barriers is enhanced, but system complexity increases due to requiring separation, conversion, translation, and recombination of signals
Solution Approach 1:
The system segments the closed caption signal processing into distinct functional modules: a separator that extracts CC signals from video streams, a converter that transforms CC signals into text format, a translator that converts text between languages, and a combiner that reinserts translated text into the video signal. This modular segmentation enables multilingual accessibility while managing system complexity through organized functional decomposition.
2Productivity
If real-time translation of closed captions is implemented, then viewer comprehension is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary separation of closed caption signals from video streams and preliminary conversion of CC signals into text format before translation is needed. This advance preparation of the signal stream enables faster real-time translation processing by having the data ready in the appropriate format, reducing the overall processing time while maintaining translation speed.
3Measurement precision
If closed caption signals are separated and processed independently, then translation accuracy is improved, but device complexity increases due to additional processing components
Solution Approach 1:
The system extracts closed caption signals from the composite video stream and separates them into an independent processing path. This extraction allows the CC signals to be converted to text and translated with high accuracy without interference from the video signal processing. The translated text is then recombined with the original video stream, achieving precise translation while using standardized processing components that minimize overall system complexity.
Data Source
AI summary
In one embodiment, a method is provided that includes receiving a transmitted combined video and closed caption (CC) signal. The combined signal is separated into a CC signal and a video signal. The CC signal is converted into an original CC text stream. The method also includes translating the original CC text stream from a first language into a second language to from a translated CC text stream. In more specific embodiments, the method includes inserting each translated CC text stream into the video signal. The translated CC text can appear instead of the original CC text when the video signal is displayed.