The video subtitle recognition technology of Oulu Translation Plugin uses a deep learning framework to achieve a real-time recognition accuracy of up to 95%. The system can intelligently process closed captions (CC) and open captions of various video platforms, supporting mainstream video websites such as Netflix and YouTube. Technical tests show that the translation delay is controlled within 1.2 seconds in a standard news broadcasting scenario with a speech rate of 140 words/minute.
In terms of implementation principle, the system first captures text elements in video frames by OCR technology, then analyzes the contextual relationship by using time-sequential convolutional neural network, and finally calls the multi-engine translation interface to generate subtitles in the target language. Typical application scenarios include: international students watching videos of professional classes to get bilingual comparison; cross-border e-commerce sellers analyzing foreign product evaluation videos; language lovers reading movie dialogues to practice pronunciation.
Compared with traditional subtitle translation tools, the breakthrough features of this function are: automatically matching the video timeline to keep the sound and picture synchronized; supporting customized terminology library to ensure the accuracy of professional content; and providing bilingual cross-referencing mode to facilitate learning. These features make it the most complete browser-side video translation solution on the market today.
This answer comes from the articleOulu Translation Plug-inThe
