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- W2956791609 abstract "Faced with a deluge of video data, automatic subtitle text detection and recognition using computer vision technology can be extremely useful. This paper proposes a real-time character-level subtitle detector, which detects subtitle text with high accuracy and efficiency in a single forward pass. It also provides an efficient method to build dataset aimed at video subtitle text detection problem. This paper's method can achieve both 99.5% precision and recall for text detection, and the whole detection and recognition process can achieve 45 fps." @default.
- W2956791609 created "2019-07-23" @default.
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- W2956791609 date "2019-06-01" @default.
- W2956791609 modified "2023-10-18" @default.
- W2956791609 title "A Real-time Character-level Subtitle Detector based on Faster R-CNN" @default.
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- W2956791609 doi "https://doi.org/10.1088/1742-6596/1237/2/022100" @default.
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