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• W2796152230 abstract "In this paper, we present a video text binarization algorithm using connected component (CC) level filtering. We develop a three-step algorithm: estimate the polarity of text, extract text/non-text CCs with a retinex filtering method, and filter out non-text components. The proposed non-text CCs filtering is considering CCs stroke width and contrast. We conducted experiments on subtitles in TV programs and movies. Experimental results showed that the method outperforms conventional methods in terms of a pixel-level accuracy and a character/word recognition rate." @default.
• W2796152230 created "2018-04-13" @default.
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• W2796152230 date "2018-01-01" @default.
• W2796152230 modified "2023-09-25" @default.
• W2796152230 title "Video text binarization using connected component level non-text filtering" @default.
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• W2796152230 doi "https://doi.org/10.23919/elinfocom.2018.8330658" @default.
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