Adaptive Video Caption Detection and Extraction Method Based on Color Filtering Principle | Zendy

Peng Ren | Zendy; Genlin Zhao | Zendy; Liu Yong-jun | Zendy

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Adaptive Video Caption Detection and Extraction Method Based on Color Filtering Principle

Author(s) -

Peng Ren,

Genlin Zhao,

Liu Yong-jun

Publication year - 2021

Publication title -

mobile information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.346

H-Index - 34

eISSN - 1875-905X

pISSN - 1574-017X

DOI - 10.1155/2021/7376572

Subject(s) - computer science , artificial intelligence , rgb color model , computer vision , filter (signal processing) , pixel , noise (video) , image (mathematics)

Based on the principle of color (RGB) filtering, an improved adaptive video caption detection and extraction method is proposed. Firstly, the principle of the color filtering algorithm used in the video caption detection and extraction method is analyzed, and then the algorithm is improved adaptively according to the caption pixel size to filter the noise. Finally, experiments verify the effect of this method in extracting subtitles from video. The experimental results show that the accuracy of detecting and extracting subtitles in color video is as high as 99.3%.

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