Video text extraction based on image regularization and temporal analysis

Video text extraction is the process of identifying embedded text on video, which is usually on complex background. This paper proposes a new approach to cope with this problem considering image regularization and temporal information. The former helps us to decrease the number of gray values in ord...

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Hauptverfasser:	de Jesus, Â M., Guimaraes, S. J. F., Kleber Goncalves do Patrocinio, Zenilton
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Character recognition complex background Detectors Image color analysis Image edge detection image regularization Image segmentation Optical character recognition software temporal analysis Text recognition Video text
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creator	de Jesus, Â M. Guimaraes, S. J. F. Kleber Goncalves do Patrocinio, Zenilton
description	Video text extraction is the process of identifying embedded text on video, which is usually on complex background. This paper proposes a new approach to cope with this problem considering image regularization and temporal information. The former helps us to decrease the number of gray values in order to simplify the image content, and the second one takes advantage of video text persistence in order to identify video segments ignoring text changes. According to our experiments, the proposed method presents better results than other. Moreover, we propose a post-processing step for improving the text results obtained by Otsu method.
doi_str_mv	10.1109/ISM.2011.55
format	Conference Proceeding
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Character recognition complex background Detectors Image color analysis Image edge detection image regularization Image segmentation Optical character recognition software temporal analysis Text recognition Video text
title	Video text extraction based on image regularization and temporal analysis
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