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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Extracting Text Information for Content-Based Video Retrieval
verfasst von : Lei Xu, Kongqiao Wang
Erschienen in: Advances in Multimedia Modeling
Verlag: Springer Berlin Heidelberg
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In this paper we present a novel video text detection and segmentation system. In the detection stage, we utilize edge density feature, pyramid strategy and some weak rules to search for text regions, so that high detection rate can be achieved. Meanwhile, to eliminate the false alarms and improve the precision rate, a multilevel verification strategy is adopted. In the segmentation stage, a precise polarity estimation algorithm is firstly provided. Then, multiple frames containing the same text are integrated to enhance the contrast between text and background. Finally, a novel connected components based binarization algorithm is proposed to improve the recognition rate. Experimental results show the superior performance of the proposed system.