Robust News Video Text Detection Based on Edges and Line-deletion

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/59964

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题名:	Robust News Video Text Detection Based on Edges and Line-deletion
作者:	Yen, Shwu-Huey;Chang, Hsiao-Wei;Wang, Chia-Jen;Wang, Chun-Wei
贡献者:	淡江大學資訊工程學系
关键词:	Information retrieval;Multiple frames integration;Video text;Text detection;Canny edge map;Black-white transition;Line-deletion
日期:	2010-10
上传时间:	2011-10-05 22:30:56 (UTC+8)
出版者:	Zographou: World Scientific and Engineering Academy and Society (W S E A S)
摘要:	This paper presents a robust and efficient text detection algorithm for news video. The proposed algorithm uses the temporal information of video and logical AND operation to remove most of irrelevant background. Then a window-based method by counting the black-and-white transitions is applied on the resulted edge map to obtain rough text blobs. Line deletion technique is used twice to refine the text blocks. The proposed algorithm is applicable to multiple languages (English, Japanese and Chinese), robust to text polarities (positive or negative), various character sizes (from 4×7 to 30×30), and text alignments (horizontal or vertical). Three metrics, recall (R), precision (P), and quality of bounding preciseness (Q), are adopted to measure the efficacy of text detection algorithms. According to the experimental results on various multilingual video sequences, the proposed algorithm has a 96% and above performance in all three metrics. Comparing to existing methods, our method has better performance especially in the quality of bounding preciseness that is crucial to later binarization process.
關聯:	WSEAS Transactions On Signal Processing 6(1), pp.186-195
显示于类别:	[資訊工程學系暨研究所] 期刊論文

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