教師資料查詢 | 類別: 期刊論文 | 教師: 顏淑惠 Yen Shwu-huey (瀏覽個人網頁)

標題:Robust News Video Text Detection Based on Edges and Line-deletion
學年99
學期1
出版(發表)日期2010/10/01
作品名稱Robust News Video Text Detection Based on Edges and Line-deletion
作品名稱(其他語言)
著者Yen, Shwu-Huey; Chang, Hsiao-Wei; Wang, Chia-Jen; Wang, Chun-Wei
單位淡江大學資訊工程學系
出版者Zographou: World Scientific and Engineering Academy and Society (W S E A S)
著錄名稱、卷期、頁數WSEAS Transactions On Signal Processing 6(1), pp.186-195
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.
關鍵字Information retrieval; Multiple frames integration; Video text; Text detection; Canny edge map; Black-white transition; Line-deletion
語言英文
ISSN1790-5052; 2224-3488
期刊性質國外
收錄於EI
產學合作
通訊作者Yen, Shwu-Huey; Chang, Hsiao-Wei; Wang, Chia-Jen; Wang, Chun-Wei
審稿制度
國別希臘
公開徵稿
出版型式紙本
相關連結
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