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《Journal on Communications》 2009-02
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Video text extraction method based on clustering

SONG Yan1,2,3,LIU An-an1,2,ZHANG Yong-dong1,2,LIN Shou-xun1,2 (1.Laboratory of Advanced Computing Research,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China;2.Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China;3.Graduate University of Chinese Academy of Sciences,Beijing 100190,China)  
A new method for video text extraction in order to overcome the weakness of existing methods was proposed.First,multi-scale text location and text region refinement in text location step were adopted.Then an improved K-means clustering method was used to segment text regions to obtain a binarized image in text segmentation step.Finally,OCR software was used to recognize text.The results of experiment show that the method can effctively used in sensitive words detection in videos from the Internet.
【Fund】: 国家重点基础研究发展计划(“973”计划)基金资助项目(2007CB311100);; 国家高技术研究发展计划(“863”计划)基金资助项目(2007AA01Z416);; 国家自然科学基金资助项目(6077356);; 北京市科技新星计划基金资助项目(2007B071)~~
【CateGory Index】: TP391.41
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