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基于ICA算法的视频字幕检测与定位
引用本文:王国红,王喆,杨永民,陈长兴.基于ICA算法的视频字幕检测与定位[J].西安石油大学学报(自然科学版),2011,26(3):100-103,12.
作者姓名:王国红  王喆  杨永民  陈长兴
作者单位:1. 空军工程大学理学院,陕西西安,710061
2. 西安通信学院,陕西西安,710106
3. 空军工程大学电讯工程学院,陕西西安,710077
基金项目:陕西省电子信息系统综合集成重点实验室基金资助
摘    要:研究了独立成分分析法(ICA)在视频序列处理中的应用,提出了一种新的基于ICA算法的视频字幕检测与定位方法,该算法采用了小波变换来提取独立分量.仿真实验结果表明,与传统方法相比,该方法能够有效消除背景信息,提高字幕定位的精度,具有更强的鲁棒性.

关 键 词:视频字幕  字幕检测  字幕定位  独立成分分析

Detection and location of the text in video based on ICA algorithm
WANG Guo-hong,WANG Zhe,YANG Yong-min,CHEN Chang-xing.Detection and location of the text in video based on ICA algorithm[J].Journal of Xian Shiyou University,2011,26(3):100-103,12.
Authors:WANG Guo-hong  WANG Zhe  YANG Yong-min  CHEN Chang-xing
Institution:WANG Guo-hong1,WANG Zhe2,YANG Yong-min3,CHEN Chang-xing1(1.College of Sciences,Air Force Engineering University,Xi'an 710061,Shaanxi,China,2.Xi'an Communications Institute,Xi'an 710106,3.College of Telecommunication Engineering,China)
Abstract:Independent Component Analysis(ICA)is applied to video frame sequence processing.A novel scheme for the detection and location of the text in video based on ICA algorithm is proposed.The new algorithm uses wavelet transformation to extract independent components.The simulation results prove that compared with the conditional algorithm,the algorithm can eliminate the background information and improve the precision of the caption location.Thus the algorithm is stronger robustness.
Keywords:text in video  caption detection  caption location  independent component analysis  
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