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《Journal of Shanghai Jiaotong University》 2014-05
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A Video Shot Segmentation Method Based on a Two-Stage Support Vector Machine Classifier

YULu;QIAO Rui-ping;HU Yu-ping;ZHAO Jing;State Key Laboratory of Astronautic Dynamics;School of Electronic and Information Engineering,Xi'an Jiaotong University;  
A video shot segmentation method based on a two-stage support vector machine(SVM)classifier was proposed.In the first stage,the feature vectors were generated by using the segmented video histogram distance,combining the sliding window with the trap method.Then,the subsegments containing shot boundaries were filtered out by using the SVM classifier.In the second stage,the feature vectors were obtained by histogram distance between different spacing of the frames and time window.The shot detection was implemented by binary tree SVM classification strategy.Experimental results show that the detection results can be improved on both abrupt and gradual shot boundary significantly by the proposed method.
【Fund】: 国家自然科学基金青年科学基金项目(61102082);; 宇航动力学国家重点实验室开放基金项目(2013ADL-DW0302)
【CateGory Index】: TP391.41
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Chinese Journal Full-text Database 2 Hits
1 Xue Ling Xiong Zhang Ouyang Yuanxin Zhong Lin(School of Computer Science and Technology,Beihang University,Beijing 100083);Shot Boundary Detection Using a Cascade Classifier[J];Journal of Computer-Aided Design & Computer Graphics;2008-05
2 CHAO Juan1,SUN Tan-feng1,2,JIANG Xing-hao1,2(1.School of Information Security Engineering,Shanghai Jiaotong University,Shanghai 200240,China;2.Shanghai Information Security Management and Technology Research Key Lab,Shanghai 200240,China);A Video Shot Segmentation Algorithm Based on Dual-detection Model[J];Journal of Shanghai Jiaotong University;2011-10
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Chinese Journal Full-text Database 3 Hits
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