信息与控制2011，Vol.40Issue(3)：381-386,6.DOI:10.3724/SP.J.1219.2011.00381
基于局部多核支持向量机的视频镜头边界检测
Video Shot Boundary Detection Based on Localized Multiple Kernel Support Vector Machine
摘要
Abstract
Video shot boundary detection approach based an localized multiple kemel support vector machine (L MKSVM) is proposed. Intermediate features are constructed by integrating local temporal-spatial information of video frames, and then video frames are split into boundary and non-boundary frames with L-MKSVM. In order to improve the detection precision of MKSVM based on global optimization, video frames are projected to Hashing subspace with local ity sensitive Hashing (LSH), and then L-MKSVM is constructed for each Hashing subspace with mukiple kemel leaming methodology. The synthetic minority over-sampling technique (SMOTE) is used to solve the imbalance problem of video boundary frames and non-boundary frames. The experimental results show that the introduced shot boundary detection approach can improve the precision and recall.关键词
镜头边界检测/多核学习/局部敏感哈希/支持向量机/SMOTE采样Key words
shot boundary detection/ multiple kemel learning/ locality sensitive Hashing/ SVM (support vector machine)/SMOTE (synthetic minority over-sampling technique) sampling分类
信息技术与安全科学引用本文复制引用
肖永良,夏利民..基于局部多核支持向量机的视频镜头边界检测[J].信息与控制,2011,40(3):381-386,6.基金项目
高等学校博士学科点专项科研基金资助项目(20090162110057) （20090162110057）
湖南省自然科学基金资助项目(05JJ30121) （05JJ30121）
湖南省科技计划资助项目(2009JT3006) （2009JT3006）
湖南省教育厅教育科学资助项目(09C2013). （09C2013）
