| 基于核的监督非保局投影镜头边界检测 |
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| 引用本文： | 肖永良,夏利民. 基于核的监督非保局投影镜头边界检测[J]. 控制工程, 2011, 18(4): 512-514,534 |
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| 作者姓名： | 肖永良 夏利民 |
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| 作者单位： | 1. 中南大学信息科学与工程学院,湖南长沙410083;湖南财政经济学院信息管理系,湖南长沙410205
2. 中南大学信息科学与工程学院,湖南长沙,410083 |
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| 基金项目： | 高等学校博士学科点专项科研基金; 湖南省自然科学基金项目(05JJ30121); 湖南省科技计划项目(2009JT3006); 湖南省教育厅资助项目(08B011),湖南省教育厅教育科学项目(09C013) |
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| 摘 要： | 针对如何进一步提高镜头边界检测精度问题,提出了一种基于核的监督非保局(KSNLPP)投影视频镜头检测方法.在非保局投影(NLPP)中引入样本的类别信息,并利用核方法提升NLPP解决非线生问题的能力,提出了KSNLPP算法；在此基础上,将每个镜头视为一类,利用KSNLPP算法得到视频图像的投影矩阵,利用此投影矩阵对新的视...
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| 关 键 词： | 镜头边界 特征提取 监督学习 非保局投影 |
Shot Boundary Detection Based on a Kernel Supervised Non-Locality Preserving Projection |
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| XIAO Yong-liang,XIA Li-min. Shot Boundary Detection Based on a Kernel Supervised Non-Locality Preserving Projection[J]. Control Engineering of China, 2011, 18(4): 512-514,534 |
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| Authors: | XIAO Yong-liang XIA Li-min |
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| Affiliation: | XIAO Yong-liang1,2,XIA Li-min1(1.School of Information Science and Engineering,Central South University,Changsha 410083,China,2.Department of Information Management,Hunan College of Finance and Economics,Changsha 410205,China) |
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| Abstract: | Improving the precision of shot boundary detection is very important.This paper proposes a method on video boundary detection based on a kernel supervised non-locality preserving projection(KSNLPP).Firstly,by introducing the class information into non-locality preserving projection(NLPP) and using the kernel method to solve the limitation problem of the nonlinear separability for NLPP,we get the kernel supervised non-locality preserving projection(KSNLPP).Secondly,we gain the projection matrix of video feat... |
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| Keywords: | shot boundary feature extraction supervised learning non-locality preserving projections |
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