文献类型：期刊文献

中文题名：基于UniformLBP特征的镜头检测算法

英文题名：DETECTION OF VIDEO SHOT USING UNIFORMLBP FEATURE

作者：赵芳[1];马玉磊[1]

第一作者：赵芳

机构：[1]新乡学院计算机与信息工程学院

第一机构：新乡学院计算机与信息工程学院

年份：2015

卷号：32

期号：3

起止页码：145-150

中文期刊名：计算机应用与软件

外文期刊名：Computer Applications and Software

收录：CSTPCD;;CSCD:【CSCD_E2015_2016】；

语种：中文

中文关键词：镜头检测;归一化图像二值特征;图模型;主动学习;支持向量机分类器

外文关键词：Shot detection Uniform LBP Graph-model Active learning SVM classifier

摘要：首次将Uniform LBP特征引入镜头检测中,提出一种有效的镜头检测算法。算法的主要思想是:以Uniform LBP特征作为描述视觉信息的主要特征,利用图模型计算图像序列的特征差异信号,采用主动处理策略构造特征向量和选择训练数据,通过SVM分类器识别视频镜头。提出的算法以Trec Vid05实验数据为测试平台,通过与Trec Vid05的测试结果比较可以证明该算法不但对切变镜头检测有很好的实验结果,而且能更为有效地检测渐变镜头。
In this article,we propose an effective shot detection algorithm,and it is the first time to introduce Uniform LBP feature to shot detection. The main ideas of the algorithm are： First,it uses Uniform LBP feature as the principal feather to describe visual information.Secondly,it employs graph-model to calculate the feature difference signal of image sequences. Thirdly,it adopts active learning strategy to construct eigenvector and choose training data. Finally,it identifies the video shot boundary by SVM classifier. For the algorithm proposed in the paper,we use Trec Vid05 experimental dataset as the test platform,and through comparison it with the test result of Trec Vid05,it can prove that this algorithm not only has good experimental result on cut shot boundary detection,but can also more effectively detect the gradual shot transition case.