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一种基于分布特点的口播帧识别算法

An Unsupervised Anchorperson Shot Detection Based on the Distribution Properties
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摘要 针对现有的大部分口播帧识别方法均缺乏通用性,提出一种基于口播帧分布特点、无须模板的检测算法。首先,视频流被切分为镜头集合并提取满足一定条件的候选镜头;其次,对相似镜头进行聚类;最后,研究每个类的分布特征。根据口播帧时间分布特征,检测出包含口播帧的聚类集合。实验表明,本文算法实用性强,应用范围广,准确率基本达到100%。 We propose a model-free anchorperson detection algorithm based on anchorperson distributing traits. First, news video is divided into shots from which candidate shots is selected. Secondly cluster algorithm is applied to the candidate shots to gather the similar shots. Finally we put the variance analysis to each cluster to detect the anchorperson shots. Experiments results show that our method has achieved excellent results in various news videos.
作者 高健 郭梦琦 沈辉 赵其杰
机构地区 上海大学机械工程及自动化学院自动化系
出处 《光电子．激光》 EI CAS CSCD 北大核心 2007年第6期717-720,共4页 Journal of Optoelectronics·Laser
基金 上海市选拔优秀青年教师专项基金资助项目(99030306025)
关键词 口播帧 无模板 分布特点 新闻视频 anchorperson model-free distributing traits news video
分类号 TP206.1 [自动化与计算机技术—检测技术与自动化装置]
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参考文献12

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二级参考文献19

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光电子．激光
2007年 第6期

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