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一种快速有效的相似视频检索方法
作者姓名:曹政  朱明
作者单位:中国科学技术大学自动化系 中国科学院网络传播系统与控制重点实验室 网络传播系统与控制安徽省重点实验室,合肥 230027
基金项目:国家863计划项目(2008AA01Z408)和国家自然科学基金(60975045)资助 
摘    要:提出了一种新的相似视频快速检索方法.根据视频的时空分布统计得到图像特征码和视频单元,通过统计视频单元数量度量视频相似性.为了适应可扩展计算的需要,提出了基于聚类索引表的检索方法.通过对大规模数据库的查询测试证明该相似性检索算法快速有效.

关 键 词:相似视频检索  图像特征码  聚类索引表  时空分布特征  
收稿时间:2009-10-14
修稿时间:2009-12-29

A fast and effective similar video search method
Authors:CAO Zheng  ZHU Ming
Institution:Department of Automation, University of Science and Technology of China, The Key Lab of Network Communication System & Control, Chinese Academy of Sciences,The Key Lab of Network Communication System & Control, Anhui Province, Hefei 230027, China
Abstract:A novel fast video similarity search approach was proposed. Image characteristic code and video component were computed based on the statistics of video spatial-temporal distribution. Video similarity was measured by computing the number of video components. An efficient search method based on clustering index table was proposed for the requirement of scalable computing. The query test results from large video database show that the proposed video similarity search algorithm is efficient and effective.
Keywords:video similarity search  image characteristic code  clustering index table  spatial-temporal distribution  
本文献已被 CNKI 等数据库收录!
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