%0 Journal Article
%T A Video Retrieval System Framework Based on SVM<br>基于SVM的视频检索系统框架①
%A ZHAO Ying-Chuan
%A WANG Wan-Liang
%A JIANG Yi-Bo
%A <br>赵颖川
%A 王万良
%A 蒋一波
%J 计算机系统应用
%D 2010
%I 
%X Transformation from feature to semantic info is the important step of Video Retrieval. Based on the improved SVM procedure for Video Retrieval according to relevance feedback, reranking and BOOST, this paper proposes a framework. Using the data of TREC2007, the experimental result shows the framework has sufficient improvement in AP and MAP.
%K MPEG-7
%K content-based video retrieval (CBVR)
%K reranking
%K support vector machine (SVM)
%K relevance feedback<br>MPEG-7
%K CBVR
%K 结果排序
%K 支持向量机（SVM）
%K 相关反馈
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=44BAE70BF4DFFF4EC14485A74A17C14C&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=94C357A881DFC066&sid=4C100B7696CE9E24&eid=8575BEDA702C4B7C&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=4