%0 Journal Article
%T A New Interactive Video Retrieval Framework Using Semantic Matching<br>基于语义匹配的交互式视频检索框架
%A LI Hua-Bei
%A HU Wei-Ming
%A LUO Guan
%A <br>李华北
%A 胡卫明
%A 罗冠
%J 自动化学报
%D 2008
%I 
%X Content-based video retrieval (CBVR) has attracted increasing interest in recent years.In this paper,we propose a new interactive video retrieval framework using semantic matching.The main contributions are three-fold:1) We define a novel high-level feature named semantic-matching histogram (SMH) to reflect videos' semantic information. 2) We set up an unsupervised learning-based retrieval mechanism using the dominant set clustering for the sake of low on- line complexity and high retrieval efficiency.3) We establish a new interactive mechanism called semantic-based relevance feedback (SBRF) working together with SMHs to improve retrieval performances.Experimental results on a database of sports videos show the effectiveness and efficiency of the proposed framework.
%K Semantic-matching histogram (SMH)
%K unsupervised learning-based retrieval
%K semantic-based relevance feedback (SBRF)<br>语义匹配直方图
%K 基于非临督学习的检索机制
%K 基于语义的分支反馈
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=31649FBC9556D8BCD5439C835994D8EB&yid=67289AFF6305E306&vid=339D79302DF62549&iid=F3090AE9B60B7ED1&sid=F5C4DB540B02644F&eid=0522AC581E488FBF&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=15