%0 Journal Article
%T Design and Implementation of Semantic Concept Based Video Retrieval System<br>基于语义概念的视频检索系统的设计与实现
%A LIU An-wen
%A ZHI Cheng
%A ZHANG Rui
%A SHENG Xiao-jie
%A YANG Xiao-kang
%A <br>刘安文
%A 支琤
%A 张瑞
%A 盛骁杰
%A 杨小康
%J 中国图象图形学报
%D 2008
%I 
%X This paper introduces the design and implementation of a semantic concept based video retrieval system,which consists of shot boundary detection and key frame extraction subsystem,semantic concept detection subsystem and user retrieval subsystem. First,digital video is divided into hierarchical structure for retrieval. Then,efficient low level feature of key frames are extracted. Support Vector Machine is used to detect concepts in such key frames,and the video retrieval is based on those concepts. In the procedure of concept detection,we take a linearly weighted fusion method based on validation precision to improve the average precision. Experiments show that the Mean Average Precision of our system is as high as the best one of all submissions.
%K video retrieval
%K support vector machine (SVM)
%K concept detection
%K fusion<br>视频检索
%K 支持向量机
%K 概念检测
%K 融合
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=B16958598B0CDD3F699ABA1A12767703&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=F3090AE9B60B7ED1&sid=A944AA21E176D751&eid=16BA074CCB7B2129&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=5