Study for Cross-Media Retrieval Text Features Relationship

作     者：Wang Wei School of Computer Science and Engineering Southeast University 210096 Nanjing,Jiangsu,P.R.ChinaXu LiZhen School of Computer Science and Engineering Southeast University 210096 Nanjing,Jiangsu,P.R.ChinaDong Yisheng School of Computer Science and Engineering Southeast University 210096 Nanjing,Jiangsu,P.R.China 

会议名称：《2011 13th IEEE Joint International Computer Science and Information Technology Conference(JICSIT 2011)》

会议日期：2011年

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by Open Research Fund from Key Laboratory of Computer Network and Information Integration In Southeast University,Ministry of Education,China Supported by a Project of National 863 Plan of China under Grant No.2007AA04Z1066 The High Technology Project in Jiangsu Province 10th five-year plan 

关 键 词：cross media retrieval,multimedia retrieval, associate method,text feature relationship,associate relationship 

摘      要：Construct cross-media feature relationship properly is significant to query by song(QBS).In this paper the cross-media features relationship include three parts:text- based music features,text-based lyrics features and text-based picture features which relate with *** analysis what are the associated relationship among music,text-based lyrics and *** we design a cross-media text-indexing structure and propose a new associate approach that namedword linking matching.At the same times we improve the existing construction methods for these feature library in order to satisfactory the need of cross-media information *** experiment results show the feasibility of our study work for Our QBS system.