Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Data Acquisition and Processing》 2011-05
Add to Favorite Get Latest Update

Video Semantic Concept Detection Based on Evidence Theory

Wan Jianping,Peng Tianqiang,Li Bicheng(Institute of Information Engineering,Information Engineering University of PLA,Zhengzhou,450002,China)  
Video semantic concept detection is a prerequisite to solve the 'emantic gap' problem and realize semantic-based video retrieval.A video semantic concept detecting method based on the evidence theory is proposed.Firstly,features including grid color moment,wavelet texture and edge direction histogram are extracted from the key frames of video shots.Then,for each type of feature,an SVM model is trained.Thirdly,by analyzing the generalization error of each SVM model,a discounting coefficient method is implemented to modify the classification results of these models.Finally,these modified results are fused with an evidence fusion equation,and the fused result is regarded as the final semantic concept detection result.Experimental results show that the new method has improved the detection accuracy and outperforms the traditional linear classifier fusion method.
【Fund】: 国家自然科学基金(60872142)资助项目
【CateGory Index】: TP391.41
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 1 Hits
1 Li Bicheng 1) Wang Bo 1) Wei Jun 1) Qian Cengbo 2) Huang Yuqi 1) 1) Department of Information Science,University of Information Engineering Zhengzhou 450002,P.R.China 2) Institute of Surveying and Mapping,University of Information E;An Efficient Combination Rule of Evidence Theory[J];Journal of Data Acquisition & Processing;2002-01
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 LI Jing-hui,LI Fang,DONG Peng,XIE Jun-jie(Dept.of Management Science,Naval University of Engineering,Wuhan 430033,China);Intensity Evaluation of Air Defense Firepower in Enemy Anti-Airborne Based on Evidence Theory[J];Ordnance Industry Automation;2008-10
2 TANG Xiao-juan, WU Gen-xiu (Institute of Mathematics and Informatics,Jiangxi Normal University, Nanchang 330027,China);The Improvement of Evidence Theory's Combination Rule[J];Journal of Jiangxi Normal University (Natural Sciences Edition);2004-04
3 WANG Yue,HAN Jing(School of Computer Science and Engineering,Chongqing University of Technology,Chongqing 400050,China);Application of Data Fusion Technology to Fire Detection[J];Journal of Chongqing University of Technology(Natural Science);2011-01
4 LIU Yi 1, GAO Xiao-guang 1, LU Guang-shan 2, GU Zhong-guo 3,LI Xiang-min 1 1. Institute of Electronic Engineering, Northwestern Polytechnical University, Xi’an 710072, China ; 2. Luoyang Institute of Electro-optical Equipment, Luoyang He′nan 471009, China; 3. Institute of Marine Engineering, Northwestern Polytechnical University, Xi’an 710072, China;Submarine Target Recognition Based on Multisensor Information Fusion[J];Journal of Transcluction Technology;2004-01
5 LIU Zhun-ga,CHENG Yong-mei*,PAN Quan,MIAO Zhuang(College of Automation,Northwestern Polytechnical University,X i'an 710072,China);Weight Evidence Combination for Multi-Sensor Conflict Information[J];Chinese Journal of Sensors and Actuators;2009-03
6 QIU Er-hui,XIE Jian,HUANG Jian-zhao(The Second Artillery Engineering College,Xi'an 710025,China);A combination method based on evidence preprocessing[J];Transducer and Microsystem Technologies;2010-12
7 WEI Yong-chao(Academy of Flight Technology and Safety,Civil Aviation Flight University of China,Guanghan 618307,China);An Improved D-S Evidence Combination Method Based on K-L Distance[J];Telecommunication Engineering;2011-01
8 LIANG Xu-rong1,YAO Pei-yang1,LIANG De-lei2 (1.The Telecommunication Engineering Institute,Air Force Engineering University,Xi'an 710077,China;2.Yangjun Central Institute,Laiyang 265224,China);Improved combination rule of evidence theory and its application in fused target recognition[J];Electronics Optics & Control;2008-12
9 LIU Jieli,HAN Yuanjie,DONG Yanjiao(School of Computer Science and Control,Guilin University of Electronic Technology,Guilin 541004,China);An Effective Combination Rule of Evidence Theory in Situation Assessment[J];Electronics Optics & Control;2009-10
10 WANG Yun-liang (Electronic Engineering Institute of PLA,Hefei 230037,China);A New Evidence Combination Method based on Weight Coefficients[J];Electronic Information Warfare Technology;2007-05
China Proceedings of conference Full-text Database 4 Hits
1 Ma Yong-yi~1 Shen Huai-rong~2 Peng Ying~1 (1.Company of Postgraduate Management,the Academy of Equipment Command & Technology,Beijing,101416) (2.Department of Space Equipment,the Academy of Equipment Command & Technology,Beijing,101416);A Review of Modification Methods of D-S Evidence Theory[A];[C];2010
2 XU Yajie,CHEN Feng,ZHANG Xu Department of Automation University of Science and Technology of China Hefei,China 230027 ZHANG Tong Shuang China Satellite Maritime Tracking and Controlling Departm ent Jiangyin,Jiangsu,China 214400;Weighted D-S combination rule based comprehensive evaluation of water quality[A];[C];2010
3 Jun-wei Li,Yong-mei Cheng,Shao-wu Zhang,Yan Liang School of Automation,Northwestern Polytechnical University,Xi'an,710072;Research of Combination Rule Based on Evidence Distance and Local Conflict Distribution[A];[C];2010
4 Yanzi Miao~(1,2),Xiaoping Ma~1,Jianwei Zhang~2 1.School of Information and Electrical Engineering,China University of Mining and Technology,Xuzhou,221008 2.TAMS Group,University of Hamburg,D-22527,Hamburg,Germany;Research on the Combination Rules of the D-S Evidence Theory and Improvement of Extension to Fuzzy sets[A];[C];2010
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 SUN Quan,YE Xiu qing,GU Wei kang(Institute of Information and Communication Engineering,Zhejiang University,Hangzhou 310027,China);A New Combination Rules of Evidence Theory[J];ACTA ELECTRONICA SINICA;2000-08
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved