Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Chongqing University of Posts and Telecommunications(Natural Science)》 2006-03
Add to Favorite Get Latest Update

Survey of image retrieving techniques

XIANG You-jun,XIE Sheng-li(Signal & Information Processing Laboratory,South China University of Technology,Guangzhou 510640,P.R.China)  
Research on visual information retrieval has recently witnessed a booming interest.The quality of an image retrieval system mainly depends on its veracity,speediness and efficiency for retrieving images.In this paper,the authors investigate various image retrieving techniques,such as content based image retrieval,semantic based retrieval in image databases,interactive image retrieval using relevance feedback,knowledge based image retrieval and so on.From evaluating them,the authors have presented the current challenges and future trends for visual information retrieval.
【Fund】: 国家自然科学基金项目(60274006);; 国家杰出青年自然科学基金项目(60325310);; 教育部跨世纪优秀人才基金资助项目
【CateGory Index】: TP391.3
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved