Trend of Content-based Image Retrieval on the Internet
Aimed at the application requirements of contentbased image retrieval technology on the Internet, firstly, some key techniques and application ways are researched, then the principles and methods how to reduce the gap between low-level visual features and high-level semantic description of image are analyzed for improving the efficiency and precision of image retrieval. At last, taken several of core support techniques as the guiding, such as efficient mining of great amount of image-text information on the Internet, fusion of multi-modes features of image and easy implementation of interactive relevance feedback between human and computer, the trend and solution of content-based image retrieval on the Internet are discussed.
Dingyuan Xia Pian Fu Chaobing Huang Yu Wang
School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China School of Inf School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
国际会议
The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)
西安
英文
733-738
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）