Trend of Content-Based Image Retrieval on the Internet

Aimed at the application requirements of content-based 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.