Techniques and applications of content-based image retrieval on Internet

Aimed at the limitations of existing keywords-based image search engines on Internet, in this paper, a set of solution based on vision features image search engine is presented. At first, referring to the universal system design norm provided in the MPEG-7, the methods for image features description, extraction and index, high effect algorithms for image features similarity measure and fast retrieval are deep researched, and a new representation combined wavelet with relative moments is given. Then, the advantages of artificial intelligence, data mining and optimal information search strategy on Internet are availably used for constructing a prototype system based on vision features image search engine. The experimental results show that the solution is reasonable and feasible.