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17 January 2005 Techniques and applications of content-based image retrieval on the Internet
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Abstract
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.
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Dingyuan Xia and Shuyu Liu "Techniques and applications of content-based image retrieval on the Internet", Proc. SPIE 5670, Internet Imaging VI, (17 January 2005); https://doi.org/10.1117/12.593575
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