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- W1487376154 abstract "Making the semantic description and automatic semantic annotation of the image which contains rich contents and intuitive expression is a research subject that is challenging. It is a key technology of realizing fast and effective image retrieval and a research focusing on cross media mining. Also it has great application value in various kinds of fields. This paper studies and discusses image media semantic description and automatic semantic annotation. By extracting SIFT visual features, we make the description of the image semantic, then establish the association between local image visual features and semantic keywords, and finally realize the image to the text feature mapping and the automatic semantic annotation. The simulation experiment result shows that this method can accomplish the image automatic semantic annotation efficiently, and also it can reach a higher accuracy." @default.
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- W1487376154 date "2010-10-01" @default.
- W1487376154 modified "2023-09-26" @default.
- W1487376154 title "Image semantic description and automatic semantic annotation" @default.
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- W1487376154 doi "https://doi.org/10.1109/iccas.2010.5669742" @default.
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