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- W1567502312 abstract "Automatic web image annotation is a practical and effective way for both web image retrieval and image understanding. In this paper, we proposed a search-based automatic web image annotation using latent visual and semantic analysis. At first, the semantic content of web images and visibility of the words are combined to compute the probability that the initial annotations are present in the images. And then, it is extended by using latent visual and semantic analysis to find the synonyms of initial annotations. The final rankings are estimated by using commercial image search engines by mining content-based correlation. Experiments conducted on real-world web images demonstrate the effectiveness of the proposed approach." @default.
- W1567502312 created "2016-06-24" @default.
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- W1567502312 date "2008-01-01" @default.
- W1567502312 modified "2023-09-27" @default.
- W1567502312 title "Search-Based Automatic Web Image Annotation Using Latent Visual and Semantic Analysis" @default.
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- W1567502312 doi "https://doi.org/10.1007/978-3-540-89796-5_95" @default.
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