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• W2000806578 abstract "Large number of images are embedded into web pages and it is difficult to map the semantics of the images using available text in documents. Retrieval systems are designed for ranking and retrieving images using various ranking mechanisms. These ranking mechanisms use the text present in the HTML document and this alone may not be sufficient for improving precision of retrieval. In this paper, the text present in the" @default.
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• W2000806578 date "2014-01-01" @default.
• W2000806578 modified "2023-09-27" @default.
• W2000806578 title "Ranking images in web documents based on HTML TAGs for image retrieval from WWW" @default.
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• W2000806578 doi "https://doi.org/10.1504/ijcistudies.2014.062730" @default.
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