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Lecture Notes in Computer Science
This paper provides a novel Web image clustering methodology based on their associated texts. In our approach, the semantics of Web images are firstly represented into vectors of term-weight pairs. In order to correctly correlate terms to a Web image, the associated text of the Web image is partitioned into semantic blocks according to the semantic structure of the text with respect to the Web images. The weight of a term in the vector of an embedded Web image is calculated with respect to bothdoi:10.1007/11575801_30 fatcat:pdl2334v6zeufjgpcs34teg76q