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Lecture Notes in Computer Science
In this paper, we explore the help of visual features to cross-language image retrieval. We propose an approach that transforms textual queries into visual representations. The relationships between text and images are modeled. Visual queries are constructed from textual queries using the relationships. The retrieval results using textual and visual queries are combined to generate the final ranked list. We conducted English monolingual and Chinese-English cross-language retrieval experiments.doi:10.1007/11519645_65 fatcat:vigdrkpeufdubbegcufud4kzcq