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Title Visual-Semantic Graphs: Using Queries to Reduce the Semantic Gap in Web Image Retrieval
Authors Bárbara Poblete, Benjamin Bustos, Marcelo Mendoza, Juan Manuel Barrios
Publication date 2010
Abstract We explore the application of a graph representation to model similarity
relationships that exist among images found on the Web. The resulting
similarity-induced graph allows us to model in a unified way different types
of content-based similarities, as well as semantic relationships.
Content-based similarities include different image descriptors, and semantic
similarities can include relevance user feedback from search engines. The
goal of our representation is to provide an experimental framework for
combining apparently unrelated metrics into a unique graph structure, which
allows us to enhance the results of Web image retrieval. We evaluate our
approach by re-ranking Web image search results.
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Pages 1553-1556
Conference name ACM International Conference on Information and Knowledge Management
Publisher ACM Press (New York, NY, USA)
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