Article ID Journal Published Year Pages File Type
405780 Neurocomputing 2016 7 Pages PDF
Abstract

We study several semantic concept-based query expansion and re-ranking scheme and compare different ontology-based expansion methods in image search and retrieval. To improve the query expansion efficiency and accuracy, we employ the CYC knowledge base to generate the expansion candidate concepts, while filter and rank the expansion results by calculating concept similarities using the Semantic Relatedness Metrics. Using our knowledge-based query expansion in image retrieval, the efficiency and accuracy has been improved.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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