Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
405780 | Neurocomputing | 2016 | 7 Pages |
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
Authors
Yuanfeng He, Yuanxi Li, Jiajia Lei, C.H.C Leung,