Large-scale cross-media retrieval of wikipediaMM images with textual and visual query expansion | |
Zhou, Zhi ; Tian, Yonghong ; Li, Yuanning ; Huang, Tiejun ; Gao, Wen | |
2009 | |
英文摘要 | In this paper, we present our approaches for the WikipediaMM task at ImageCLEF 2008. We first experimented with a text-based image retrieval approach with query expansion, where the extension terms were automatically selected from a knowledge base that was semi-automatically constructed from Wikipedia. Encouragingly, the experimental results rank in the first place among all submitted runs. We also implemented a content-based image retrieval approach with query-dependent visual concept detection. Then cross-media retrieval was successfully carried out by independently applying the two meta-search tools and then combining the results through a weighted summation of scores. Though not submitted, this approach outperforms our text-based and content-based approaches remarkably. ? 2009 Springer Berlin Heidelberg.; EI; 0 |
语种 | 英语 |
DOI标识 | 10.1007/978-3-642-04447-2_99 |
内容类型 | 其他 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/327449] ![]() |
专题 | 信息科学技术学院 |
推荐引用方式 GB/T 7714 | Zhou, Zhi,Tian, Yonghong,Li, Yuanning,et al. Large-scale cross-media retrieval of wikipediaMM images with textual and visual query expansion. 2009-01-01. |
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