摘要
This paper presents results of a project that seeks to transform the low level features to high level of meaning. It extracts the low level features called as the representative colors from the images, and presents a new approach called word net to establish the link from the low-level feature vectors to the semantics. In order to improve the retrieval efficiency, the relevance feedback is also applied into the system. Experiments show the method is promising.
源语言 | 英语 |
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页(从-至) | 172-173+178 |
期刊 | Jisuanji Gongcheng/Computer Engineering |
卷 | 31 |
期 | 1 |
出版状态 | 已出版 - 5 1月 2005 |