An image retrieval method of getting the high-level semantics from the low-level features

Yuli Shen, Jianfeng Ren, Lei Guo

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

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
页(从-至)172-173+178
期刊Jisuanji Gongcheng/Computer Engineering
31
1
出版状态已出版 - 5 1月 2005

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