A multi-expert based framework for automatic image annotation
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- 作者：Abbas Bahrololoum a.bahrololoum@uk.ac.ir" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Hossein Nezamabadi-pour ; nezam@uk.ac.ir" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Automatic image annotation ; Feature space ; Concept space ; Prototype ; Semantic gap ; Fusion
- 刊名：Pattern Recognition
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：61
- 期：Complete
- 页码：169-184
- 全文大小：2056 K
文摘
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A multi-expert framework for AIA is presented that uses the idea of prototypes.
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A solution to the problem of choosing effective subset of feature spaces is presented.
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How to fuse labels suggested by different experts is another contribution of paper.
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An implementation of proposed method containing many experimentation is performed.