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基于多特征融合的图像自动标注

Automatic Image Annotation Based on Multi Feature Fusion
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摘要 图像自动标注技术在检索图像方面具有非常重要的作用,其重要性体现在可以根据图像语义关键词来检索具有一定特征的图像,这为用户的检索和使用带来了前所未有的便捷。本文设计了一套完整的图像自动标注技术,首先对图片的多个特征进行提取,之后通过多特征融合的方法与已标注图像进行相似度量从而对图片进行自动标注。 Automatic image annotation technology has a very important role in terms of retrieving images, and its importance is reflected in the fact that the image can be retrieved in accordance with a certain characteristic image semantic keywords, which brought unprecedented convenience for the retrieval and use of the user. This paper designs a complete set of automatic image annotation technology. Firstly, we extract multiple features from the pictures, and then do the measurements of similarity on the marked images by the method of multi-feature fusions, so that the picture will be labeled automatically.
机构地区 北方工业大学
出处 《软件工程与应用》 2015年第2期19-25,共7页 Software Engineering and Applications
基金 北京市大学生科研训练项目“基于多特征融合的图像自动标注”项目(项目编号:14005) 北京市教委面上项目“基于嵌入式多核处理器的图像自动标注系统研究”(项目编号:KM201410009006)。
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