上海交通大学学报

上海交通大学学报（自然版）

• 自动化技术、计算机技术 • 上一篇    下一篇

基于语义绑定的分层视觉词汇库的图像检索

傅光磊1，孙锬锋1,2，蒋兴浩1,2
  

  1. (1.上海交通大学 信息安全工程学院， 上海 200240； 2.上海市信息安全综合管理技术研究重点实验室， 上海 200240)
  • 收稿日期:2010-05-10 修回日期:1900-01-01 出版日期:2011-02-28 发布日期:2011-02-28

Image Retrieval Research on Semantic Binding Hierarchical Visual Vocabulary

FU Guanglei1，SUN Tanfeng1,2，JIANG Xinghao1,2
  

  1. (1.School of Information Security Engineering, Shanghai Jiaotong University, Shanghai 200240, China；2.Shanghai Information Security Management and Technology Research Key Lab, Shanghai 200240, China)
  • Received:2010-05-10 Revised:1900-01-01 Online:2011-02-28 Published:2011-02-28

摘要： 提出了一种解析复杂图像语义的模型——分层语义模型,给出了解析复杂语义和构造模型的方法.提出了基于分层语义模型的语义绑定的分层视觉词汇库的概念，给出了构造词汇库的具体方法和步骤，同时对词汇库细节问题给出了解决的方法.将提出的分层视觉词汇库应用于基于内容和语义的图像检索中，并给出了构建图像检索系统的方法和检索图像的步骤.该模型在图像检索中可同时满足基于图像内容的检索方式和基于图像语义的检索方式.实验结果表明，该方法比基于SIFT(Scale Invariant Feature Transform)特征向量的图像检索方法具有更好的性能.

关键词: 图像语义, 分层语义模型, 分层视觉词汇库, 图像检索

Abstract: This paper proposed a hierarchical semantic model which can destruct complex image semantic, and presented the method to destruct complex semantic and to construct model. Then the paper proposed the concept of semantic binding hierarchical visual vocabulary which is based on the hierarchical semantic model and also presented the method and steps to build the visual vocabulary, and the resolution to some detail problems about vocabulary as well. The paper applied the visual vocabulary into the content and semantic based image retrieval and proposed the steps to construct the image retrieving system and to retrieving images. The proposed model and method can support both the image retrieval based on image content and the image retrieval based on image semantic. The experiments prove the better performance of the model and method compared with the traditional SIFT(Scale Invariant Feature Transform) feature based image retrieval.

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