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Image Retrieval Based on the Multi-index and Combination of Several Features

机译：基于多指标结合几种特征的图像检索

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摘要

Local interest points serve as elementary building blocks in many image retrieval algorithms, and most of them exploit the local volume features using a Bag of Feature (BOF) model. However, the model ignores seriously valuable information about the global features in image and the distribution of the interest points. In this paper, we combine the sift feature and a global color feature. Then, we propose an improved strategy based on the BOF model. Finally, we embed the binary of the sift and color feature in the BOF model. Convincing experimental results on several datasets demonstrate that our proposed method approaches to the state-of-the-art level in image retrieval.
机译：局部兴趣点是许多图像检索算法中的基本构建块，并且它们中的大多数都使用特征包（BOF）模型来利用局部体积特征。但是，该模型忽略了有关图像全局特征和兴趣点分布的重要有价值信息。在本文中，我们将筛选功能和全局颜色功能结合在一起。然后，我们提出了一种基于BOF模型的改进策略。最后，我们将筛分和颜色特征的二进制代码嵌入到BOF模型中。在多个数据集上令人信服的实验结果表明，我们提出的方法可达到图像检索的最新水平。

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  • 来源
  • 会议地点 Beijing(CN)
  • 作者

    Ziwei Tang; Kaiyang Liao; Yuanlin Zheng; Wei Wang; Mengying Liu; Hui Yuan;

  • 作者单位

    Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China;

    Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China;

    Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China;

    Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China;

    Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China;

    Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Image retrieval; BOF index model; Similarity search;

    机译：图像检索； BOF指数模型；相似搜索;

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