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Accurate off-line query expansion for large-scale mobile visual search

机译：精确的离线查询扩展，可用于大规模移动视觉搜索

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摘要

Mobile visual search is a new class of applications that use images taken by camera phone to initiate search queries. It is a very challenging task mainly because of image affine transformations caused by viewpoints changes, and motion blur due to hand tremble. These problems are unavoidable in mobile visual search and often result in low recall. Query expansion is an effective strategy for recall improvement, but existing methods are highly memory and time consuming, and often involve lots of redundant features. Integrating robust local patch mining and geometric parameter coding, this paper proposes an accurate offline query expansion method for large-scale mobile visual search. Concretely, a novel criterion is presented for robust patch evaluation and mining. Then multiple representative features are extracted from these selected local patches to deal with viewpoint changes. Moreover, the geometric parameter of each representative viewpoint is also recorded, to support fast and accurate feature matching. Experimental results on several well-known datasets and a large image set (1 M) have demonstrated the effectiveness and efficiency of our method, especially its high robustness to viewpoint changes. The proposed approach can also be well generalized to other multimedia content analysis tasks.
机译：移动视觉搜索是一类新的应用程序，它使用照相手机拍摄的图像来发起搜索查询。这是一项非常具有挑战性的任务，主要是由于视点变化导致的图像仿射变换，以及由于手部抖动造成的运动模糊。这些问题在移动视觉搜索中是不可避免的，并且经常导致召回率低。查询扩展是提高召回率的有效策略，但是现有方法占用大量内存且非常耗时，并且经常涉及许多冗余功能。结合鲁棒的局部补丁挖掘和几何参数编码，提出了一种用于大规模移动视觉搜索的精确离线查询扩展方法。具体而言，提出了一种新的准则，用于强大的补丁评估和挖掘。然后，从这些选定的局部补丁中提取多个代表性特征以应对视点变化。此外，还记录每个代表性视点的几何参数，以支持快速准确的特征匹配。在几个著名的数据集和一个大图像集（1 M）上的实验结果证明了我们方法的有效性和效率，特别是它对视点变化的高鲁棒性。所提出的方法也可以很好地推广到其他多媒体内容分析任务。

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  • 来源
    《Signal processing》 |2013年第8期|2305-2315|共11页
  • 作者

    Ke Gao; Yongdong Zhang; Dongming Zhang; Shouxun Lin;

  • 作者单位

    Advanced Computing Research Laboratory, Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;

    Advanced Computing Research Laboratory, Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;

    Advanced Computing Research Laboratory, Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;

    Advanced Computing Research Laboratory, Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Mobile visual search; Query expansion; Robust local patches mining; Geometric parameter coding; Object detection;

    机译：移动视觉搜索;查询扩展;强大的本地补丁挖掘;几何参数编码;物体检测;

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