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Reverse-engineering bar charts using neural networks

机译:使用神经网络的逆向工程条形图

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摘要

Reverse-engineering bar charts extract textual and numeric information from the visual representations of bar charts to support application scenarios that require the underlying information. In this paper, we propose a neural network-based method for reverse-engineering bar charts. We adopt a neural network-based object detection model to simultaneously localize and classify textual information. This approach improves the efficiency of textual information extraction. We design an encoder-decoder framework that integrates convolutional and recurrent neural networks to extract numeric information. We further introduce an attention mechanism into the framework to achieve high accuracy and robustness. Synthetic and real-world datasets are used to evaluate the effectiveness of the method. To the best of our knowledge, this work takes the lead in constructing a complete neural network-based method of reverse-engineering bar charts.
机译:反向工程条图从条形图的视觉表示中提取文本和数字信息,以支持需要基础信息的应用程序。 在本文中,我们提出了一种基于神经网络的逆向工程条形图的方法。 我们采用基于神经网络的对象检测模型来同时本地化和分类文本信息。 这种方法提高了文本信息提取的效率。 我们设计编码器解码器框架,集成了卷积和经常性神经网络以提取数字信息。 我们进一步引入了一个注意机制,以实现高精度和鲁棒性。 合成和现实世界数据集用于评估方法的有效性。 据我们所知,这项工作采取了领先地位构建了一种基于神经网络的逆向工程条形图的方法。

著录项

  • 来源
    《Journal of visualization》 |2021年第2期|419-435|共17页
  • 作者单位

    School of Computer Science and Engineer Central South University Changsha China;

    School of Computer Science and Engineer Central South University Changsha China;

    School of Computer Science and Engineer Central South University Changsha China;

    School of Computer Science and Engineer Central South University Changsha China;

    School of Computer Science and Engineer Central South University Changsha China;

    Beijing Key Laboratory of Big Data Technology for Food Safety Beijing Technology and Business University Beijing China;

    Institute of Systems Engineering Academy of Military Sciences Beijing China;

    School of Computer Science and Engineer Central South University Changsha China Rail Data Research and Application Key Laboratory of Hunan Province Changsha China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Information extraction; Neural network; Reverse engineering; Bar chart;

    机译:信息提取;神经网络;逆向工程;条形图;

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