Knowledge Commons of Institute of Automation,CAS
Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering | |
Li, Xiao-Hui1,2; Yin, Fei1,2; Liu, Cheng-Lin1,2,3 | |
2018 | |
会议名称 | The 24th International Conference on Pattern Recognition |
会议日期 | 2018-8 |
会议地点 | 中国北京国家会议中心 |
出版者 | IEEE |
摘要 | Page object detection in document images remains a challenge because the page objects are diverse in scale and aspect ratio, and an object may contain largely apart components. In this paper, we propose a hybrid method combining deep structured prediction and supervised clustering to detect formulas, tables and figures in PDF document images within a unified framework. The primitive region proposals extracted from each column region are classified and clustered with conditional random field (CRF) based graphical models which can integrate both local and contextual information. Both the unary and pairwise potentials of CRFs are formulated as convolutional neural networks (CNNs) to better exploit spatial contextual information. The CRF for clustering predicts the linked/cut label of between-region links. After CRF inference, the line regions of same class within a cluster are grouped into a page object. The state-of-the-art performance obtained on the public available ICDAR2017 POD competition dataset demonstrates the effectiveness and superiority of the proposed method. |
关键词 | page object detection deep learning structured prediction supervised clustering |
收录类别 | EI |
资助项目 | National Natural Science Foundation of China (NSFC)[61733007] ; National Natural Science Foundation of China (NSFC)[61411136002] ; National Natural Science Foundation of China (NSFC)[61721004] ; National Natural Science Foundation of China (NSFC)[61721004] ; National Natural Science Foundation of China (NSFC)[61411136002] ; National Natural Science Foundation of China (NSFC)[61733007] |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44422 |
专题 | 多模态人工智能系统全国重点实验室_模式分析与学习 |
通讯作者 | Liu, Cheng-Lin |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation of Chinese Academy of Sciences 95 Zhongguancun East Road, Beijing 100190, P.R. China 2.University of Chinese Academy of Sciences, Beijing, P.R. China 3.CAS Center for Excellence of Brain Science and Intelligence Technology, Beijing, P.R. China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Li, Xiao-Hui,Yin, Fei,Liu, Cheng-Lin. Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering[C]:IEEE,2018. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Page Object Detectio(2450KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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