Arbitrary-Oriented Scene Text Detection via Rotation Proposals
This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the Rotation Region Proposal Networks , which are designed to generate inclined proposals with text orientation angle information. The angle information is then adapted fo...
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| Published in | IEEE transactions on multimedia Vol. 20; no. 11; pp. 3111 - 3122 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
01.11.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the Rotation Region Proposal Networks , which are designed to generate inclined proposals with text orientation angle information. The angle information is then adapted for bounding box regression to make the proposals more accurately fit into the text region in terms of the orientation. The Rotation Region-of-Interest pooling layer is proposed to project arbitrary-oriented proposals to a feature map for a text region classifier. The whole framework is built upon a region-proposal-based architecture, which ensures the computational efficiency of the arbitrary-oriented text detection compared with previous text detection systems. We conduct experiments using the rotation-based framework on three real-world scene text detection datasets and demonstrate its superiority in terms of effectiveness and efficiency over previous approaches. |
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| AbstractList | This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the Rotation Region Proposal Networks , which are designed to generate inclined proposals with text orientation angle information. The angle information is then adapted for bounding box regression to make the proposals more accurately fit into the text region in terms of the orientation. The Rotation Region-of-Interest pooling layer is proposed to project arbitrary-oriented proposals to a feature map for a text region classifier. The whole framework is built upon a region-proposal-based architecture, which ensures the computational efficiency of the arbitrary-oriented text detection compared with previous text detection systems. We conduct experiments using the rotation-based framework on three real-world scene text detection datasets and demonstrate its superiority in terms of effectiveness and efficiency over previous approaches. |
| Author | Ma, Jianqi Wang, Li Zheng, Yingbin Wang, Hong Xue, Xiangyang Ye, Hao Shao, Weiyuan |
| Author_xml | – sequence: 1 givenname: Jianqi surname: Ma fullname: Ma, Jianqi email: majq16@fudan.edu.cn organization: Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China – sequence: 2 givenname: Weiyuan orcidid: 0000-0002-5939-4708 surname: Shao fullname: Shao, Weiyuan email: shaowy@sari.ac.cn organization: Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China – sequence: 3 givenname: Hao surname: Ye fullname: Ye, Hao email: yeh@sari.ac.cn organization: Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China – sequence: 4 givenname: Li surname: Wang fullname: Wang, Li email: wangli16@fudan.edu.cn organization: Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China – sequence: 5 givenname: Hong surname: Wang fullname: Wang, Hong email: wang_hong@sari.ac.cn organization: Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China – sequence: 6 givenname: Yingbin orcidid: 0000-0002-5590-9292 surname: Zheng fullname: Zheng, Yingbin email: zhengyb@sari.ac.cn organization: Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China – sequence: 7 givenname: Xiangyang surname: Xue fullname: Xue, Xiangyang email: xyxue@fudan.edu.cn organization: Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China |
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| CODEN | ITMUF8 |
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| Cites_doi | 10.1109/TIP.2016.2547588 10.1109/CVPR.2016.254 10.1109/TMM.2016.2625259 10.1109/ICASSP.2016.7472154 10.1007/s11263-015-0823-z 10.1016/j.patcog.2003.10.012 10.1109/CVPR.2010.5540041 10.1109/ICDAR.2011.296 10.1007/s11263-013-0620-5 10.1109/TPAMI.2014.2366765 10.1109/TPAMI.2016.2577031 10.1109/CVPR.2017.371 10.1109/ICDAR.2017.210 10.1109/ICCV.2015.528 10.1109/TMM.2011.2177646 10.1007/978-0-85729-859-1_28 10.1109/CVPR.2017.368 10.1109/CVPR.2016.451 10.1016/0196-6774(87)90020-4 10.1016/j.imavis.2004.02.006 10.1109/CVPR.2014.514 10.1109/ICDAR.2015.7333942 10.1109/ICCV.2015.169 10.1109/TMM.2016.2638622 10.1016/j.eswa.2014.07.008 10.1109/ICDAR.2013.221 10.1109/CVPR.2016.388 10.1109/TPAMI.2013.182 10.1109/TPAMI.2003.1251157 10.1109/TIP.2016.2554321 10.1109/ICCV.2013.19 10.1109/ICDAR.2003.1227749 10.1109/TIP.2014.2353813 10.1109/TMM.2011.2154317 10.1109/ICME.2017.8019461 10.1109/TMM.2015.2443556 10.1109/ICCV.2013.102 10.1109/TPAMI.2014.2388210 10.1109/CVPR.2016.91 |
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| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 |
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| References | ref57 ref13 ref56 ref12 ref59 ref15 ref58 ref52 ref55 ref54 yin (ref53) 2014; 36 uchida (ref26) 2014 chen (ref24) 2000 ref17 bazazian (ref14) 2017 yao (ref21) 0 kim (ref28) 2003; 25 wang (ref7) 0 jaderberg (ref46) 0 ref51 ref50 ref45 ref48 ref41 bai (ref2) 2017 liao (ref16) 0 ref49 ref9 ref4 ref3 ref5 ref40 tian (ref42) 0 ref35 ref34 ref37 ref36 ref30 ref33 ref32 zitnick (ref39) 0 huang (ref11) 0 ref1 jiang (ref44) 2016 ref38 he (ref19) 2016 yao (ref18) 2016 simonyan (ref47) 0 ref23 ref25 ref20 zhong (ref43) 2016 ref22 ref27 chen (ref29) 0; 2 chen (ref6) 0 wang (ref31) 0 jaderberg (ref10) 0 neumann (ref8) 0; 6494 |
| References_xml | – ident: ref38 doi: 10.1109/TIP.2016.2547588 – ident: ref55 doi: 10.1109/CVPR.2016.254 – year: 2016 ident: ref18 article-title: Scene text detection via holistic, multi-channel prediction publication-title: arXiv 1606 09002 – volume: 6494 start-page: 770 year: 0 ident: ref8 article-title: A method for text localization and recognition in real-world images publication-title: Proc 10th Asian Conf Comp Vis LNCS – ident: ref15 doi: 10.1109/TMM.2016.2625259 – start-page: 2017 year: 0 ident: ref46 article-title: Spatial transformer networks publication-title: Proc Adv Neural Inf Process Syst – ident: ref35 doi: 10.1109/ICASSP.2016.7472154 – ident: ref41 doi: 10.1007/s11263-015-0823-z – start-page: 591 year: 0 ident: ref7 article-title: Word spotting in the wild publication-title: Proc Eur Conf Comput Vis – ident: ref25 doi: 10.1016/j.patcog.2003.10.012 – year: 2000 ident: ref24 article-title: A survey of text detection and recognition in images and videos – ident: ref32 doi: 10.1109/CVPR.2010.5540041 – ident: ref34 doi: 10.1109/ICDAR.2011.296 – year: 0 ident: ref47 article-title: Very deep convolutional networks for large-scale image recognition publication-title: Proc Int Conf Learn Represent – ident: ref40 doi: 10.1007/s11263-013-0620-5 – year: 2016 ident: ref43 article-title: Deeptext: A unified framework for text proposal generation and text detection in natural images publication-title: arXiv 1605 07314 – start-page: 391 year: 0 ident: ref39 article-title: Edge boxes: Locating object proposals from edges publication-title: Proc Eur Conf Comput Vis – start-page: 4161 year: 0 ident: ref16 article-title: Textboxes: A fast text detector with a single deep neural network publication-title: Proc AAAI Conf Artif Intell – year: 2017 ident: ref2 article-title: Integrating scene text and visual appearance for fine-grained image classification with convolutional neural networks publication-title: arXiv 1704 04613 – start-page: 366 year: 0 ident: ref6 article-title: Detecting and reading text in natural scenes publication-title: Proc IEEE Conf Comput Vis and Pattern Recog – ident: ref27 doi: 10.1109/TPAMI.2014.2366765 – ident: ref20 doi: 10.1109/TPAMI.2016.2577031 – ident: ref59 doi: 10.1109/CVPR.2017.371 – ident: ref58 doi: 10.1109/ICDAR.2017.210 – ident: ref13 doi: 10.1109/ICCV.2015.528 – ident: ref4 doi: 10.1109/TMM.2011.2177646 – start-page: 843 year: 2014 ident: ref26 article-title: Text localization and recognition in images and video publication-title: Handbook of Document Image Processing and Recognition doi: 10.1007/978-0-85729-859-1_28 – ident: ref57 doi: 10.1109/CVPR.2017.368 – ident: ref17 doi: 10.1109/CVPR.2016.451 – start-page: 512 year: 0 ident: ref10 article-title: Deep features for text spotting publication-title: Proc Eur Conf Comput Vis – ident: ref49 doi: 10.1016/0196-6774(87)90020-4 – ident: ref33 doi: 10.1016/j.imavis.2004.02.006 – year: 2016 ident: ref44 article-title: Face detection with the faster R-CNN publication-title: arXiv 1606 03473 – ident: ref54 doi: 10.1109/CVPR.2014.514 – ident: ref23 doi: 10.1109/ICDAR.2015.7333942 – ident: ref48 doi: 10.1109/ICCV.2015.169 – year: 2016 ident: ref19 article-title: Accurate text localization in natural image with cascaded convolutional text network publication-title: arXiv 1603 09423 – ident: ref1 doi: 10.1109/TMM.2016.2638622 – ident: ref36 doi: 10.1016/j.eswa.2014.07.008 – ident: ref22 doi: 10.1109/ICDAR.2013.221 – start-page: 497 year: 0 ident: ref11 article-title: Robust scene text detection with convolution neural network induced MSER trees publication-title: Proc Eur Conf Comput Vis – ident: ref37 doi: 10.1109/CVPR.2016.388 – volume: 36 start-page: 970 year: 2014 ident: ref53 article-title: Robust text detection in natural scene images publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2013.182 – volume: 25 start-page: 1631 year: 2003 ident: ref28 article-title: Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2003.1251157 – ident: ref3 doi: 10.1109/TIP.2016.2554321 – ident: ref30 doi: 10.1109/ICCV.2013.19 – start-page: 1083 year: 0 ident: ref21 article-title: Detecting texts of arbitrary orientations in natural images publication-title: Proc IEEE Conf Comput Vis and Pattern Recog – ident: ref52 doi: 10.1109/ICDAR.2003.1227749 – start-page: 56 year: 0 ident: ref42 article-title: Detecting text in natural image with connectionist text proposal network publication-title: Proc Eur Conf Comput Vis – ident: ref51 doi: 10.1109/TIP.2014.2353813 – ident: ref5 doi: 10.1109/TMM.2011.2154317 – ident: ref45 doi: 10.1109/ICME.2017.8019461 – ident: ref12 doi: 10.1109/TMM.2015.2443556 – year: 2017 ident: ref14 article-title: Improving text proposals for scene images with fully convolutional networks publication-title: arXiv 1702 05089 – ident: ref9 doi: 10.1109/ICCV.2013.102 – start-page: 3304 year: 0 ident: ref31 article-title: End-to-end text recognition with convolutional neural networks publication-title: Proc Int Conf Pattern Recognit – ident: ref56 doi: 10.1109/TPAMI.2014.2388210 – ident: ref50 doi: 10.1109/CVPR.2016.91 – volume: 2 start-page: 366 year: 0 ident: ref29 article-title: Detecting and reading text in natural scenes publication-title: Proc IEEE Conf Comput Vis and Pattern Recog |
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| Snippet | This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the Rotation Region Proposal... |
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| SubjectTerms | arbitrary oriented Computer architecture Computing time Feature maps Image detection Image edge detection Microsoft Windows Pipelines Proposals Robustness Rotation rotation proposals Scene text detection Task analysis |
| Title | Arbitrary-Oriented Scene Text Detection via Rotation Proposals |
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