Robustly detect different types of text in videos-Reference-Cited by-同舟云学术

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Robustly detect different types of text in videos

Published:2020-01-27 Issue:16 Volume:32 Page:12827-12840
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Cai Yuanqiang,Wang Weiqiang

Funder

National Key R&D Program of China

Ningbo 2025 Key Project of Science and Technology Innovation

NSFC Key Projects of International (Regional) Cooperation and Exchanges

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-020-04729-6.pdf

Reference50 articles.

1. Bertini M, Del Bimbo A, Nunziati W (2006) Automatic detection of player’s identity in soccer videos using faces and text cues. In: The ACM MM. ACM, pp 663–666

2. Epshtein B, Ofek E, Wexler Y (2010) Detecting text in natural scenes with stroke width transform. In: The IEEE CVPR. IEEE, pp 2963–2970

3. Fang S, Xie H, Chen Z, Zhu S, Gu X, Gao X (2017) Detecting uyghur text in complex background images with convolutional neural network. Multimed Tools Appl 76(13):15083–15103

4. Goto H, Tanaka M (2009) Text-tracking wearable camera system for the blind. In: The ICDAR. IEEE, pp 141–145

5. He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: The CVPR, pp 770–778

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TextDC: Exploring Multidimensional Text Detection via a New Benchmark and Solution;Electronics;2022-12-29

2. Fast Approximate Modelling of the Next Combination Result for Stopping the Text Recognition in a Video;2020 25th International Conference on Pattern Recognition (ICPR);2021-01-10

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