A Hybrid Representation of Word Images for Keyword Spotting-Reference-Cited by-同舟云学术

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A Hybrid Representation of Word Images for Keyword Spotting

Published:2020 Issue: Volume: Page:3-10
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Wei Hongxi,Zhang Jing,Liu Kexin

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-63820-7_1

Reference12 articles.

1. Giotis, A.P., Sfikas, G., Gatos, B., Nikou, C.: A survey of document image word spotting techniques. Pattern Recogn. 68(8), 310–332 (2017)

2. Gurjar, N., Sudholt, S., Fink, G.A.: Learning deep representations for word spotting under weak supervision. In: Proceedings of the 13th International Workshop on Document Analysis Systems (DAS’18), pp. 7–12. IEEE (2018)

3. Wei, H., Gao, G.: A keyword retrieval system for historical Mongolian document images. Int. J. Doc. Anal. Recogn. (IJDAR) 17(1), 33–45 (2013). https://doi.org/10.1007/s10032-013-0203-6

4. Wilkinson, T., Lindstrom, J., Brun, A.: Neural Ctrl-F: segmentation-free query-by-string word spotting in handwritten manuscript collections. In: Proceedings of 2017 IEEE International Conference on Computer Vision (ICCV’17), pp. 4433–4442. IEEE (2017)

5. Wei, H., Zhang, H., Gao, G.: Word image representation based on visual embeddings and spatial constraints for keyword spotting on historical documents. In: Proceedings of the 24th International Conference on Pattern Recognition (ICPR’18), pp. 3616–3621. IEEE (2018)

Cited by 1 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. HENet: Hyperbolic-Based Encoder-Decoder Network for Word Spotting in Historical Mongolian Documents;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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