ML Anthology

Reading Text in the Wild from Compressed Images

Leonardo Galteri, Dena Bazazian, Lorenzo Seidenari, Marco Bertini, Andrew D. Bagdanov, Anguelos Nicolaou, Dimosthenis Karatzas, Alberto Del Bimbo
ICCVW 2017 pp. 2399-2407
doi:10.1109/ICCVW.2017.283 /iccvw/2017/galteri2017iccvw-reading/

Abstract

Reading text in the wild is gaining attention in the computer vision community. Images captured in the wild are almost always compressed to varying degrees, depending on application context, and this compression introduces artifacts that distort image content into the captured images. In this paper we investigate the impact these compression artifacts have on text localization and recognition in the wild. We also propose a deep Convolutional Neural Network (CNN) that can eliminate text-specific compression artifacts and which leads to an improvement in text recognition. Experimental results on the ICDAR-Challenge4 dataset demonstrate that compression artifacts have a significant impact on text localization and recognition and that our approach yields an improvement in both – especially at high compression rates.

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Cite

Text

Galteri et al. "Reading Text in the Wild from Compressed Images." IEEE/CVF International Conference on Computer Vision Workshops, 2017. doi:10.1109/ICCVW.2017.283

Markdown

[Galteri et al. "Reading Text in the Wild from Compressed Images." IEEE/CVF International Conference on Computer Vision Workshops, 2017.](https://mlanthology.org/iccvw/2017/galteri2017iccvw-reading/) doi:10.1109/ICCVW.2017.283

BibTeX

@inproceedings{galteri2017iccvw-reading,
  title     = {{Reading Text in the Wild from Compressed Images}},
  author    = {Galteri, Leonardo and Bazazian, Dena and Seidenari, Lorenzo and Bertini, Marco and Bagdanov, Andrew D. and Nicolaou, Anguelos and Karatzas, Dimosthenis and Del Bimbo, Alberto},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2017},
  pages     = {2399-2407},
  doi       = {10.1109/ICCVW.2017.283},
  url       = {https://mlanthology.org/iccvw/2017/galteri2017iccvw-reading/}
}