Identification of Important Images for Understanding Web Pages

@article{Zhong2018IdentificationOI,
  title={Identification of Important Images for Understanding Web Pages},
  author={Ying Zhong and Masaki Matsubara and Atsuyuki Morishima},
  journal={2018 IEEE International Conference on Big Data (Big Data)},
  year={2018},
  pages={3568-3574}
}
People have become increasingly dependent on the Web. However, it is difficult for visually impaired individuals to understand the content, especially if the web page contains images. The images can be more accessible by adding alt text, but it is known that alt text added through the current automation techniques are not necessarily helpful. Crowdsourcing is a promising approach for it, but adding alt text to all the images on the Web requires a tremendous amount of effort. In addition, too… CONTINUE READING

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