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Image categorization for improving accessibility to information graphics

Published: 25 October 2010 Publication History

Abstract

Information graphics are important visual information in digital media. This paper investigates the accessibility issues associate with the information graphics for visually impaired people. The goal is to provide them with comprehensive numerical information contained in the figures. Towards the goal, we address the practical problems of automatic figure categorization, information extraction and multi-modal presentation scheme. In particular, the system identifies the image class using image processing and machine learning algorithms. With the knowledge of the image class, specific domain features and information are extracted, and then different modalities of presentation are employed based on the need. This paper first proposes the system framework and then focuses on the automated categorization algorithm.

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Cited By

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  • (2022)Graph Interpretation, Summarization and Visualization Techniques: A Review and Open Research IssuesMultimedia Tools and Applications10.1007/s11042-021-11582-982:6(8729-8771)Online publication date: 8-Jan-2022
  • (2021)Information Graphic Summarization using a Collection of Multimodal Deep Neural Networks2020 25th International Conference on Pattern Recognition (ICPR)10.1109/ICPR48806.2021.9412146(10188-10195)Online publication date: 10-Jan-2021
  • (2021)Evaginating scientific charts: Recovering direct and derived information encodings from chart imagesJournal of Visualization10.1007/s12650-021-00800-z25:2(343-359)Online publication date: 10-Oct-2021
  • Show More Cited By

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Published In

cover image ACM Conferences
ASSETS '10: Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
October 2010
346 pages
ISBN:9781605588810
DOI:10.1145/1878803

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 October 2010

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Author Tags

  1. classification
  2. information graphics
  3. visual impairment

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ASSETS '10
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Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Cited By

View all
  • (2022)Graph Interpretation, Summarization and Visualization Techniques: A Review and Open Research IssuesMultimedia Tools and Applications10.1007/s11042-021-11582-982:6(8729-8771)Online publication date: 8-Jan-2022
  • (2021)Information Graphic Summarization using a Collection of Multimodal Deep Neural Networks2020 25th International Conference on Pattern Recognition (ICPR)10.1109/ICPR48806.2021.9412146(10188-10195)Online publication date: 10-Jan-2021
  • (2021)Evaginating scientific charts: Recovering direct and derived information encodings from chart imagesJournal of Visualization10.1007/s12650-021-00800-z25:2(343-359)Online publication date: 10-Oct-2021
  • (2017)Architecture Proposal for Data Extraction of Chart Images Using Convolutional Neural Network2017 21st International Conference Information Visualisation (IV)10.1109/iV.2017.37(318-323)Online publication date: Jul-2017
  • (2012)View: Visual Information Extraction Widget for improving chart images accessibility2012 19th IEEE International Conference on Image Processing10.1109/ICIP.2012.6467497(2865-2868)Online publication date: Sep-2012

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