| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | Automatic paragraph detection for accessible PDF documents |
| Authors: | Darvishy, Alireza Nevill, Mark Hutter, Hans-Peter |
| et. al: | No |
| DOI: | 10.1007/978-3-319-41264-1_50 |
| Proceedings: | Computers Helping People with Special Needs |
| Editors of the parent work: | Miesenberger, Klaus Bühler, Christian Peňáz, Petr |
| Page(s): | 367 |
| Pages to: | 372 |
| Conference details: | 15th International Conference on Computers Helping People with Special Needs (ICCHP), Linz, Austria, 13-15 July 2016 |
| Issue Date: | 2016 |
| Series: | Lecture Notes in Computer Science |
| Series volume: | 9758 |
| Publisher / Ed. Institution: | Springer |
| Publisher / Ed. Institution: | Cham |
| ISBN: | 978-3-319-41263-4 978-3-319-41264-1 |
| Language: | English |
| Subjects: | Accessible PDF; Tagged PDF; Visual implement; Algorithm; Screen reader; Document accessibility |
| Subject (DDC): | 005: Computer programming, programs and data |
| Abstract: | This paper describes a new algorithm for the automatic detection and tagging of paragraphs in PDF documents. This is an important feature of the PDF Accessibility Validation Engine (PAVE), which is an open-source web application for the analysis and semi-automatic correction of accessibility issues in PDF documents. The tool is currently used by a large number of users, and their feedback is collected and evaluated. The evaluation so far revealed some major usability issues mainly due to the missing paragraph detection functionality. After an introduction in PDF accessibility this paper discusses the current usability issues with PAVE and describes the newly proposed algorithm to alleviate them. A first evaluation and conclusion of the results will be provided in the final paper. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/28482 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
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Darvishy, A., Nevill, M., & Hutter, H.-P. (2016). Automatic paragraph detection for accessible PDF documents [Conference paper]. In K. Miesenberger, C. Bühler, & P. Peňáz (Eds.), Computers Helping People with Special Needs (pp. 367–372). Springer. https://doi.org/10.1007/978-3-319-41264-1_50
Darvishy, A., Nevill, M. and Hutter, H.-P. (2016) ‘Automatic paragraph detection for accessible PDF documents’, in K. Miesenberger, C. Bühler, and P. Peňáz (eds) Computers Helping People with Special Needs. Cham: Springer, pp. 367–372. Available at: https://doi.org/10.1007/978-3-319-41264-1_50.
A. Darvishy, M. Nevill, and H.-P. Hutter, “Automatic paragraph detection for accessible PDF documents,” in Computers Helping People with Special Needs, 2016, pp. 367–372. doi: 10.1007/978-3-319-41264-1_50.
DARVISHY, Alireza, Mark NEVILL und Hans-Peter HUTTER, 2016. Automatic paragraph detection for accessible PDF documents. In: Klaus MIESENBERGER, Christian BÜHLER und Petr PEŇÁZ (Hrsg.), Computers Helping People with Special Needs. Conference paper. Cham: Springer. 2016. S. 367–372. ISBN 978-3-319-41263-4
Darvishy, Alireza, Mark Nevill, and Hans-Peter Hutter. 2016. “Automatic Paragraph Detection for Accessible PDF Documents.” Conference paper. In Computers Helping People with Special Needs, edited by Klaus Miesenberger, Christian Bühler, and Petr Peňáz, 367–72. Cham: Springer. https://doi.org/10.1007/978-3-319-41264-1_50.
Darvishy, Alireza, et al. “Automatic Paragraph Detection for Accessible PDF Documents.” Computers Helping People with Special Needs, edited by Klaus Miesenberger et al., Springer, 2016, pp. 367–72, https://doi.org/10.1007/978-3-319-41264-1_50.
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