Publication type: | Conference paper |
Type of review: | Peer review (publication) |
Title: | PAVE : a web application to identify and correct accessibility problems in PDF documents |
Authors: | Doblies, Luchin Stolz, David Darvishy, Alireza Hutter, Hans-Peter |
DOI: | 10.1007/978-3-319-08596-8 |
Proceedings: | Computers Helping People with Special Needs : ICCHP 2014 Proceedings, Part I |
Editors of the parent work: | Miesenberger, Klaus Fels, Deborah Archambault, Dominique Peňáz, Petr Zagler, Wolfgang |
Page(s): | 185 |
Pages to: | 192 |
Conference details: | ICCHP 2014, 14th International Conference on Computers Helping People with Special Needs, Paris, France, 9-11 July 2014 |
Issue Date: | 2014 |
Series: | Lecture Notes in Computer Science |
Series volume: | 8547 |
Publisher / Ed. Institution: | Springer |
Publisher / Ed. Institution: | Paris |
ISBN: | 978-3-319-08596-8 978-3-319-08595-1 |
ISSN: | 0302-9743 1611-3349 |
Language: | English |
Subjects: | Accessible |
Subject (DDC): | 005: Computer programming, programs and data |
Abstract: | This paper describes the implementation of the PDF Accessibility Validation Engine (PAVE). PAVE is a web based application for identifying and correcting accessibility issues in PDF documents. The accessibility analysis is based on the PDF/UA standard. The entire application runs on a web server, allowing users to both analyze a PDF document in regard to accessibility issues and then to directly fix these issues within the browser, thus relieving them from installing software. A simple and intuitive user interface allows both experts as well as users with only little previous knowledge of PDF accessibility to work with PAVE. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/12112 |
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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Doblies, L., Stolz, D., Darvishy, A., & Hutter, H.-P. (2014). PAVE : a web application to identify and correct accessibility problems in PDF documents [Conference paper]. In K. Miesenberger, D. Fels, D. Archambault, P. Peňáz, & W. Zagler (Eds.), Computers Helping People with Special Needs : ICCHP 2014 Proceedings, Part I (pp. 185–192). Springer. https://doi.org/10.1007/978-3-319-08596-8
Doblies, L. et al. (2014) ‘PAVE : a web application to identify and correct accessibility problems in PDF documents’, in K. Miesenberger et al. (eds) Computers Helping People with Special Needs : ICCHP 2014 Proceedings, Part I. Paris: Springer, pp. 185–192. Available at: https://doi.org/10.1007/978-3-319-08596-8.
L. Doblies, D. Stolz, A. Darvishy, and H.-P. Hutter, “PAVE : a web application to identify and correct accessibility problems in PDF documents,” in Computers Helping People with Special Needs : ICCHP 2014 Proceedings, Part I, 2014, pp. 185–192. doi: 10.1007/978-3-319-08596-8.
DOBLIES, Luchin, David STOLZ, Alireza DARVISHY und Hans-Peter HUTTER, 2014. PAVE : a web application to identify and correct accessibility problems in PDF documents. In: Klaus MIESENBERGER, Deborah FELS, Dominique ARCHAMBAULT, Petr PEŇÁZ und Wolfgang ZAGLER (Hrsg.), Computers Helping People with Special Needs : ICCHP 2014 Proceedings, Part I. Conference paper. Paris: Springer. 2014. S. 185–192. ISBN 978-3-319-08596-8
Doblies, Luchin, David Stolz, Alireza Darvishy, and Hans-Peter Hutter. 2014. “PAVE : A Web Application to Identify and Correct Accessibility Problems in PDF Documents.” Conference paper. In Computers Helping People with Special Needs : ICCHP 2014 Proceedings, Part I, edited by Klaus Miesenberger, Deborah Fels, Dominique Archambault, Petr Peňáz, and Wolfgang Zagler, 185–92. Paris: Springer. https://doi.org/10.1007/978-3-319-08596-8.
Doblies, Luchin, et al. “PAVE : A Web Application to Identify and Correct Accessibility Problems in PDF Documents.” Computers Helping People with Special Needs : ICCHP 2014 Proceedings, Part I, edited by Klaus Miesenberger et al., Springer, 2014, pp. 185–92, https://doi.org/10.1007/978-3-319-08596-8.
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