A Smooth Transition to Modern mathoid-based Math Rendering in Wikipedia with Automatic Visual Regression Testing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

A Smooth Transition to Modern mathoid-based Math Rendering in Wikipedia with Automatic Visual Regression Testing. / Schubotz, Moritz; Sexton, Alan.

Proceedings of the 9th Conference on Intelligent Computer Mathematics. CEUR-WS.org, 2016. p. 132-145 (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Schubotz, M & Sexton, A 2016, A Smooth Transition to Modern mathoid-based Math Rendering in Wikipedia with Automatic Visual Regression Testing. in Proceedings of the 9th Conference on Intelligent Computer Mathematics. CEUR Workshop Proceedings, CEUR-WS.org, pp. 132-145, 9th Conference on Intelligent Computer Mathematics, Bialystok, Poland, 25/07/16.

APA

Schubotz, M., & Sexton, A. (2016). A Smooth Transition to Modern mathoid-based Math Rendering in Wikipedia with Automatic Visual Regression Testing. In Proceedings of the 9th Conference on Intelligent Computer Mathematics (pp. 132-145). (CEUR Workshop Proceedings). CEUR-WS.org.

Vancouver

Schubotz M, Sexton A. A Smooth Transition to Modern mathoid-based Math Rendering in Wikipedia with Automatic Visual Regression Testing. In Proceedings of the 9th Conference on Intelligent Computer Mathematics. CEUR-WS.org. 2016. p. 132-145. (CEUR Workshop Proceedings).

Author

Schubotz, Moritz ; Sexton, Alan. / A Smooth Transition to Modern mathoid-based Math Rendering in Wikipedia with Automatic Visual Regression Testing. Proceedings of the 9th Conference on Intelligent Computer Mathematics. CEUR-WS.org, 2016. pp. 132-145 (CEUR Workshop Proceedings).

Bibtex

@inproceedings{a4fbd909400c4e86b33bb4446b10097d,
title = "A Smooth Transition to Modern mathoid-based Math Rendering in Wikipedia with Automatic Visual Regression Testing",
abstract = "Pixelated images of mathematical formulae, which are inaccessible to screen readers and computer algebra systems, disappeared recently from Wikipedia. In this paper, we describe our efforts in maturing mathoid, the new services that provides better math rendering to Wikipedia, from a research prototype to a production service and a novel visual similarity image comparison tool designed for regression testing mathematical formulae rendering engines. Currently, updates to Math rendering engines that are used in production are infrequent. Due to their high complexity and large variety of special cases, developers are intimidated by the dangers involved in introducing new features and resolving non critical problems. Today{\textquoteright}s hardware is capable of rendering large collections of mathematical contents in a reasonable amount of time. Thus, developers can run their new algorithms before using them in production. However, until now they could not identify the most significant changes in rendering due to the large data volume and necessity for human inspection of the results. The novel image comparison tool we are proposing, will help to identify critical changes in the images and thus lower the bar for improving production level mathematical rendering engines.",
author = "Moritz Schubotz and Alan Sexton",
year = "2016",
month = jul
day = "22",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "CEUR-WS.org",
pages = "132--145",
booktitle = "Proceedings of the 9th Conference on Intelligent Computer Mathematics",
note = "9th Conference on Intelligent Computer Mathematics : CICM 2016 ; Conference date: 25-07-2016 Through 29-07-2016",

}

RIS

TY - GEN

T1 - A Smooth Transition to Modern mathoid-based Math Rendering in Wikipedia with Automatic Visual Regression Testing

AU - Schubotz, Moritz

AU - Sexton, Alan

PY - 2016/7/22

Y1 - 2016/7/22

N2 - Pixelated images of mathematical formulae, which are inaccessible to screen readers and computer algebra systems, disappeared recently from Wikipedia. In this paper, we describe our efforts in maturing mathoid, the new services that provides better math rendering to Wikipedia, from a research prototype to a production service and a novel visual similarity image comparison tool designed for regression testing mathematical formulae rendering engines. Currently, updates to Math rendering engines that are used in production are infrequent. Due to their high complexity and large variety of special cases, developers are intimidated by the dangers involved in introducing new features and resolving non critical problems. Today’s hardware is capable of rendering large collections of mathematical contents in a reasonable amount of time. Thus, developers can run their new algorithms before using them in production. However, until now they could not identify the most significant changes in rendering due to the large data volume and necessity for human inspection of the results. The novel image comparison tool we are proposing, will help to identify critical changes in the images and thus lower the bar for improving production level mathematical rendering engines.

AB - Pixelated images of mathematical formulae, which are inaccessible to screen readers and computer algebra systems, disappeared recently from Wikipedia. In this paper, we describe our efforts in maturing mathoid, the new services that provides better math rendering to Wikipedia, from a research prototype to a production service and a novel visual similarity image comparison tool designed for regression testing mathematical formulae rendering engines. Currently, updates to Math rendering engines that are used in production are infrequent. Due to their high complexity and large variety of special cases, developers are intimidated by the dangers involved in introducing new features and resolving non critical problems. Today’s hardware is capable of rendering large collections of mathematical contents in a reasonable amount of time. Thus, developers can run their new algorithms before using them in production. However, until now they could not identify the most significant changes in rendering due to the large data volume and necessity for human inspection of the results. The novel image comparison tool we are proposing, will help to identify critical changes in the images and thus lower the bar for improving production level mathematical rendering engines.

M3 - Conference contribution

T3 - CEUR Workshop Proceedings

SP - 132

EP - 145

BT - Proceedings of the 9th Conference on Intelligent Computer Mathematics

PB - CEUR-WS.org

T2 - 9th Conference on Intelligent Computer Mathematics

Y2 - 25 July 2016 through 29 July 2016

ER -