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The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • Active Learning for Web Accessibility Evaluation

    Mengni Zhang, Can Wang, Zhi Yu, Chao Shen, Jiajun Bu · 2017 · Proceedings of the 14th International Web for All Conference (W4A)

    This paper introduces "active-prediction," a semi-supervised machine learning method that addresses a fundamental bottleneck in web accessibility evaluation: the prohibitive cost of evaluating all pages in a large website. Current practice relies on sampling methods (ad hoc,…

    accessibility evaluation · machine learning · active learning · web accessibility · automated testing

  • WAEM: A Web Accessibility Evaluation Metric Based on Partial User Experience Order

    Shuyi Song, Can Wang, Liangcheng Li, Zhi Yu, Xiao Lin, Jiajun Bu · 2017 · Proceedings of the 14th International Web for All Conference (W4A)

    This paper introduces WAEM (Web Accessibility Experience Metric), a novel accessibility metric that derives checkpoint weights from actual user experience data rather than from WCAG priority levels. The authors demonstrate that existing metrics like WAB and WAQM, which weight…

    accessibility metrics · user experience · accessibility evaluation · machine learning · SVM

  • Identifying Sign Language Videos in Video Sharing Sites

    Frank M. Shipman, Ricardo Gutierrez-Osuna, Caio D. D. Monteiro · 2014 · ACM Transactions on Accessible Computing

    This paper addresses the challenge of finding sign language videos within general video sharing platforms like YouTube. While these platforms contain growing libraries of sign language content created by deaf community members, locating this content is difficult because…

    sign language · ASL · video classification · machine learning · computer vision

  • Design and Evaluation of Classifier for Identifying Sign Language Videos in Video Sharing Sites

    Caio D.D. Monteiro, Ricardo Gutierrez-Osuna, Frank M. Shipman · 2012 · Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2012)

    This paper presents the design and evaluation of a video classifier that automatically distinguishes sign language (SL) videos from non-sign-language videos on video sharing sites like YouTube. Currently, deaf and hard-of-hearing users must rely on tags, titles, or metadata to…

    sign language · deaf community · video classification · computer vision · machine learning

4 results.