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• A Saliency-Driven Video Magnifier for People with Low Vision

  Ali Selman Aydin, Shirin Feiz, Vikas Ashok, I V Ramakrishnan · 2020 · Proceedings of the 17th International Web for All Conference (W4A)

  This demonstration paper presents SViM (Saliency-driven Video Magnifier), a system that uses deep learning-based visual saliency prediction to automatically guide screen magnification to the most important regions of a video for people with low vision. Screen magnifiers are the…

  low vision · screen magnifier · video accessibility · computer vision · deep learning

• Deaf and hard-of-hearing users’ prioritization of genres of online video content requiring accurate captions

  Larwan Berke, Matthew Seita, Matt Huenerfauth · 2020 · Proceedings of the 17th International Web for All Conference (W4A)

  This paper investigates which genres of online video content Deaf and Hard-of-Hearing (DHH) users consider most important to have accurately captioned. With over 400 hours of video uploaded to YouTube every minute and no U.S. legal mandate to caption all online video (especially…

  deaf and hard of hearing · captioning · video accessibility · automatic speech recognition · user research

• Rescribe: Authoring and Automatically Editing Audio Descriptions

  Amy Pavel, Gabriel Reyes, Jeffrey P. Bigham · 2020 · Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST '20)

  This paper introduces Rescribe, a tool that helps authors create and refine audio descriptions for videos. Audio descriptions make video content accessible to blind and visually impaired viewers by narrating important visual information during gaps in the existing audio track. A…

  audio description · video accessibility · blind and low vision · NLP · sentence compression

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