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A saliency-driven video magnifier for people with low vision

  • Stony Brook University
  • Old Dominion University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Consuming video content poses significant challenges for many screen magnifier users, which is the "go to" assistive technology for people with low vision. While screen magnifier software could be used to achieve a zoom factor that would make the content of the video visible to low-vision users, it is oftentimes a major challenge for these users to navigate through videos. Towards making videos more accessible for low-vision users, we have developed the SViM video magnifier system [6]. Specifically, SViM consists of three different magnifier interfaces with easy-to-use means of interactions. All three interfaces are driven by visual saliency as a guided signal, which provides a quantification of interestingness at the pixel-level. Saliency information, which is provided as a heatmap is then processed to obtain distinct regions of interest. These regions of interests are tracked over time and displayed using an easy-to-use interface. We present a description of our overall design and interfaces.

Original languageEnglish
Title of host publicationProceedings of the 17th International Web for All Conference, W4A 2020
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450370561
DOIs
StatePublished - Apr 20 2020
Event17th International Web for All Conference, W4A 2020 - Taipei, Taiwan, Province of China
Duration: Apr 20 2020Apr 21 2020

Publication series

NameProceedings of the 17th International Web for All Conference, W4A 2020

Conference

Conference17th International Web for All Conference, W4A 2020
Country/TerritoryTaiwan, Province of China
CityTaipei
Period04/20/2004/21/20

Keywords

  • screen magnifier users
  • video accessibility

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