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Ensuring Accessibility: Individual Video Playback Enhancements for Low Vision Users

Published: 29 October 2020 Publication History

Abstract

Although software products are becoming increasingly accessible and assistive tools like screen readers becoming widely available, people with low vision still face insufficient support when it comes to consumption of digital video content. In this paper, we present an accessible desktop video player software, which allows people with low vision to adapt the presentation of digital videos according to their specific needs. For visual enhancement, we implemented a broad range of image manipulation techniques, like adaptation of contrast, color manipulation (e.g. inverting, grey scale transformations) and edge detection algorithms for sharpness optimization. Based on the feedback from low vision users, we discuss how to implement enhancement filter configuration and how to consider several input modalities.

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Cited By

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  • (2024)SmartLearn: Visual-Temporal Accessibility for Slide-based e-learning VideosExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650883(1-11)Online publication date: 11-May-2024
  • (2024)“It’s Kind of Context Dependent”: Understanding Blind and Low Vision People’s Video Accessibility Preferences Across Viewing ScenariosProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642238(1-20)Online publication date: 11-May-2024
  • (2023)The Potential of a Visual Dialogue Agent In a Tandem Automated Audio Description System for VideosProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3608402(1-17)Online publication date: 22-Oct-2023
  • Show More Cited By

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        cover image ACM Conferences
        ASSETS '20: Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility
        October 2020
        764 pages
        ISBN:9781450371032
        DOI:10.1145/3373625
        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Publication History

        Published: 29 October 2020

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        Author Tags

        1. Accessibility
        2. Low Vision
        3. Video Enhancement

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        • Refereed limited

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        ASSETS '20 Paper Acceptance Rate 46 of 167 submissions, 28%;
        Overall Acceptance Rate 436 of 1,556 submissions, 28%

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        Cited By

        View all
        • (2024)SmartLearn: Visual-Temporal Accessibility for Slide-based e-learning VideosExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650883(1-11)Online publication date: 11-May-2024
        • (2024)“It’s Kind of Context Dependent”: Understanding Blind and Low Vision People’s Video Accessibility Preferences Across Viewing ScenariosProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642238(1-20)Online publication date: 11-May-2024
        • (2023)The Potential of a Visual Dialogue Agent In a Tandem Automated Audio Description System for VideosProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3608402(1-17)Online publication date: 22-Oct-2023
        • (2023)Accessibility Research in Digital Audiovisual Media: What Has Been Achieved and What Should Be Done Next?Proceedings of the 2023 ACM International Conference on Interactive Media Experiences10.1145/3573381.3596159(94-114)Online publication date: 12-Jun-2023
        • (2021)Enhancing video communication experience for low vision usersProceedings of the 18th International Web for All Conference10.1145/3430263.3452419(1-5)Online publication date: 19-Apr-2021

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