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A saliency-driven video magnifier for people with low vision

Published: 20 April 2020 Publication History

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.

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References

[1]
Jiang, L., Xu, M., Liu, T., Qiao, M. and Wang, Z., 2018. Deepvs: A deep learning based video saliency prediction approach. In Proceedings of the European Conference on Computer Vision (ECCV) (pp. 602--617).
[2]
Microsoft Corporation. 1998. Magnifier. [Software][Accessed: 2019]
[3]
Apple Inc. Zoom. [Software][Accessed: 2019]
[4]
Kalman, R.E., 1960. A new approach to linear filtering and prediction problems. Journal of basic Engineering, 82(1), pp.35--45.
[5]
VideoLAN organization. 2001. VLC Media Player. [Software][Accessed: 2019]
[6]
Aydin, A.S., Feiz, S., Ashok, V. and Ramakrishnan, I. "Towards Making Videos Accessible for Low Vision Screen Magnifier Users" in 25th International Conference on Intelligent User Interfaces(IUI), 2020(To appear).

Cited By

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  • (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

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    cover image ACM Conferences
    W4A '20: Proceedings of the 17th International Web for All Conference
    April 2020
    190 pages
    ISBN:9781450370561
    DOI:10.1145/3371300
    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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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 April 2020

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    Author Tags

    1. screen magnifier users
    2. video accessibility

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    • Demonstration

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    W4A '20
    W4A '20: 17th Web for All Conference
    April 20 - 21, 2020
    Taipei, Taiwan

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    W4A '20 Paper Acceptance Rate 18 of 29 submissions, 62%;
    Overall Acceptance Rate 171 of 371 submissions, 46%

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    • (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

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