Document Type

Conference Paper

Publication Date

2020

DOI

10.1145/3371300.3383356

Publication Title

Proceedings of the 17th International Web for All Conference

Conference Name

17th International Web for All Conference, Taipei, Taiwan, April 20-21, 2020

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.

Comments

© 2020 Copyright held by the owner/authors

Included with the kind written permission of the owner.

Original Publication Citation

Aydin, A., Feiz, S., Ashok, V., & Ramakrishnan, I. (2020). A saliency-driven video magnifier for people with low vision. 17th International Web for All Conference, Taipei, Taiwan, April 20-21, 2020. https://dl.acm.org/doi/pdf/10.1145/3371300.3383356

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