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.
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
Repository 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
Comments
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