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Title:
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MAGVI: TOWARDS SALIENCY-DRIVEN VIDEO
MAGNIFICATION APPLICATION FOR THE PEOPLE
WITH LOW VISION |
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Author(s):
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Prajakta Thakur, Tanay Dalvi, Varun John and Swati Chandna |
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ISBN:
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978-989-8704-31-3 |
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Editors:
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Katherine Blashki |
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Year:
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2021 |
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Edition:
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Single |
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Keywords:
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Low Vision, Intelligent User Interface, Video Magnification, Video Saliency |
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Type:
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Full |
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First Page:
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36 |
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Last Page:
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43 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Interacting with dynamic content such as videos, movies is very challenging for people with low vision. While screen
magnifier software enables visually impaired people to pan and zoom the static content, such as text and images. They still
lack efficient and intuitive means to pan and zoom over the dynamic content such as videos, movies, or YouTube videos.
Therefore, a new approach is needed to enable people with low vision to interact with the dynamic content with ease. This
paper presents a concept of the fully integrated application called as MagVi which aims towards making dynamic content
accessible. This is composed of two main components; the first component is the video magnification application that uses
the video saliency models to automatically identify the salient Region of Interests (ROI) in different videos. The second
component of this application allows visually impaired users to view the identified ROI in a mobile application and also to
dynamically pan and zoom, change the font size of the text throughout the application.
The quantitative and qualitative evaluation with five low vision people revealed that the application was considered
effective and efficient to use. Our approach has enabled people with low vision to pan and zoom over the dynamic content
from a mobile phone which indicates the potential of making videos accessible to visually impaired people. |
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