A Robust Vision-Based Framework for Screen Readers

Michael Cormier, Robin Cohen, Richard Mann, Kamal Rahim, Donglin Wang

Abstract: With the increasingly rich display of media on the Internet, screen reading technology that mainly considers website source code can become ineffective. We aim to present a solution that remains robust in the face of dynamically displayed web content, regardless of the underlying web framework. To do this, we consider techniques used in computer vision to determine semantic information about the web pages. We consider existing screen reading technologies to see where such techniques can help, and discuss our analytical model to show how this approach can benefit low vision users.