Document Navigability: A Need for Print-Impaired

Autor:	Kumar, Anukriti, Ganu, Tanuja, Guha, Saikat
Rok vydání:	2022
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Human-Computer Interaction
Zdroj:	Extended Abstract for Poster Session at Accessibility, Vision, and Autonomy Meet (CVPR 2022 Workshop)
Druh dokumentu:	Working Paper
Popis:	Printed documents continue to be a challenge for blind, low-vision, and other print-disabled (BLV) individuals. In this paper, we focus on the specific problem of (in-)accessibility of internal references to citations, footnotes, figures, tables and equations. While sighted users can flip to the referenced content and flip back in seconds, linear audio narration that BLV individuals rely on makes following these references extremely hard. We propose a vision based technique to locate the referenced content and extract metadata needed to (in subsequent work) inline a content summary into the audio narration. We apply our technique to citations in scientific documents and find it works well both on born-digital as well as scanned documents. Comment: Published at Accessibility, Vision, and Autonomy Meet, CVPR 2022 Workshop
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2206.10253 Zobrazit plný text záznamu View this record from Arxiv