Toward Automatic Audio Description Generation for Accessible Videos-Reference-Cited by-同舟云学术

Toward Automatic Audio Description Generation for Accessible Videos

Published:2021-05-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Wang Yujia¹,Liang Wei²,Huang Haikun³,Zhang Yongqi⁴,Li Dingzeyu⁵,Yu Lap-Fai⁶

Affiliation:

1. Computer Science Beijing Institute of Technology, China

2. School of Computer Science Beijing Institute of Technology, China

3. Computer Science Department George Mason University, United States

4. Computer Science Department University of Massachusetts Boston, United States

5. Adobe Research, United States

6. Computer Science George Mason University, United States

Funder

NSF CAREER Award

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3411764.3445347

Reference59 articles.

1. 2019. Katna: Tool for automating common vide keyframe extraction and Image Autocrop tasks. https://katna.readthedocs.io/. 2019. Katna: Tool for automating common vide keyframe extraction and Image Autocrop tasks. https://katna.readthedocs.io/.

2. 2020. Guidelines for Audio Describers. http://www.acb.org/adp/guidelines.html. 2020. Guidelines for Audio Describers. http://www.acb.org/adp/guidelines.html.

3. Video Description

4. Relja Arandjelovic and Andrew Zisserman. 2017. Look listen and learn. In ICCV. 609–617. Relja Arandjelovic and Andrew Zisserman. 2017. Look listen and learn. In ICCV. 609–617.

5. Sanjeev Arora Yingyu Liang and Tengyu Ma. 2016. A simple but tough-to-beat baseline for sentence embeddings. (2016). Sanjeev Arora Yingyu Liang and Tengyu Ma. 2016. A simple but tough-to-beat baseline for sentence embeddings. (2016).

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