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Human-Ai Systems for Video Accessibility.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Human-Ai Systems for Video Accessibility./
Author:	Liu, Xingyu.
Description:	1 online resource (121 pages)
Notes:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
Subject:	Computer engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29253077click for full text (PQDT)
ISBN:	9798819398739

Human-Ai Systems for Video Accessibility.
Liu, Xingyu.

Human-Ai Systems for Video Accessibility. - 1 online resource (121 pages)

Source: Masters Abstracts International, Volume: 83-12.

Thesis (M.S.)--University of California, Los Angeles, 2022.

Includes bibliographical references

Online video content has proliferated as a key source for information in the form of video lectures, vlogs, reviews, how-to's, and more. A video hosting service, YouTube, is now the second most popular search platform and reaches 81% of internet users under 20. However, most online videos do not provide audio descriptions (AD), presenting serious barriers for blind and visually impaired (BVI) people who may lack access to the visuals. In this thesis work, I present Human-AI systems to make online videos more accessible. Specifically, by (1) understanding what makes videos accessible to blind and visually impaired people; (2) automatically surfacing already accessible video content on platforms like YouTube with computer vision and natural language processing algorithms; and (3) helping video authors efficiently detect and address visual and auditory accessibility issues in their video authoring process.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798819398739Subjects--Topical Terms:

621879
Computer engineering.
Subjects--Index Terms:

Audio descriptionIndex Terms--Genre/Form:

542853
Electronic books.

Human-Ai Systems for Video Accessibility.
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500 $a Source: Masters Abstracts International, Volume: 83-12.
500 $a Advisor: Chen, Xiang.
502 $a Thesis (M.S.)--University of California, Los Angeles, 2022.
504 $a Includes bibliographical references
520 $a Online video content has proliferated as a key source for information in the form of video lectures, vlogs, reviews, how-to's, and more. A video hosting service, YouTube, is now the second most popular search platform and reaches 81% of internet users under 20. However, most online videos do not provide audio descriptions (AD), presenting serious barriers for blind and visually impaired (BVI) people who may lack access to the visuals. In this thesis work, I present Human-AI systems to make online videos more accessible. Specifically, by (1) understanding what makes videos accessible to blind and visually impaired people; (2) automatically surfacing already accessible video content on platforms like YouTube with computer vision and natural language processing algorithms; and (3) helping video authors efficiently detect and address visual and auditory accessibility issues in their video authoring process.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Computer engineering. $3 621879
650 4 $a Computer science. $3 523869
650 4 $a Web studies. $3 2122754
653 $a Audio description
653 $a YouTube
653 $a Online video accessibility
653 $a Video authors
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773 0 $t Masters Abstracts International $g 83-12.
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