A Survey on Machine Learning Techniques for Video Caption Accessibility to Assist Children with Learning Disabilities

Autor: Anagha V, K. S. Kuppusamy
Rok vydání: 2023
Předmět:
Zdroj: International Journal for Research in Applied Science and Engineering Technology. 11:1555-1566
ISSN: 2321-9653
Popis: On the World wide web, videos have become a speedy and effective information distribution method. Caretakers observed that YouTube was the most popular medium for kids during the COVID-19 epidemic, with more than 78% of kids watching it. To make a video accessible to children with learning impairments, captions are considered an assistive technology tool. Those with learning disabilities are not able to comprehend text content quickly within a video timeframe. We explored the temporal dimension of the caption of a frame in the video. The main difficulties with video caption accessibility are that users, within a short amount of time, have to get the gist of the visual content. In addition, they have to understand captions that are timed with frames. Children with learning disabilities have a hard time understanding captions, so this is one of the challenges they face. We presented a holistic view of caption accessibility and the challenges faced by children with learning disabilities in this paper.
Databáze: OpenAIRE