five

Code for Caption Crowd (IKILeUS)

收藏
DaRUS2025-02-13 更新2026-04-16 收录
下载链接:
https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/DARUS-4775
下载链接
链接失效反馈
官方服务:
资源简介:
CaptionCrowd is an interactive platform developed within the IKILeUS project at the University of Stuttgart to improve video caption accuracy for the Deaf and Hard of Hearing (DHH) community. While automatic captions provide some accessibility, they often contain errors in grammar, homophones, and domain-specific terminology, making comprehension challenging. CaptionCrowd enables users to collaboratively identify and correct inaccurate captions in real-time, improving their quality through community-driven feedback.<br> The platform features a user-friendly web-based video player that allows users to highlight incorrect words in subtitles, with their selections recorded for further analysis. User testing with 16 participants revealed that manually correcting captions can be cognitively demanding, highlighting the ongoing need for enhanced accessibility solutions.
提供机构:
University of Stuttgart
创建时间:
2025-02-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作