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Data · dataset · 2025

Code for Caption Crowd (IKILeUS)

Listed in DaRUS

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.

Description

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.

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.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Video 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-47758 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:computer-and-information-sciencesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[modality].local:modality:videoenrichment · darus uni stuttgart dekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
titlesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/name
updated_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0