
Evaluating AI Editing Algorithms for Video News Reporting
Konferenzveröffentlichung

Zusammenfassung
With video news gaining more and more popularity, Artificial Intelligence (AI) video editing tools could be implemented to accelerate video news production. A challenging issue, however, is the quality of AI-edited video news and the acceptance of such news by media consumers. A survey with 143 participants is conducted in Germany in order to evaluate the quality of video news clips edited by AI models in comparison to news clips produced by professional human editors. All survey participants are recruited by a commercial survey company. The evaluation of the survey reveals that AI editing is widely undetected by the participants. Overall, the evaluation shows that the quality difference of AI edited video new clips and human edited ones is negligible as confidence intervals of measured quality features overlap. Future research can benefit from investigating the influence of clearly labelled AI content in user evaluations.
Schlagworte
Artificial Intelligence
AI
Video Editing
Video News
Algorithms
AI
Video Editing
Video News
Algorithms
DDC-Klassifikation
600 Technik
300 Sozialwissenschaften
300 Sozialwissenschaften
Erschienen in
AIMEDIA 2025. Böhm, Stephan (Hrsg.). (2025). S. 57-61. 978-1-68558-330-9
Beziehung zu anderer Publikation
Veranstaltung
AIMEDIA 2025, July 6th-10th,2025, Venice, Italy
Projektförderung
KIGVI / German Federal Ministry of Research, Technology and Space & Qvest GmbH / FH-Kooperativ 2-2019, contract number 13FH544KX9
Einrichtung
Fachbereich Architektur und Bauingenieurwesen
Fachbereich Design Informatik Medien
Fachbereich Ingenieurwesen
Fachbereich Design Informatik Medien
Fachbereich Ingenieurwesen
Link zur Veröffentlichung
Sammlungen
- Publikationen [213]
BibTeX
@inproceedings{Moosburner2025,
author={Moosburner, Caspian Jade and Quandt, Dennis and Kowald, Matthias and Ruppel, Wolfgang and Dannewald, Till and Narroschke, Matthias},
title={Evaluating AI Editing Algorithms for Video News Reporting},
pages={S. 57-61},
month={07},
year={2025},
editor={Böhm, Stephan},
school={Hochschule RheinMain, Wiesbaden},
url={https://hlbrm.pur.hebis.de/xmlui/handle/123456789/332},
doi={10.25716/pur-222}
}