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Automated detection of errors and quality issues in audio-visual content

: Paduschek, R.; Nowak, S.; Kühhirt, U.


Natale, F.G.B. de ; Association for Computing Machinery -ACM-; Association for Computing Machinery -ACM-, Special Interest Group on Multimedia -SIGMM-:
1st ACM International Conference on Multimedia Retrieval, ICMR 2011. Proceedings : April 17-20, 2011, Trento, Italy
New York: ACM, 2011
ISBN: 978-1-4503-0336-1
Art. 74
International Conference on Multimedia Retrieval (ICMR) <1, 2011, Trento>
Conference Paper
Fraunhofer IDMT ()

This paper presents a demonstration of a technology for automated detection of errors and quality issues in audio-visual content. The extensible system, called AVInspector, consists of a signal processing core combined with detection modules for universally applicable audio-visual analysis. The detection modules include algorithms to assess blocking artefacts, picture freezes, clipping, dropouts and noise. The technology can be used for both a stand-alone application and as library for integration within professional products. Typical purposes are the automated observing and monitoring of audio-visual applications. This includes the automated analysis of audio and video material at ingest or within an archive, real-time observations of streaming services and broadcasts as well as the assessment of transcoding results for multi-platform playout.