Cognitive video quality analysis

Darrell L. Young; Charles Li

doi:10.1117/12.2018217

31 May 2013 Cognitive video quality analysis

Darrell L. Young, Charles Li

Proceedings Volume 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X; 87130Y (2013) https://doi.org/10.1117/12.2018217
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Measured indicators such as resolution, blur, noise and artifact estimates are used to predict video interpretability. The indicators show the effect of compression, lost packets, and enhancements. The indicators and metadata-derived resolution can also be used to select appropriate algorithms for further enhancement or exploitation.

Citation Download Citation

Darrell L. Young and Charles Li "Cognitive video quality analysis", Proc. SPIE 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X, 87130Y (31 May 2013); https://doi.org/10.1117/12.2018217

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