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Proceedings Paper

Audiovisual quality estimation of mobile phone video cameras with interpretation-based quality approach
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Paper Abstract

We present an effective method for comparing subjective audiovisual quality and the features related to the quality changes of different video cameras. Both quantitative estimation of overall quality and qualitative description of critical quality features are achieved by the method. The aim was to combine two image quality evaluation methods, the quantitative Absolute Category Rating (ACR) method with hidden reference removal and the qualitative Interpretation- Based Quality (IBQ) method in order to see how they complement each other in audiovisual quality estimation tasks. 26 observers estimated the audiovisual quality of six different cameras, mainly mobile phone video cameras. In order to achieve an efficient subjective estimation of audiovisual quality, only two contents with different quality requirements were recorded with each camera. The results show that the subjectively important quality features were more related to the overall estimations of cameras' visual video quality than to the features related to sound. The data demonstrated two significant quality dimensions related to visual quality: darkness and sharpness. We conclude that the qualitative methodology can complement quantitative quality estimations also with audiovisual material. The IBQ approach is valuable especially, when the induced quality changes are multidimensional.

Paper Details

Date Published: 29 January 2007
PDF: 11 pages
Proc. SPIE 6494, Image Quality and System Performance IV, 649403 (29 January 2007); doi: 10.1117/12.703317
Show Author Affiliations
Jenni E. Radun, Univ. of Helsinki (Finland)
Toni Virtanen, Univ. of Helsinki (Finland)
Jean-Luc Olives, Nokia (Finland)
Mikko Vaahteranoksa, Nokia (Finland)
Tero Vuori, Nokia (Finland)
Göte Nyman, Univ. of Helsinki (Finland)

Published in SPIE Proceedings Vol. 6494:
Image Quality and System Performance IV
Luke C. Cui; Yoichi Miyake, Editor(s)

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