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Proceedings Paper

Forming valid scales for subjective video quality measurement based on a hybrid qualitative/quantitative methodology
Author(s): T. Virtanen; J. Radun; P. Lindroos; S. Suomi; T. Säämänen; T. Vuori; M. Vaahteranoksa; G. Nyman
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Paper Abstract

This study presents a methodology of forming contextually valid scales for subjective video quality measurement. Any single value of quality e.g. Mean Opinion Score (MOS) can have multiple underlying causes. Hence this kind of a quality measure is not enough for example, in describing the performance of a video capturing device. By applying Interpretation Based Quality (IBQ) method as a qualitative/quantitative approach we have collected attributes familiar to the end user and that are extracted directly from the material offered by the observers' comments. Based on these findings we formed contextually valid assessment scales from the typically used quality attributes. A large set of data was collected from 138 observers to generate the video quality vocabulary. Video material was shot by three types of video cameras: Digital video cameras (4), digital still cameras (9) and mobile phone cameras (9). From the quality vocabulary, we formed 8 unipolar 11-point scales to get better insight of video quality. Viewing conditions were adjusted to meet the ITU-T Rec. P.910 requirements. It is suggested that the applied qualitative/quantitative approach is especially efficient for finding image quality differences in video material where the quality variations are multidimensional in nature and especially when image quality is rather high.

Paper Details

Date Published: 28 January 2008
PDF: 11 pages
Proc. SPIE 6808, Image Quality and System Performance V, 68080M (28 January 2008); doi: 10.1117/12.765831
Show Author Affiliations
T. Virtanen, Univ. of Helsinki (Finland)
J. Radun, Univ. of Helsinki (Finland)
P. Lindroos, Univ. of Helsinki (Finland)
S. Suomi, Univ. of Helsinki (Finland)
T. Säämänen, Univ. of Helsinki (Finland)
T. Vuori, Nokia Technology Platforms (Finland)
M. Vaahteranoksa, Nokia Technology Platforms (Finland)
G. Nyman, Univ. of Helsinki (Finland)


Published in SPIE Proceedings Vol. 6808:
Image Quality and System Performance V
Susan P. Farnand; Frans Gaykema, Editor(s)

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