Paper
26 February 2007 Experienced quality factors: qualitative evaluation approach to audiovisual quality
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Proceedings Volume 6507, Multimedia on Mobile Devices 2007; 65070M (2007) https://doi.org/10.1117/12.699797
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Subjective evaluation is used to identify impairment factors of multimedia quality. The final quality is often formulated via quantitative experiments, but this approach has its constraints, as subject's quality interpretations, experiences and quality evaluation criteria are disregarded. To identify these quality evaluation factors, this study examined qualitatively the criteria participants used to evaluate audiovisual video quality. A semi-structured interview was conducted with 60 participants after a subjective audiovisual quality evaluation experiment. The assessment compared several, relatively low audio-video bitrate ratios with five different television contents on mobile device. In the analysis, methodological triangulation (grounded theory, Bayesian networks and correspondence analysis) was applied to approach the qualitative quality. The results showed that the most important evaluation criteria were the factors of visual quality, contents, factors of audio quality, usefulness - followability and audiovisual interaction. Several relations between the quality factors and the similarities between the contents were identified. As a research methodological recommendation, the focus on content and usage related factors need to be further examined to improve the quality evaluation experiments.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Satu Jumisko-Pyykkö, Jukka Häkkinen, and Göte Nyman "Experienced quality factors: qualitative evaluation approach to audiovisual quality", Proc. SPIE 6507, Multimedia on Mobile Devices 2007, 65070M (26 February 2007); https://doi.org/10.1117/12.699797
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Cited by 49 scholarly publications.
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KEYWORDS
Visualization

Video

Multimedia

Image quality

Data modeling

Televisions

Analytical research

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