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4 February 2013Evaluation of differences in quality of experience features for test stimuli of good-only and bad-only overall audiovisual quality
Assessing audiovisual Quality of Experience (QoE) is a key element to ensure quality acceptance of today's
multimedia products. The use of descriptive evaluation methods allows evaluating QoE preferences and the
underlying QoE features jointly. From our previous evaluations on QoE for mobile 3D video we found that
mainly one dimension, video quality, dominates the descriptive models. Large variations of the visual video
quality in the tests may be the reason for these findings. A new study was conducted to investigate whether test
sets of low QoE are described differently than those of high audiovisual QoE. Reanalysis of previous data sets
seems to confirm this hypothesis. Our new study consists of a pre-test and a main test, using the Descriptive
Sorted Napping method. Data sets of good-only and bad-only video quality were evaluated separately. The
results show that the perception of bad QoE is mainly determined one-dimensionally by visual artifacts, whereas
the perception of good quality shows multiple dimensions. Here, mainly semantic-related features of the content
and affective descriptors are used by the naïve test participants. The results show that, with increasing QoE
of audiovisual systems, content semantics and users' a_ective involvement will become important for assessing
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Dominik Strohmeier, Kristina Kunze, Klemens Göbel, Judith Liebetrau, "Evaluation of differences in quality of experience features for test stimuli of good-only and bad-only overall audiovisual quality," Proc. SPIE 8653, Image Quality and System Performance X, 86530B (4 February 2013);