Current work describes two evaluations in two different locations investigating possible differences in the experience of
quality of stereo 3DTV systems. Herein, the work presents the usage of the Open Profiling of Quality method. This
method allows going beyond up to now considered distinctive features (e.g., glasses wear comfort, brightness…). During
the first evaluation standardized display-settings were used for each tested system. In the second study all systems were
tested with their provided factory settings. Other factors like test stimuli, play out technology, laboratory settings, and
viewing position were strictly standardized. Additionally, influencing factors like spectacle frames and display design
have been minimized by using same eyeglass frames (but different technology) and hiding the display chassis. The
results of both evaluations show distinct influences of display technology on quality perception. This is affirmed by the
quality describing attributes deriving from the open profiling of quality method beyond the quantitative quality rating.
This influence has to be considered within subjective evaluation of quality in order to support test-retest reliability and
user centered approaches on quality evaluation of stereo 3D visualization. Different quality perception of different
display technologies was confirmed even under different TV settings.
This paper presents an approach using an extended model for the linkage of Quality of Experience with the technical
realization, making use of algorithmic developments in the field of free viewpoint video. The interlinking model of
Quality of Experience with the technical realization is implemented by taking into account subjective evaluation results
as well as possible variances of algorithmic processes. This is used to support the scalability and adaptability of the
system based on the end users' requirements. The problem is a missing link bringing together quality perception and
algorithm design in a quantitative and practical way. An extended model is defined after a detailed literature review
(taking into account existing approaches) showing the lack of an adequate way to link Quality of Experience with
algorithmic developments. The presented model includes prior evaluation activities on the subjective quality assessment
of free viewpoint video objects used within the context of video communication to support eye contact. However, quality
estimation in this particular use case has not been covered yet, and adequate approaches are missing. A methodological
approach to define quality influencing factors, and its results, are presented. An exemplary extended model using a
taxonomy approach is introduced. A description in detail of the interlinking model taking into account existing
evaluation results is given, and a way of weighting quality influencing factors therefore is outlined.
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