Paper
24 January 2012 Linking quality assessment of free-viewpoint video objects up with algorithm development
Author Affiliations +
Proceedings Volume 8293, Image Quality and System Performance IX; 82930U (2012) https://doi.org/10.1117/12.906582
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Kepplinger "Linking quality assessment of free-viewpoint video objects up with algorithm development", Proc. SPIE 8293, Image Quality and System Performance IX, 82930U (24 January 2012); https://doi.org/10.1117/12.906582
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KEYWORDS
Video

Cameras

Algorithm development

Image processing

Eye models

Quantum efficiency

Image segmentation

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