Linking quality assessment of free-viewpoint video objects up with algorithm development

摘要

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.