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Modeling the overall quality of experience on the basis of underlying quality dimensions
In several Quality of Experience (QoE) assessment disciplines it has become common practice to not only assess the overall QoE but also underlying quality dimensions. However, in most cases the relation between the underlying quality dimensions and the overall QoE is not clear. In addition, it is no...
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Main Authors: | , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | In several Quality of Experience (QoE) assessment disciplines it has become common practice to not only assess the overall QoE but also underlying quality dimensions. However, in most cases the relation between the underlying quality dimensions and the overall QoE is not clear. In addition, it is not known which method provides the best results when trying to model the overall QoE on the basis of its underlying quality dimensions. To provide new ideas and applicable approaches for the QoE community, four different approaches to model the overall QoE are presented in this paper. To this end, the use case QoE of transmitted speech with its underlying perceptual quality dimensions is used. Based on three available databases, linear regression, multivariate adaptive regression splines, peak rule, and a combination of linear regression and peak rule are presented and compared. The results and the discussion reveal new insights into the overall QoE modeling process of transmitted speech and allows for drawing conclusions regarding other QoE disciplines. |
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ISSN: | 2472-7814 |
DOI: | 10.1109/QoMEX.2017.7965647 |