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Abstract

The subjective QoE methods are concerned with quantifying the experienced quality of the users. Because these methods measure the subjective quality in an unmediated manner, their measurements are commonly used as ‘ground truth’ for evaluation of other methods [1]. In an end-to-end approach for QoE management, subjective estimation and subjective models are of key importance. It allows for evaluating the performance of the system and enables the loop back signal that closes the control loop. In this chapter these subjective QoE methods are discussed. QoE estimation methods based on rating, Just Noticable Differences and difference scalling are presented as well as their computational counterparts that enable building of the QoE models.

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Menkovski, V. (2015). Subjective QoE Models. In: Computational Inference and Control of Quality in Multimedia Services. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-24792-2_3

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