This deliverable reports about the requirements for the development of the Quality of Experience (QoE) model for ACCORDION. The document focuses on a parametric-based monitoring models that can predict the mean opinion scores measuring the impact of impairments introduced by typical networks and compression on the quality experienced by users. The deliverable focuses on the OVR, PLEX and ORBK applications and its main objective is to plan the necessary steps supporting the development of QoE models. The deliverable includes information on the scope of the model, list of influencing factors, range of parameters per use case, model structure, test structure, and information about test setup, test participants, selection of stimuli, considered quality features, test procedure, condition plan and the tool that will be used for the subjective test. This report also provides the plan for future work.

ACCORDION D6.2 - Requirements on Quality Assessment I

Dazzi P
2021

Abstract

This deliverable reports about the requirements for the development of the Quality of Experience (QoE) model for ACCORDION. The document focuses on a parametric-based monitoring models that can predict the mean opinion scores measuring the impact of impairments introduced by typical networks and compression on the quality experienced by users. The deliverable focuses on the OVR, PLEX and ORBK applications and its main objective is to plan the necessary steps supporting the development of QoE models. The deliverable includes information on the scope of the model, list of influencing factors, range of parameters per use case, model structure, test structure, and information about test setup, test participants, selection of stimuli, considered quality features, test procedure, condition plan and the tool that will be used for the subjective test. This report also provides the plan for future work.
2021
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Rapporto intermedio di progetto
Quality assessment
Subjective test
QoE modeling
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/399632
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