QoE Assessment for Multi-Video Object Based Media

Lyko, Tomasz and Elkhatib, Yehia and Sparks, Michael and Ramdhany, Rajiv and Race, Nicholas (2022) QoE Assessment for Multi-Video Object Based Media. In: 2022 14th International Conference on Quality of Multimedia Experience (QoMEX). IEEE, DEU. ISBN 9781665487955 (In Press)

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Abstract

Recent multimedia experiences using techniques such as DASH allow the streaming delivery to be adapted to suit network context. Object Based Media (OBM) provides even more flexibility as distinct media objects are streamed and combined based on user preferences, allowing the experience to be personalised for the user. As adaptation can lead to degradation, modelling and measuring Quality of Experience (QoE) are crucial to ensure a perceptibly-optimal user experience. QoE models proposed for DASH include quality-related factors from single video-object streams and hence, are unsuitable for multi-video OBM experiences. In this paper, we propose an objective method to quantify QoE for video-based OBM experiences. Our model provides different strategies to aggregate individual object QoE contributions for different OBM experience genres. We apply our model to a case study and contrast it with the QoE levels obtained using a standard QoE model for DASH.

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Contribution in Book/Report/Proceedings
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ID Code:
174505
Deposited By:
Deposited On:
06 Oct 2022 15:25
Refereed?:
Yes
Published?:
In Press
Last Modified:
04 Dec 2022 01:28