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QoE Assessment for Multi-Video Object Based Media

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

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QoE Assessment for Multi-Video Object Based Media. / Lyko, Tomasz; Elkhatib, Yehia; Sparks, Michael et al.
2022 14th International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 2022.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Lyko, T, Elkhatib, Y, Sparks, M, Ramdhany, R & Race, N 2022, QoE Assessment for Multi-Video Object Based Media. in 2022 14th International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 2022 14th International Conference on Quality of Multimedia Experience (QoMEX), Lippstadt, Germany, 5/09/22. https://doi.org/10.1109/QoMEX55416.2022.9900905

APA

Lyko, T., Elkhatib, Y., Sparks, M., Ramdhany, R., & Race, N. (2022). QoE Assessment for Multi-Video Object Based Media. In 2022 14th International Conference on Quality of Multimedia Experience (QoMEX) IEEE. https://doi.org/10.1109/QoMEX55416.2022.9900905

Vancouver

Lyko T, Elkhatib Y, Sparks M, Ramdhany R, Race N. QoE Assessment for Multi-Video Object Based Media. In 2022 14th International Conference on Quality of Multimedia Experience (QoMEX). IEEE. 2022 doi: 10.1109/QoMEX55416.2022.9900905

Author

Lyko, Tomasz ; Elkhatib, Yehia ; Sparks, Michael et al. / QoE Assessment for Multi-Video Object Based Media. 2022 14th International Conference on Quality of Multimedia Experience (QoMEX). IEEE, 2022.

Bibtex

@inproceedings{c46509433e08468597468e5004cffd7b,
title = "QoE Assessment for Multi-Video Object Based Media",
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.",
author = "Tomasz Lyko and Yehia Elkhatib and Michael Sparks and Rajiv Ramdhany and Nicholas Race",
note = "{\textcopyright}2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ; 2022 14th International Conference on Quality of Multimedia Experience (QoMEX), QoMEX 2022 ; Conference date: 05-09-2022 Through 07-09-2022",
year = "2022",
month = sep,
day = "7",
doi = "10.1109/QoMEX55416.2022.9900905",
language = "English",
isbn = "9781665487955",
booktitle = "2022 14th International Conference on Quality of Multimedia Experience (QoMEX)",
publisher = "IEEE",
url = "https://qomex2022.itec.aau.at/",

}

RIS

TY - GEN

T1 - QoE Assessment for Multi-Video Object Based Media

AU - Lyko, Tomasz

AU - Elkhatib, Yehia

AU - Sparks, Michael

AU - Ramdhany, Rajiv

AU - Race, Nicholas

N1 - ©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2022/9/7

Y1 - 2022/9/7

N2 - 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.

AB - 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.

U2 - 10.1109/QoMEX55416.2022.9900905

DO - 10.1109/QoMEX55416.2022.9900905

M3 - Conference contribution/Paper

SN - 9781665487955

BT - 2022 14th International Conference on Quality of Multimedia Experience (QoMEX)

PB - IEEE

T2 - 2022 14th International Conference on Quality of Multimedia Experience (QoMEX)

Y2 - 5 September 2022 through 7 September 2022

ER -