Optimized Tile Quality Selection in Multi-User 360° Video Streaming

360° videos and virtual reality (VR) are among the defining applications for a new era of immersive multimedia technologies. However, streaming high-quality 360° videos constitutes a challenge for service providers and network operators, especially in multi-user scenarios. The...

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Main Authors: Moatasim Mahmoud, Stamatia Rizou, Andreas S. Panayides, Nikolaos V. Kantartzis, George K. Karagiannidis, Pavlos I. Lazaridis, Zaharias D. Zaharis
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10753298/
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author Moatasim Mahmoud
Stamatia Rizou
Andreas S. Panayides
Nikolaos V. Kantartzis
George K. Karagiannidis
Pavlos I. Lazaridis
Zaharias D. Zaharis
author_facet Moatasim Mahmoud
Stamatia Rizou
Andreas S. Panayides
Nikolaos V. Kantartzis
George K. Karagiannidis
Pavlos I. Lazaridis
Zaharias D. Zaharis
author_sort Moatasim Mahmoud
collection DOAJ
description 360° videos and virtual reality (VR) are among the defining applications for a new era of immersive multimedia technologies. However, streaming high-quality 360° videos constitutes a challenge for service providers and network operators, especially in multi-user scenarios. The massive data rates and the unique features of omnidirectional videos necessitate the development of novel streaming techniques. In this paper, we propose an optimized multi-user tiled 360° video streaming framework. Specifically, we formulate the problem of tile quality selection in multi-user bandwidth-constrained communications and propose an algorithm that assigns the quality levels of transmitted tiles. The proposed framework is designed to maximize the perceived quality within the users’ viewports by considering 360° video quality assessment (360° VQA) metrics and tile viewing percentages. To simulate our solution in practical settings, we employ a long short-term memory (LSTM) model to perform viewport prediction and make the assessment based on real-life viewing data. Simulation results of our proposed framework show significant improvement in the delivered viewports’ quality and robustness against increasing the number of users.
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institution OA Journals
issn 2644-125X
language English
publishDate 2024-01-01
publisher IEEE
record_format Article
series IEEE Open Journal of the Communications Society
spelling doaj-art-36baa2a4d48d408a9de171e16e6ca14b2025-08-20T01:52:44ZengIEEEIEEE Open Journal of the Communications Society2644-125X2024-01-0157301731610.1109/OJCOMS.2024.349833410753298Optimized Tile Quality Selection in Multi-User 360° Video StreamingMoatasim Mahmoud0https://orcid.org/0009-0002-7552-5533Stamatia Rizou1Andreas S. Panayides2https://orcid.org/0000-0001-9829-7946Nikolaos V. Kantartzis3https://orcid.org/0000-0003-0959-7838George K. Karagiannidis4https://orcid.org/0000-0001-8810-0345Pavlos I. Lazaridis5https://orcid.org/0000-0001-5091-2567Zaharias D. Zaharis6https://orcid.org/0000-0002-4548-282XResearch and Development Department, Singular Logic, Cholargos, GreeceResearch and Development Department, Singular Logic, Cholargos, GreeceVIDEOMICS Group, CYENS Centre of Excellence, Nicosia, CyprusSchool of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, GreeceSchool of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, GreeceSchool of Computing and Engineering, University of Huddersfield, Huddersfield, U.K.School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece360° videos and virtual reality (VR) are among the defining applications for a new era of immersive multimedia technologies. However, streaming high-quality 360° videos constitutes a challenge for service providers and network operators, especially in multi-user scenarios. The massive data rates and the unique features of omnidirectional videos necessitate the development of novel streaming techniques. In this paper, we propose an optimized multi-user tiled 360° video streaming framework. Specifically, we formulate the problem of tile quality selection in multi-user bandwidth-constrained communications and propose an algorithm that assigns the quality levels of transmitted tiles. The proposed framework is designed to maximize the perceived quality within the users’ viewports by considering 360° video quality assessment (360° VQA) metrics and tile viewing percentages. To simulate our solution in practical settings, we employ a long short-term memory (LSTM) model to perform viewport prediction and make the assessment based on real-life viewing data. Simulation results of our proposed framework show significant improvement in the delivered viewports’ quality and robustness against increasing the number of users.https://ieeexplore.ieee.org/document/10753298/Video streamingvideo quality assessment (VQA)virtual reality (VR)360° videos
spellingShingle Moatasim Mahmoud
Stamatia Rizou
Andreas S. Panayides
Nikolaos V. Kantartzis
George K. Karagiannidis
Pavlos I. Lazaridis
Zaharias D. Zaharis
Optimized Tile Quality Selection in Multi-User 360° Video Streaming
IEEE Open Journal of the Communications Society
Video streaming
video quality assessment (VQA)
virtual reality (VR)
360° videos
title Optimized Tile Quality Selection in Multi-User 360° Video Streaming
title_full Optimized Tile Quality Selection in Multi-User 360° Video Streaming
title_fullStr Optimized Tile Quality Selection in Multi-User 360° Video Streaming
title_full_unstemmed Optimized Tile Quality Selection in Multi-User 360° Video Streaming
title_short Optimized Tile Quality Selection in Multi-User 360° Video Streaming
title_sort optimized tile quality selection in multi user 360 x00b0 video streaming
topic Video streaming
video quality assessment (VQA)
virtual reality (VR)
360° videos
url https://ieeexplore.ieee.org/document/10753298/
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