A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications

Moatasim Mahmoud; Stamatia Rizou Rizou Stamatia; Andreas S. Panayides; Pavlos I. Lazaridis; Nikolaos V. Kantartzis; George K. Karagiannidis; Zaharias D. Zaharis

doi:10.1109/PACET60398.2024.10497019

A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications

Moatasim Mahmoud, Stamatia Rizou Rizou Stamatia, Andreas S. Panayides, Pavlos I. Lazaridis, Nikolaos V. Kantartzis, George K. Karagiannidis, Zaharias D. Zaharis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, we implement multiple techniques for predicting users viewing directions while watching 360° videos. We utilize historical viewing traces to forecast future directions based on a real-life head tracking dataset. We compare the performance of linear regression (LR), artificial neural networks (ANN), long short-term memory (LSTM), and convolutional neural networks (CNN). We assess their efficiency in terms of viewing angles prediction errors. We also investigate tile viewing prediction in tile-based 360° video transmission scenarios. We built two classifiers based on ANN and LSTM to predict watched tiles and provide an evaluation of their performance in this article.

Original language	English
Title of host publication	2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	4
ISBN (Electronic)	9798350318845
ISBN (Print)	9798350318852
DOIs	https://doi.org/10.1109/PACET60398.2024.10497019
Publication status	Published - 16 Apr 2024
Event	2024 Panhellenic Conference on Electronics and Telecommunications - Thessaloniki, Greece Duration: 28 Mar 2024 → 29 Mar 2024 https://pacet2024.web.auth.gr/

Conference

Conference	2024 Panhellenic Conference on Electronics and Telecommunications
Abbreviated title	PACET 2024
Country/Territory	Greece
City	Thessaloniki
Period	28/03/24 → 29/03/24
Internet address	https://pacet2024.web.auth.gr/

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10.1109/PACET60398.2024.10497019Licence: Unspecified

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Mahmoud, M., Stamatia, S. R. R., Panayides, A. S., Lazaridis, P. I., Kantartzis, N. V., Karagiannidis, G. K., & Zaharis, Z. D. (2024). A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications. In 2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024 - Proceedings [10497019] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PACET60398.2024.10497019

@inproceedings{abc7bb7761a04514ae407c4a5f166722,

title = "A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications",

abstract = "In this work, we implement multiple techniques for predicting users viewing directions while watching 360° videos. We utilize historical viewing traces to forecast future directions based on a real-life head tracking dataset. We compare the performance of linear regression (LR), artificial neural networks (ANN), long short-term memory (LSTM), and convolutional neural networks (CNN). We assess their efficiency in terms of viewing angles prediction errors. We also investigate tile viewing prediction in tile-based 360° video transmission scenarios. We built two classifiers based on ANN and LSTM to predict watched tiles and provide an evaluation of their performance in this article.",

keywords = "360°, Deep Learning, Videos, Viewport Prediction, Virtual Reality (VR)",

author = "Moatasim Mahmoud and Stamatia, {Stamatia Rizou Rizou} and Panayides, {Andreas S.} and Lazaridis, {Pavlos I.} and Kantartzis, {Nikolaos V.} and Karagiannidis, {George K.} and Zaharis, {Zaharias D.}",

note = "Funding Information: This research was supported by the European Union, through the Horizon 2020 Marie Sk\u0142odowska-Curie Innovative Training Networks Programme \{"}Mobility and Training for beyond 5G Ecosystems (MOTOR5G)\{"} under grant agreement no. 861219. Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024 ; Conference date: 28-03-2024 Through 29-03-2024",

year = "2024",

month = apr,

day = "16",

doi = "10.1109/PACET60398.2024.10497019",

language = "English",

isbn = "9798350318852",

booktitle = "2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

url = "https://pacet2024.web.auth.gr/",

}

Mahmoud, M, Stamatia, SRR, Panayides, AS, Lazaridis, PI, Kantartzis, NV, Karagiannidis, GK & Zaharis, ZD 2024, A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications. in 2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024 - Proceedings., 10497019, Institute of Electrical and Electronics Engineers Inc., 2024 Panhellenic Conference on Electronics and Telecommunications, Thessaloniki, Greece, 28/03/24. https://doi.org/10.1109/PACET60398.2024.10497019

A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications. / Mahmoud, Moatasim; Stamatia, Stamatia Rizou Rizou; Panayides, Andreas S. et al.

2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2024. 10497019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications

AU - Mahmoud, Moatasim

AU - Stamatia, Stamatia Rizou Rizou

AU - Panayides, Andreas S.

AU - Lazaridis, Pavlos I.

AU - Kantartzis, Nikolaos V.

AU - Karagiannidis, George K.

AU - Zaharis, Zaharias D.

N1 - Funding Information: This research was supported by the European Union, through the Horizon 2020 Marie Sk\u0142odowska-Curie Innovative Training Networks Programme \"Mobility and Training for beyond 5G Ecosystems (MOTOR5G)\" under grant agreement no. 861219. Publisher Copyright: © 2024 IEEE.

PY - 2024/4/16

Y1 - 2024/4/16

N2 - In this work, we implement multiple techniques for predicting users viewing directions while watching 360° videos. We utilize historical viewing traces to forecast future directions based on a real-life head tracking dataset. We compare the performance of linear regression (LR), artificial neural networks (ANN), long short-term memory (LSTM), and convolutional neural networks (CNN). We assess their efficiency in terms of viewing angles prediction errors. We also investigate tile viewing prediction in tile-based 360° video transmission scenarios. We built two classifiers based on ANN and LSTM to predict watched tiles and provide an evaluation of their performance in this article.

AB - In this work, we implement multiple techniques for predicting users viewing directions while watching 360° videos. We utilize historical viewing traces to forecast future directions based on a real-life head tracking dataset. We compare the performance of linear regression (LR), artificial neural networks (ANN), long short-term memory (LSTM), and convolutional neural networks (CNN). We assess their efficiency in terms of viewing angles prediction errors. We also investigate tile viewing prediction in tile-based 360° video transmission scenarios. We built two classifiers based on ANN and LSTM to predict watched tiles and provide an evaluation of their performance in this article.

KW - 360°

KW - Deep Learning

KW - Videos

KW - Viewport Prediction

KW - Virtual Reality (VR)

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U2 - 10.1109/PACET60398.2024.10497019

DO - 10.1109/PACET60398.2024.10497019

M3 - Conference contribution

AN - SCOPUS:85191657659

SN - 9798350318852

BT - 2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2024 Panhellenic Conference on Electronics and Telecommunications

Y2 - 28 March 2024 through 29 March 2024

ER -

Mahmoud M, Stamatia SRR, Panayides AS, Lazaridis PI, Kantartzis NV, Karagiannidis GK et al. A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications. In 2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2024. 10497019 doi: 10.1109/PACET60398.2024.10497019

A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications

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A Comparative Analysis of Viewing Prediction Techniques for 360° Video Streaming Applications

Cite this