Multidimensional QoE Estimation of Multi-View Video and Audio (MVV-A) IP Transmission

Toshiro NUNOME; Shuji TASAKA

doi:10.1587/transcom.E98.B.515

Multidimensional QoE Estimation of Multi-View Video and Audio (MVV-A) IP Transmission

Toshiro NUNOME, Shuji TASAKA

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In this paper, we propose a framework for the real-time estimation of a multidimensional QoE of Multi-View Video and Audio (MVV-A) IP transmission. The framework utilizes linear multiple regression analysis with application-level and transport-level QoS parameters which can be measured in real time. In order to cope with a variety of MVV-A usage-situations, we introduce the concept of usage-situation type for grouping usage-situations with similar features to apply a representative regression line. We deal with two contents, two camera arrangements, and two user interfaces for viewpoint change as representative examples of the usage-situations. We assess multidimensional QoE of MVV-A with various types of average load, playout buffering time, and delay in the network. We then conduct the multiple regression analysis for the multidimensional QoE values represented by a psychological scale. From the comparison of measured values and estimated ones, we notice that real-time estimation of QoE is feasible in MVV-A IP transmission.

Publication: IEICE TRANSACTIONS on Communications Vol.E98-B No.3 pp.515-524

Publication Date: 2015/03/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E98.B.515

Type of Manuscript: PAPER

Category: Multimedia Systems for Communications

Authors

Toshiro NUNOME
Nagoya Institute of Technology
Shuji TASAKA
Nagoya Industrial Science Research Institute

Keyword

multi-view video and audio, QoE estimation, linear regression analysis, multidimensional assessment

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Toshiro NUNOME, Shuji TASAKA, "Multidimensional QoE Estimation of Multi-View Video and Audio (MVV-A) IP Transmission" in IEICE TRANSACTIONS on Communications, vol. E98-B, no. 3, pp. 515-524, March 2015, doi: 10.1587/transcom.E98.B.515.
Abstract: In this paper, we propose a framework for the real-time estimation of a multidimensional QoE of Multi-View Video and Audio (MVV-A) IP transmission. The framework utilizes linear multiple regression analysis with application-level and transport-level QoS parameters which can be measured in real time. In order to cope with a variety of MVV-A usage-situations, we introduce the concept of usage-situation type for grouping usage-situations with similar features to apply a representative regression line. We deal with two contents, two camera arrangements, and two user interfaces for viewpoint change as representative examples of the usage-situations. We assess multidimensional QoE of MVV-A with various types of average load, playout buffering time, and delay in the network. We then conduct the multiple regression analysis for the multidimensional QoE values represented by a psychological scale. From the comparison of measured values and estimated ones, we notice that real-time estimation of QoE is feasible in MVV-A IP transmission.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.515/_p

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@ARTICLE{e98-b_3_515,
author={Toshiro NUNOME, Shuji TASAKA, },
journal={IEICE TRANSACTIONS on Communications},
title={Multidimensional QoE Estimation of Multi-View Video and Audio (MVV-A) IP Transmission},
year={2015},
volume={E98-B},
number={3},
pages={515-524},
abstract={In this paper, we propose a framework for the real-time estimation of a multidimensional QoE of Multi-View Video and Audio (MVV-A) IP transmission. The framework utilizes linear multiple regression analysis with application-level and transport-level QoS parameters which can be measured in real time. In order to cope with a variety of MVV-A usage-situations, we introduce the concept of usage-situation type for grouping usage-situations with similar features to apply a representative regression line. We deal with two contents, two camera arrangements, and two user interfaces for viewpoint change as representative examples of the usage-situations. We assess multidimensional QoE of MVV-A with various types of average load, playout buffering time, and delay in the network. We then conduct the multiple regression analysis for the multidimensional QoE values represented by a psychological scale. From the comparison of measured values and estimated ones, we notice that real-time estimation of QoE is feasible in MVV-A IP transmission.},
keywords={},
doi={10.1587/transcom.E98.B.515},
ISSN={1745-1345},
month={March},}

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TY - JOUR
TI - Multidimensional QoE Estimation of Multi-View Video and Audio (MVV-A) IP Transmission
T2 - IEICE TRANSACTIONS on Communications
SP - 515
EP - 524
AU - Toshiro NUNOME
AU - Shuji TASAKA
PY - 2015
DO - 10.1587/transcom.E98.B.515
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2015
AB - In this paper, we propose a framework for the real-time estimation of a multidimensional QoE of Multi-View Video and Audio (MVV-A) IP transmission. The framework utilizes linear multiple regression analysis with application-level and transport-level QoS parameters which can be measured in real time. In order to cope with a variety of MVV-A usage-situations, we introduce the concept of usage-situation type for grouping usage-situations with similar features to apply a representative regression line. We deal with two contents, two camera arrangements, and two user interfaces for viewpoint change as representative examples of the usage-situations. We assess multidimensional QoE of MVV-A with various types of average load, playout buffering time, and delay in the network. We then conduct the multiple regression analysis for the multidimensional QoE values represented by a psychological scale. From the comparison of measured values and estimated ones, we notice that real-time estimation of QoE is feasible in MVV-A IP transmission.
ER -