Abstract
The cutting-edge evolution of mobile communication systems and Internet technologies in nowadays transitional period from the information age to the experience age has brought attention to the evolving virtual reality (VR) and augmented reality (AR) applications and moves towards the development of holographic telepresence systems. Since these applications are devoted in creating immersive and interactive experiences, the quality of experience (QoE) as it is perceived by the end-users will become fundamental constituent in their performance evaluation process. In this paper, the significance of QoE in the development and implementation of the emerging technologies of VR and holographic telepresence systems is analyzed. Moreover, the QoE influencing factors for VR applications and the distinction among this evolving technology and the conventional 2D video content are outlined. Furthermore, a classification of the QoE assessment methods, together with an analysis of the more significant metrics with regard to VR applications is presented.
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References
Brunnström, K., et al.: Qualinet white paper on definitions of quality of experience. In: Fifth Qualinet Meeting, Novi Sad (2013)
ITU-T, Rec. ITU-T P.10/G.100: Vocabulary for performance, quality of service and quality of experience (2017)
ITU-T. Rec. ITU-T G.1035: Influencing factors on quality of experience for virtual reality services (2020)
Reiter, U., et al.: Factors influencing quality of experience. In: Möller, S., Raake, A. (eds.) Quality of Experience. TSTS, pp. 55–72. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-02681-7_4
Burbeck, C.A., Kelly, D.H.: Spatiotemporal characteristics of visual mechanisms: excitatory-inhibitory model. J. Opt. Soc. Am. 70(9), 1121–1126 (1980)
Greenberg, S., Ainsworth, W.A.: Speech processing in the auditory system: an overview. In: Speech Processing in the Auditory System. Springer Handbook of Auditory Research, vol. 18. Springer, NY (2004). https://doi.org/10.1007/0-387-21575-1_1
Kennedy, R.S., Lane, N.E., Berbaum, K.S., Lilienthal, M.G.: Simulator sickness questionnaire: an enhanced method for quantifying simulator sickness. Int. J. Aviat. Psychol. 3(3), 203–220 (1993)
Schatz, R., Hoßfeld, T., Janowski, L., Egger, S.: From packets to people: quality of experience as a new measurement challenge. In: Biersack, E., Callegari, C., Matijasevic, M. (eds.) Data Traffic Monitoring and Analysis. LNCS, vol. 7754, pp. 219–263. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-36784-7_10
Takahash, A.: Framework and standardization of quality of experience (QoE) design and management for audiovisual communication services. NTT Tech. Rev. 7(4), 1–5 (2009)
ITU-T, Rec. ITU-T P.800.1: Mean Opinion Score (MOS) Terminology (2006)
Alreshoodi, M.A., Woods, J.C.: Survey on QoE/QoS correlation models for multimedia services. Int. J. Distrib. Parallel Syst. 4(3) (2013)
Zhang, Y., et al.: Subjective panoramic video quality assessment database for coding applications. IEEE Trans. Broadcast. 64(2), 461–473 (2018)
ITU-T, Rec. ITU-T P.910: Subjective video quality assessment methods for multimedia applications (2008)
ITU-T, Rec. ITU-T P.919: Subjective test methodologies for 360º video on head-mounted displays (2020)
Singla, A., Robitza, W., Raake, A.: Comparison of subjective quality test methods for omnidirectional video quality evaluation. In: Proceedings of the MMSP 2019, Kuala Lumpur (2019)
Kim, H.K., Park, J., Choi, Y., Choe, M.: Virtual reality sickness questionnaire (VRSQ): motion sickness measurement index in a virtual reality environment. Appl. Ergon. 69, 66–73 (2018)
Perez, P., Oyaga, N., Ruiz, J.J., Villegas, A.: Towards systematic analysis of cybersickness in high motion omnidirectional video. In: Proceedings of the QoMEX 2018, Cagliari (2018)
David, E.J., Gutiérrez, J., Coutrot, A., Da Silva, M.P., Le Callet, P.: A dataset of head and eye movements for 360° videos. In: Proceedings of the MMSys 2018, Amsterdam (2018)
Wang, Y., Zhang, P.: QoE Management in Wireless Networks, Springer, NY (2016). https://doi.org/10.1007/978-3-319-42454-5
ITU-T, Rec. ITU-T G.1011: Reference guide to quality of experience assessment methodologies (2016)
Fiedler, M., Hossfeld, T., Tran-Gia, P.: A generic quantitative relationship between quality of experience and quality of service. IEEE Netw. 24(2), 36–41 (2010)
Juluri, P., Tamarapalli, V., Medhi, D.: Measurement of quality of experience of video-on-demand services: a survey. IEEE Commun. Surv. Tutor. 18(1), 401–418 (2015)
Song, W., Tjondronegoro, D.W., Docherty, M.J.: Understanding user experience of mobile video: framework, measurement, and optimization. In: Mobile Multimedia - User and Technology Perspectives, InTech, Rijeka, pp. 3–30 (2012)
Vega, M.T., Perra, C., De Turck, F., Liotta, A.: A review of predictive quality of experience management in video streaming services. IEEE Trans. Broadcast. 64(2), 432–445 (2018)
Ruan, J., Xie, D.: A survey on QoE-oriented VR video streaming: some research issues and challenges. Electronics 10(17), 2155 (2021)
Liu, Y., Yang, L., Xu, M., Wang, Z.: Rate control schemes for panoramic video coding. J. Vis. Commun. Image Represent. 53, 76–85 (2018)
Zakharchenko, V., Choi, K.P., Park, J.H.: Quality metric for spherical panoramic video. In: Proceedings of the SPIE Optics + Photonics 2016, San Diego, CA (2016)
Chen, S., Zhang, Y., Li, Y., Chen, Z., Wang, Z.: Spherical structural similarity index for objective omnidirectional video quality assessment. In: Proceedings of the IEEE ICME 2018, San Diego, CA (2018)
Tataria, H., Shafi, M., Molisch, A.F., Dohler, M., Sjöland, H., Tufvesson, F.: 6G wireless systems: vision, requirements, challenges, insights, and opportunities. Proc. IEEE 109(7), 1166–1199 (2021)
Clemm, A., Vega, M.T., Ravuri, H.K., Wauters, T., De Turck, F.: Toward truly immersive holographic-type communication: challenges and solutions. IEEE Commun. Mag. 58(1), 93–99 (2020)
Shu, J., Chiu, M., Hui, P.: Emotion sensing for mobile computing. IEEE Commun. Mag. 57(11), 84–90 (2019)
Acknowledgement
This work was supported by the European Union, through the Horizon 2020 Marie Skodowska-Curie Innovative Training Networks Programme “Mobility and Training for beyond 5G Ecosystems (MOTOR5G)” under grant agreement no. 861219.
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Kougioumtzidis, G., Poulkov, V., Zaharis, Z., Lazaridis, P. (2022). QoE Assessment Aspects for Virtual Reality and Holographic Telepresence Applications. In: Perakovic, D., Knapcikova, L. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-031-15101-9_12
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