Abstract
In order to study the influence of packet loss on the users’ quality of experience QoE and establish the Mapping model of the two when the video transmit in the network, building a NS2 + MyEvalvid simulation platform, by the method of modifying QoS parameters to simulate different degrees of packet loss, focus on the influence of packet loss on QoE and establish the mapping model between them. Experimental results show that, packet loss has a significant influence on Quality of experience. Packet loss rate and the Quality of experience presents a nonlinear relationship, and use Matlab to establish the mapping model, this model’s accuracy is high, easy to operate, can real-time detect packet loss has influence on the user’s quality of experience (QoE).
Similar content being viewed by others
References
Chen N, Jiang X, Wang C, Jia S (2011) Study on relationship between network video packet loss and video quality [C]. Int Cong Image Sign Proc 1:282–286
Huayong Liu, Lingyun Pan, Wenting Meng (2012) Key Frame Extraction from Online Video Based on Improved Frame Difference Optimization[A]. Proceedings of 2012 I.E. 14th International Conference on Communication Technology[C]
Hyun Jong Kim, Seong Gon Choi (2010) A study on a QoS/QoE correlation model for QoE evaluation on IPTV service [C] // proceedings of the12th International Conference on Advanced Communication Technology (ICACT)
Jasna Zei, Mesud Hadiali, Adisa Haskovi (2012) An approach to estimate correlation between QoS and perceptual video quality in packet-switched networks[C]. MIPRO, 2012 Proceedings of the 35th International Convention. IEEE, 573–578
Ke CH, Shieh CK, Hwang WS et al (2008) An evaluation framework for more realistic simulations of MPEG video transmission [J]. J Inf Sci Eng 24(2):425–440
Kim SH, Kim DI (2015) Performance tradeoff in two-zone based wireless powered communication networks [C] //2015 International Symposium on Wireless Communication Systems (ISWCS). IEEE, 286–290
Kim HJ, Park KH, Lee JS, et al (2011) Keeping Stability of Boiled-dried Anchovy Coated with an Invisible Edible Collagen Peptides Film During Storage[C]//2011 International symposium and annual meeting. 287–287
Kim HJ, Park KH, Lee JS, et al (2011) Keeping Stability of Boiled-dried Anchovy Coated with an Invisible Edible Collagen Peptides Film During Storage [C] //2011 International symposium and annual meeting, 287–287
Kühnel C, Scholz, K, Heute U (2008) Dimension-based Speech-Quality Assessment: Development of an Estimator of the Dimension‘Noisiness’ [C] //Voice Communication (SprachKommunikation), ITG Conference on. VDE, 2008: 1–4
Lin TL, Kanumuri S, Zhi Y et al (2010) A versatile model for packet loss visibility and its application to packet prioritization [J]. IEEE Trans Image Process 19(3):722–735
Mikoaj Leszczuk, Lucjan Janowski, Piotr Romaniak, Zdzisaw Papir (2011) Assessing quality of experience in high definition video streaming under diverse packet loss patterns [SD]. Image Communication, 137–143
Ni Chen, Xiuhua Jiang, Caihong Wang (2010) Impact of Packet Loss on the Perceived IPTV Video Quality [C]. CISP, 206–209
Qin Dai, Ralf Lehnert (2010) Impact of Packet Loss on the Perceived Video Quality [C]. International Conference on Evolving Internet, 206–209
Raake A, Schoenenberg K, Skowronek J, et al (2013) Predicting speech quality based on interactivity and delay [C] //INTERSPEECH, 1384–1388
Ramjee R, Kurose J, Towsley D, et al (1994) Adaptive playout mechanisms for packetized audio applications in wide-area networks [C] //INFOCOM’94. Networking for Global Communications., 13th Proceedings IEEE. IEEE, 680–688
Roccetti M, Ghini V, Pau G et al (2001) Design and experimental evaluation of an adaptive playout delay control mechanism for packetized audio for use over the internet [J]. Multimed Tools Appl 14(1):23–53
Sajad Khorsandroo, Rafidah Md Noor,Sayid Khorsandroo (2010) A Generic Quantitative Relationship between Quality of Experience and Packet Loss in Video Streaming [C], 24(2):36–41
Stalins N, Moens S, Van den Broeck W, Marien I, Vermeulen B, Lambert P, Van de Walle R, Demeester P (2010) Assessing quality of experience of IPTV and video on demand services in real-life environments. IEEE Transactions on Broadcasting
Sullivan GJ, Ohm JR, Han WJ et al (2012) Overview of the high efficiency video coding (HEVC) standard[J]. IEEE Transactions on circuits and systems for video technology 22(12):1649–1668
Tao S, Apostolopoulos J, Guérin R (2008) Real-time monitoring of video quality in IP networks [J]. IEEE Transactions on networking 16(5):1052–1065
Volk M, una J, Kos A, et al (2008) IPTV systems, standards and architectures: Part II-quality-assured provisioning of IPTV services within the NGN environment. IEEE Communications Magazine
Wang Z, Bovik AC (2009) Mean squared error: love it or leave it? a new look at signal fidelity measures [J]. IEEE Signal Process Mag 26(1):98–117
Xian-Gong W (2013) Research on multimedia data stream in network [C] //Intelligent Systems Design and Engineering Applications, 2013 Fourth International Conference on. IEEE, 498–502
Xin-Gong W (2013) Research on multimedia data stream in network[C]//intelligent systems design and engineering applications, fourth international conference on. IEEE 2013:498–502
Yu CY, Ke CH, Chen RS et al (2008) MyEvalvid_RTP: a evaluation framework for more realistic simulations of multimedia transmissions[J]. Int J Soft Eng Appl 2(2):21–32
Acknowledgment
This work was partially supported by the National Natural Science Foundation of China (No: 60963011, 61162009), the Jiangxi Natural Science Foundation of China (No: 2009GZS0022), and the Special Research Foundation of Shijiazhuang Tiedao University (No: Z9901501, 20133007), Beijing University of Technology and software institute Doctoral scholarship.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
ESM 1
(AVI 17836 kb)
Rights and permissions
About this article
Cite this article
Wang, J., bin Hou, Y. Packet loss rate mapped to the quality of experience. Multimed Tools Appl 77, 387–422 (2018). https://doi.org/10.1007/s11042-016-4254-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-016-4254-9