Suitability of Transport Techniques for Video Transmission in IP Networks

Tadeus Uhl, Janusz Klink, Christian Hoppe


The paper discusses the problem of video transmission in an IP network. The authors consider the ability of using the most popular video codecs that use both the MPEG2 Transport Stream and Dynamic Adaptive Streaming over Hypertext Transfer Protocol (DASH). The main emphasis was given to ensuring the quality of service and quality assessment methods, taking into account not only the service- or network provider’s point of view but also the end user’s perspective. Two quality assessment approaches were presented, i.e. objective and subjective methods. The authors presented the results of the quality evaluation for H.264/MPEG-4, H.265/HEVC and VP9 codecs. The objective measurements, proved by statistical analysis of user opinion scores, confirmed the ability of using H.265 and VP9 codecs in both real time and streaming transmissions, while the quality of video streaming over HTTP with the H.264 codec proved inadequate. The authors also presented a connection between the dynamics of network bandwidth changing and MPEG-DASH mechanism operation and their influence on the
quality experienced by users.

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”Cisco Visual Netw. Index: Forecast and Methodology, 2016-2021”, San Jose, CA, USA, Cisco Syst., Inc., White Paper 2017, Last view: October 2019.

”Cisco Visual Networking Index: Global Mobile Data Traffic, 2017-2022”, San Jose, CA, USA, Cisco Syst., Inc., White Paper 2017, Last view: October 2019.

”Digital Video Broadcasting (DVB); Specification for Service Information (SI) in DVB systems”, ETSI EN 300 468 V1.13.1, 2012.

I. Sodagar, “The MPEG-dash standard for multimedia streaming over the internet”, IEEE Multimedia, 2011.

T. Stockhammer, “Dynamic adaptive streaming over HTTP - Standards and design principles”, in MMSys’11 - Proceedings of the 2011 ACM Multimedia Systems Conference, 2011.

C. Sieber, T. Hosfeld, T. Zinner, P. Tran-Gia, and C. Timmerer, “Implementation and user-centric comparison of a novel adaptation logic for DASH with SVC”, in Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management, IM 2013, 2013.

T. C. Thang, Q. D. Ho, J. W. Kang, and A. T. Pham, “Adaptive streaming of audiovisual content using MPEG DASH”, IEEE Transactions on Consumer Electronics, 2012.

L. Pozueco, X. G. Paneda, R. Garcia, D. Melendi, S. Cabrero, and G. D. Orueta, “Adaptation engine for a streaming service based on MPEG DASH”, Multimedia Tools and Applications, 2015.

ITU-T J.343, ”Hybrid perceptual bitstream models for objective video quality measurements”, International Telecommunication Union Recommendation (2014),; Last view: October 2019.

M. Leszczuk, K. Kowalczyk, L. Janowski, and Z. Papir, “Lightweight implementation of No-Reference (NR) perceptual quality assessment of H.264/AVC compression”, Signal Processing: Image Comm., 2015.

J. Nawała, L. Janowski, and M. Leszczuk, “Modeling of quality of experience in no-reference model”, Journal of Telecommunications and Information Technology, 2017.

K. Nowicki and T. Uhl, ”QoS/QoE in the Heterogeneous Internet of Things (IoT)”, Chapter in monograph: Beyond the Internet of Things, Springer Int. Publishing, ISBN 978-3-319-50756-9, pp. 165-196 (2017).

ITU-T J.247, ”Objective perceptual multimedia video quality measurement in the presence of a full reference”, ITU Recommendation (08/2008),; Last view: October 2019.

ITU-T J.341, ”Objective perceptual multimedia video quality measurement of HDTV for digital cable television in the

presence of a full reference”, ITU Recommendation (03/2016),; Last view: October 2019.

D. Johnson, ”Signal-to-noise ratio”,; Last view: October 2019.

C. Hoppe and T. Uhl, ”Video Streaming over IP using the DASH Technique”, Journal of Telecommunications and Information Technology

No. 2, pp. 1-5 (2018).

Opticom GmbH,; Last view: October 2019.

ITU-T P.910, ”Subjective video quality assessment methods for multimedia applications”, ITU Recommendation (04/2008),; Last view: October 2019.

D. Robinson, Y. Jutras, and V. Craciun, ”Subjective Video Quality Assessment of HTTP Adaptive Streaming Technologies”, Bell Labs Technical Journal 16(4), pp. 5-24, 2012, DOI: 10.1002/bltj.20531.

T. Uhl, J. Klink, and C. Hoppe, ”Por´ownanie pracy technik transportowych wideo w ´srodowisku IP”, Przegl. Telekomunikacyjny i Wiadomo´sci Telekomunikacyjne No. 7, pp. 595-598 (2019).

S. Qadir, A. Kist, and Z. Zhang, ”QoE-aware cross-layer architecture for video traffic over Internet”, Region 10 Symposium 2014 IEEE, pp. 522-526, 2014.

Q. Huynh-Thu and M. Ghanbari, ”The accuracy of PSNR in predicting video quality for different video scenes and frame rates”, Telecommun. Syst (2012) 49: 35.

J. Mongay Batalla, P. Krawiec, A. Beben, P. Wisniewski, and A. Chydzinski, “Adaptive Video Streaming: Rate and Buffer on the Track of Minimum Rebuffering”, IEEE Journal on Selected Areas in Communications, vol. 34, no. 8, pp. 2154–2167, aug 2016. [Online]. Available:


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