Abstract
The main task of HTTP Adaptive Streaming (HAS) is to adapt video quality dynamically under variable network conditions. This is a key feature for multimedia delivery especially when quality of service cannot be granted network-wide and, e.g., throughput may suffer short term fluctuations. Hence, robust bitrate adaptation schemes become crucial in order to improve video quality of experience. The objective, in this context, is to control the filling level of the playback buffer and maximize the quality of the video, while avoiding unnecessary video quality variations. In this paper we study bitrate adaptation algorithms based on Backward-Shifted Coding (BSC), a scalable video coding scheme able to greatly improve video quality of experience. We design bitrate adaptation algorithms that balance video rate smoothness and high network capacity utilization, leveraging both on throughput-based and buffer-based adaptation mechanisms. Extensive simulations using an MPEG/DASH client server application on ns-3 show that the proposed scheme performs remarkably well even under challenging network conditions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
23009-1, I.I.: Dynamic adaptive streaming over HTTP (DASH) - part 1: media presentation description and segment formats (2012)
Akhshabi, S., Begen, A.C., Dovrolis, C.: An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP. In: Proceedings of the Second Annual ACM Conference on Multimedia Systems, pp. 157–168. ACM (2011)
Baldo, N., Miozzo, M., Requena-Esteso, M., Nin-Guerrero, J.: An open source product-oriented LTE network simulator based on ns-3. In: Proceedings of the 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 293–298. ACM (2011)
Huang, T.Y.: A buffer-based approach to video rate adaptation. Ph.D. thesis, Stanford University (2014)
Huang, T.Y., Johari, R., McKeown, N., Trunnell, M., Watson, M.: A buffer-based approach to rate adaptation: evidence from a large video streaming service. In: Proceedings of the 2014 ACM Conference on SIGCOMM, pp. 187–198. ACM (2014)
Cisco Visual Networking Index. Global mobile data traffic forecast update, 2015–2020. Cisco Systems (2015)
(ISO/IEC). Coding of audio-visual objects-part 10: advanced video coding (2012)
Miller, K., Quacchio, E., Gennari, G., Wolisz, A.: Adaptation algorithm for adaptive streaming over HTTP. In: 2012 19th International Packet Video Workshop (PV), pp. 173–178. IEEE (2012)
Stockhammer, T.: Dynamic adaptive streaming over HTTP-: standards and design principles. In: Proceedings of the Second Annual ACM Conference on Multimedia Systems, pp. 133–144. ACM (2011)
Thang, T.C., Le, H.T., Pham, A.T., Ro, Y.M.: An evaluation of bitrate adaptation methods for HTTP live streaming. IEEE J. Sel. Areas Commun. 32(4), 693–705 (2014)
Vergados, D.J., Michalas, A., Sgora, A., Vergados, D.D., Chatzimisios, P.: Fdash: a fuzzy-based MPEG/DASH adaptation algorithm. IEEE Syst. J. 10(2), 859–868 (2016)
Ye, Z., El-Azouzi, R., Jimenez, T., Altman, E., Valentin, S.: Backward-shifted strategies based on SVC for HTTP adaptive video streaming. In: Proceedings of the 15th International IFIP Networking Conference. IFIP (2016)
Ye, Z., Elazouzi, R., Jimenez, T., De Pellegrini, F., Valentin, S.: Bitrate adaptation in backward-shifted coding for HTTP adaptive video streaming. In: 2017 IEEE International Conference on Communications (ICC). IEEE (2017)
Yin, X., Sekar, V., Sinopoli, B.: Toward a principled framework to design dynamic adaptive streaming algorithms over HTTP. In: Proceedings of the 13th ACM Workshop on Hot Topics in Networks, p. 9. ACM (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Ye, Z., Elazouzi, R., JimĂ©nez, T. (2017). Quality of Experience in HTTP Adaptive Video Streaming Systems. In: Sabir, E., GarcĂa Armada, A., Ghogho, M., Debbah, M. (eds) Ubiquitous Networking. UNet 2017. Lecture Notes in Computer Science(), vol 10542. Springer, Cham. https://doi.org/10.1007/978-3-319-68179-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-319-68179-5_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-68178-8
Online ISBN: 978-3-319-68179-5
eBook Packages: Computer ScienceComputer Science (R0)