research-article

A Comparative Analysis of H.264 and H.265 with Different Bitrates for on Demand Video Streaming

Authors:

Denis Rosário,

Eduardo Cerqueira,

Matias Schimuneck,

Jéferson Nobre,

Cristiano BothAuthors Info & Claims

LANC '16: Proceedings of the 9th Latin America Networking Conference

Pages 53 - 58

https://doi.org/10.1145/2998373.2998451

Published: 13 October 2016 Publication History

Abstract

Users are changing their traditional communication paradigm based on voice calls or text messages to real-time or on-demand video services consumed on mobile devices. In this sense, the transmission of video content considering an adequate Quality of Experience (QoE) in mobile wireless networking infrastructures is a critical issue in both academic and industrial communities. In this context, both video caching and adaptation schemes improve the QoE of delivered video. However, it is important to evaluate the performance of downloading the video videos with different codec configuration and cached closer to the user to measure the gain from the user perspective. In this paper, we evaluate the performance of downloading the video coded into H264/AVC and H.265 with different bit rate in a scenario with and without network congestion. We collected QoE metrics and energy to analyze the gains for each video configuration. These results are important for understanding the use of cache and transcoding schemes in multimedia networking scenarios.

References

[1]

H. Ahlehagh and S. Dey. Video Caching in Radio Access Network: Impact on Delay and Capacity. In Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), pages 2276--2281, April 2012.

[2]

F. Bonomi, R. Milito, J. Zhu, and S. Addepalli. Fog Computing and Its Role in the Internet of Things. In Proceedings of the Mobile Cloud Computing, pages 13--16. ACM, 2012.

Digital Library

[3]

Cisco. Cisco Visual Networking Index: Forecast and Methodology, 2011--2016. Technical report, Tech Report, May 2012.

[4]

Ericsson. Ericsson Mobility Report: On the Pulse of the Networked Society. Technical report, Ericsson, White Paper, 2013.

[5]

A. Gomes, T. Braun, and E. Monteiro. Enhanced Caching Strategies at the Edge of LTE Mobile Networks. In Proceedings of the IFIP Networking Conference and Workshops (IFIP Networking), pages 341--349, May 2016.

[6]

M. Jo, T. Maksymyuk, B. Strykhalyuk, and C.-H. Cho. Device-to-Device-based Heterogeneous Radio Access Network Architecture for Mobile Cloud Computing. IEEE Wireless Communications, page 51, 2015.

[7]

P. Juluri, V. Tamarapalli, and D. Medhi. Measurement of Quality of Experience of Video-on-Demand Services: A Survey. IEEE Communications Surveys & Tutorials, 18(1):401--418, 2016.

[8]

D. Karvounas, A. Georgakopoulos, K. Tsagkaris, V. Stavroulaki, and P. Demestichas. Smart Management of D2D Constructs: an Experiment-based Approach. IEEE Communications Magazine, 52(4):82--89, April 2014.

[9]

E. Liotou, D. Tsolkas, N. Passas, and L. Merakos. Quality of Experience Management in Mobile Cellular Networks: Key Issues and Design Challenges. IEEE Communications Magazine, 53(7):145--153, 2015.

[10]

O. B. Maia, H. C. Yehia, and L. de Errico. A Concise Review of the Quality of Experience Assessment for Video Streaming. Computer Communications, 57:1--12, 2015.

[11]

M. Marotta, L. Faganello, M. Schimuneck, L. Granville, J. Rochol, and C. Both. Managing Mobile Cloud Computing Considering Objective and Subjective Perspectives. Computer Networks, 2015.

Digital Library

[12]

H. Pedersen and S. Dey. Enhancing Mobile Video Capacity and Quality Using Rate Adaptation, RAN Caching and Processing. IEEE/ACM Transactions on Networking, 24(2):996--1010, 2016.

Digital Library

[13]

D. Rosário, M. Seruffo, E. Cerqueira, C. Both, T. Braun, and M. Gerla. Trends in Human-Centric Multimedia Networking scenarios. In Proceedings of the Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net), pages 1--5, June 2016.

[14]

G. J. Sullivan, J. R. Ohm, W. J. Han, and T. Wiegand. Overview of the High Efficiency Video Coding (HEVC) Standard. IEEE Transactions on Circuits and Systems for Video Technology, 22(12):1649--1668, Dec 2012.

Digital Library

[15]

X. Wang, M. Chen, T. Taleb, A. Ksentini, and V. Leung. Cache in the Air: Exploiting Content Caching and Delivery Techniques for 5G Systems. IEEE Communications Magazine, 52(2):131--139, 2014.

[16]

Y. Wang and X. Lin. User-provided Networking for QoE Provisioning in Mobile Networks. IEEE Wireless Communications, 22(4):26--33, August 2015.

[17]

K. Zheng, X. Zhang, Q. Zheng, W. Xiang, and L. Hanzo. Quality-of-Experience Assessment and its Application to Video Services in LTE Networks. IEEE Wireless Communications, 22(1):70--78, 2015.

Cited By

She BWang QZhong XZhang ZQin ZLi G(2020)The Design and Implementation of Campus Network Streaming Media Live Video On-Demand System Based on Nginx and FFmpegJournal of Physics: Conference Series10.1088/1742-6596/1631/1/0121581631(012158)Online publication date: 24-Sep-2020
https://doi.org/10.1088/1742-6596/1631/1/012158

A Comparative Analysis of H.264 and H.265 with Different Bitrates for on Demand Video Streaming
1. General and reference
  1. Cross-computing tools and techniques
2. Networks
  1. Network types

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cover image ACM Other conferences

LANC '16: Proceedings of the 9th Latin America Networking Conference

October 2016

69 pages

ISBN:9781450345910

DOI:10.1145/2998373

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCOMM: ACM Special Interest Group on Data Communication
CLEI: Centro Latinoamericano de Estudios en Informática

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 October 2016

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LANC '16

LANC '16: Latin America Networking Conference

October 13 - 14, 2016

Valparaiso, Chile

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Cited By

She BWang QZhong XZhang ZQin ZLi G(2020)The Design and Implementation of Campus Network Streaming Media Live Video On-Demand System Based on Nginx and FFmpegJournal of Physics: Conference Series10.1088/1742-6596/1631/1/0121581631(012158)Online publication date: 24-Sep-2020
https://doi.org/10.1088/1742-6596/1631/1/012158

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