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University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  1/2019 - 12
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Adaptive Quality Control Scheme Based on VBR Characteristics to Improve QoE of UHD Streaming Service

KIM, M. See more information about KIM, M. on SCOPUS See more information about KIM, M. on IEEExplore See more information about KIM, M. on Web of Science, CHUNG, K. See more information about CHUNG, K. on SCOPUS See more information about CHUNG, K. on SCOPUS See more information about CHUNG, K. on Web of Science
 
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Download PDF pdficon (1,313 KB) | Citation | Downloads: 429 | Views: 1,318

Author keywords
adaptive control, data transfer, high definition video, quality of service, streaming media

References keywords
streaming(16), communications(12), video(11), adaptation(11), adaptive(9), quality(7), rate(6), experience(6), bitrate(6), tutorials(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-02-28
Volume 19, Issue 1, Year 2019, On page(s): 89 - 98
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.01012
Web of Science Accession Number: 000459986900012
SCOPUS ID: 85064214463

Abstract
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Recently, with the development of networks and smart devices, the demand for Ultra High Definition (UHD) video has risen, and HTTP adaptive streaming has attracted attention. HTTP adaptive streaming can guarantee high Quality of Experience (QoE) because it adaptively selects the video quality according to the network state. However, the existing quality control schemes experience unnecessary quality changes and low average video quality due to the bandwidth measurement and the quality control that do not consider the Variable Bit Rate (VBR) content characteristics of the UHD video. In this paper, we propose an adaptive quality control scheme based on VBR content characteristics to improve QoE of UHD streaming service. The proposed scheme measures the bandwidth using the actual bit rate of the segment and the difference in the network adaptability between segments. Furthermore, the proposed scheme defines a quality control region by considering the buffer state of the client. The quality control region consists of four subregions based on buffer thresholds, and the client selects the quality differently according to each subregion. Experimental results have shown that the proposed scheme improves the QoE compared to the existing schemes by minimizing the unnecessary quality changes and maximizing the average video quality.


References | Cited By  «-- Click to see who has cited this paper

[1] Cisco, "Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016-2021," Mar. 2017.

[2] J. Kua, G. Armitage, and P. Branch, "A Survey of Rate Adaptation Techniques for Dynamic Adaptive Streaming over HTTP," IEEE Communications Surveys & Tutorials, Vol. 19, No. 3, pp. 1842-1866, Mar. 2017.
[CrossRef] [Web of Science Times Cited 113] [SCOPUS Times Cited 141]


[3] Microsoft, "Microsoft Smooth Streaming," 2016. [Online] Available: Temporary on-line reference link removed - see the PDF document

[4] Apple, "Apple HTTP Live Streaming," 2016. [Online] Available: Temporary on-line reference link removed - see the PDF document

[5] Adobe, "Adobe HTTP Dynamic Streaming (HDS)," 2016. [Online] Available: Temporary on-line reference link removed - see the PDF document

[6] T. Stockhammer, "Dynamic Adaptive Streaming over HTTP: Standards and Design Principles," Proc. of the Second Annual ACM Conference on Multimedia Systems, pp. 133-144, Feb. 2011.
[CrossRef] [SCOPUS Times Cited 847]


[7] M. Seufert, S. Egger, M. Slanina, T. Zinner, T. Hossfeld, and P. T. Gia, "A Survey on Quality of Experience of HTTP Adaptive Streaming," IEEE Communications Surveys & Tutorials, Vol. 17, No. 1, pp. 469-492, Sep. 2014.
[CrossRef] [Web of Science Times Cited 409] [SCOPUS Times Cited 528]


[8] T. Zhao, Q. Liu, and C. W. Chen, "QoE in Video Transmission: A User Experience-Driven Strategy," IEEE Communications Surveys & Tutorials, Vol. 19, No. 1, pp. 285-302. Oct. 2016.
[CrossRef] [Web of Science Times Cited 72] [SCOPUS Times Cited 84]


[9] Y. Sani, A. Mauthe, and C. Edwards, "Adaptive Bitrate Selection: A Survey," IEEE Communications Surveys & Tutorials, Vol. 19, No. 4, pp. 2985-3014. Jul. 2017.
[CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 37]


[10] Y. Zhou, Y. Duan, J. Sun, and Z. Guo, "Towards Simple and Smooth Rate Adaptation for VBR Video in DASH," Proc. of IEEE Visual Communications and Image Processing Conference, pp. 9-12, Dec. 2014.
[CrossRef] [SCOPUS Times Cited 15]


[11] F. Xie, M. T. Pourazad, P. Nasiopoulos, and J. Slevinsky, "Determining Bitrate Requirement for UHD Video Content Delivery," Proc. of the IEEE International Conference on Consumer Electronics, pp. 241-242, Jan. 2016.
[CrossRef] [SCOPUS Times Cited 5]


[12] T. Nagashima, K. Kanai, and J. Katto, "QoS and QoE Evaluations of 2K and 4K DASH Contents Distributions," Proc. of the IEEE International Symposium on Multimedia, pp. 453-458, Dec. 2017.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]


[13] T. Zhang, F. Ren, W. Cheng, X. Luo, R. Shu, and X. Liu, "Modeling and Analyzing The Influence of Chunk Size Variation on Bitrate Adaptation in DASH," Proc. of the IEEE International Conference on Computer Communications, pp. 1-9, May 2017.
[CrossRef] [SCOPUS Times Cited 15]


[14] S. Bae, D. Jang, and K. Park, "Why Is HTTP Adaptive Streaming So Hard?," Proc. of the Asia-Pacific Workshops on Systems, Jul. 2015.
[CrossRef] [SCOPUS Times Cited 10]


[15] Y. Liu and J. Y. B. Lee, "Streaming Variable Bitrate Video over Mobile Networks with Predictable Performance," Proc. of the IEEE Wireless Communication and Networking Conference, pp. 1-7, Apr. 2016.
[CrossRef] [SCOPUS Times Cited 6]


[16] K. Brunnstrom et al., "Qualinet White Paper on Definitions of Quality of Experience," Qualinet White Paper on Definitions of Quality of Experience Output from the 5th Qualinet Meeting, 2013.

[17] N. Staelens, M. H. Pinson, P. Corriveau, F. De Turck, and P. Demeester, "Measuring Video Quality in the Network: From Quality of Service to User Experience," Proc. of the International Workshop Video Process. Consumer Electron, pp. 5-6, 2015.

[18] H. Nam, K. H. Kim, and H. Schulzrinne, "QoE Matters More Than QoS: Why People Stop Watching Cat Videos," Proc. of the IEEE International Conference on Computer Communications, pp. 1-9, Apr. 2016.
[CrossRef] [SCOPUS Times Cited 67]


[19] P. Juluri, V. Tamarapalli, and D. Medhi, "Measurement of Quality of Experience of Video-on-Demand Services: A Survey," IEEE Communications Surveys & Tutorials, Vol. 18, No. 1, pp. 401-418. Feb. 2015.
[CrossRef] [Web of Science Times Cited 111] [SCOPUS Times Cited 141]


[20] C. Liu, I. Bouazizi, and M. Gabbouj, "Rate Adaptation for Adaptive HTTP Streaming," Proc. of the ACM Multimedia Systems, pp. 169-174, Feb. 2011.
[CrossRef] [SCOPUS Times Cited 349]


[21] 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, Vol. 58, No. 1, pp. 78-85, Mar. 2012.
[CrossRef] [Web of Science Times Cited 146] [SCOPUS Times Cited 174]


[22] Z. Li, X. Zhu, J. Gahm, R. Pan, H. Hu, A. C. Began, and D. Oran, "Probe and Adapt: Rate Adaptation for HTTP Video Streaming At Scale," IEEE Journal on Selected Areas in Communications, Vol. 32, No. 4, pp. 719-733, Apr. 2014.
[CrossRef] [Web of Science Times Cited 303] [SCOPUS Times Cited 370]


[23] H. T. Le, D. V. Nguyen, N. P. Ngoc, A. T. Pham, and T. C. Thang, "Buffer-based Bitrate Adaptation for Adaptive HTTP Streaming," Proc. of the International Conference on Advanced Technologies for Communications, pp. 33-38, Oct. 2013.
[CrossRef] [SCOPUS Times Cited 33]


[24] T. Huang, R. Johari, N. McKeown, M. Trunnell, and M. Waston, "A Buffer-based Approach to Rate Adaptation: Evidence from a Large Video Streaming Service," Proc. of the ACM Conference on SIGCOMM, pp. 187-198, Aug. 2014.
[CrossRef] [Web of Science Times Cited 387]


[25] K. Spiteri, R. Urgaonkar, and R. K. Sitaraman, "BOLA: Near-optimal Bitrate Adaptation for Online Videos," Proc. of the IEEE International Conference on Computer Communications, pp. 1-9, Apr. 2016.
[CrossRef] [Web of Science Times Cited 246] [SCOPUS Times Cited 303]


[26] P. Juluri, V. Tanarapalli, and D. Medhi, "SARA: Segment Aware Rate Adaptation Algorithm for Dynamic Adaptive Streaming over HTTP," Proc. of the IEEE International Conference on Communication Workshop, pp. 1765-1770, Jun. 2015.
[CrossRef] [SCOPUS Times Cited 111]


[27] T. Vu, H. T. Le, D. V. Nguyen, N. P. Ngoc, and T. C. Thang, "Future Buffer Based Adaptation for VBR Video Streaming over HTTP," Proc. of the International Workshop on Multimedia Signal Processing, pp. 1-5, Oct. 2015.
[CrossRef] [SCOPUS Times Cited 3]


[28] H. N. Nguyen, T. Vu, H. T. Le, N. P. Ngoc, and T. C. Thang, "Smooth Quality Adaptation Method for VBR Video Streaming over HTTP," Proc. of the International Conference on Communications, Management and Telecommunications, pp. 184-185, Dec. 2015.
[CrossRef] [SCOPUS Times Cited 6]


[29] The Network Simulator NS-3, [Online] Available: Temporary on-line reference link removed - see the PDF document



References Weight

Web of Science® Citations for all references: 1,816 TCR
SCOPUS® Citations for all references: 3,246 TCR

Web of Science® Average Citations per reference: 61 ACR
SCOPUS® Average Citations per reference: 108 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-11-21 00:34 in 128 seconds.




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