Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
Avg review time: 78 days
Avg accept to publ: 48 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

2,497,215 unique visits
994,074 downloads
Since November 1, 2009



Robots online now
bingbot
PetalBot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
Issue 2/2022

AbstractPlus






LATEST NEWS

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

Read More »


    
 

  1/2023 - 4

Quality of Experience Assessment for HTTP Based Adaptive Video Streaming

ARSENOVIC, M. See more information about ARSENOVIC, M. on SCOPUS See more information about ARSENOVIC, M. on IEEExplore See more information about ARSENOVIC, M. on Web of Science, RIMAC-DRLJE, S. See more information about RIMAC-DRLJE, S. on SCOPUS See more information about RIMAC-DRLJE, S. on SCOPUS See more information about RIMAC-DRLJE, S. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,205 KB) | Citation | Downloads: 634 | Views: 704

Author keywords
hybrid metrics, HTTP adaptive streaming, LIVE-NFLX-II database, Quality of Experience, video quality metrics

References keywords
quality(34), video(20), streaming(17), experience(12), assessment(12), adaptive(11), image(10), bovik(7), service(5), multimedia(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2023-02-28
Volume 23, Issue 1, Year 2023, On page(s): 33 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2023.01004
Web of Science Accession Number: 000937345700004
SCOPUS ID: 85150182647

Abstract
Quick view
Full text preview
The expected optimal outcome of users' video quality requirements should be the best Quality of Experience (QoE). Integrating and evaluating QoE in a video streaming system is a rather complex process that requires a comprehensive design of subjective databases and video quality metrics. The goal of this paper is to examine the parameters that affect QoE in adaptive video streaming, as well as metrics for evaluating video quality. The paper reviews and analyses 21 QoE metrics, out of which 4 are general video evaluation metrics, 7 are adaptive video streaming evaluation metrics, and 10 are hybrid metrics and their usability for QoE measurement for HTTP-based adaptive streaming (HAS). The LIVE-NFLX-II database is used to compare the metrics. The hybrid metrics that combine one of the full reference metrics with the no-reference metric that uses a combination of average bitrate, rebuffering percentage, and average bitrate switching magnitude, has yielded the best correlations with the subjective quality ratings.


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

[1] Fiedler M, Hoßfeld T, Tran-Gia P, "A generic quantitative relationship between quality of experience and quality of service", IEEE Netw, vol. 24, no. 2, pp. 36-41, 2010.
[CrossRef] [Web of Science Times Cited 495] [SCOPUS Times Cited 650]


[2] P.1203 ITU-T Recommendation "Parametric Bitstream-Based Quality Assessment of Progressive Download and Adaptive Audiovisual Streaming Services Over Reliable Transport", Nov. 2016.

[3] Le Callet P, Möller S, Perkis A, "Qualinet white paper on definitions of quality of experience", in Proc. Eur. Netw. Qual. Exper. Multimedia Syst. Services, 2012.

[4] ITU-T P.10/G.100 Recommendation "Vocabulary for Performance and Quality of Service. Amendment 5: New Defnitions for Inclusion in Recommendation", Jul. 2016.

[5] Oyman O, Singh S, "Quality of experience for HTTP adaptive streaming services", IEEE Commun. Mag, vol. 50, no. 4, pp. 20-27, 2012.,
[CrossRef] [Web of Science Times Cited 187] [SCOPUS Times Cited 229]


[6] Juluri P, Tamarapalli V, Medhi D, "Measurement of Quality of Experience of Video-on-Demand Services: A Survey", IEEE Commun. Surv. Tutorials, vol. 18, no. 1, pp. 401-418, 2016.
[CrossRef] [Web of Science Times Cited 145] [SCOPUS Times Cited 181]


[7] Global Internet Phenomena Report: North America and Latin America,https://www.sandvine.com/hubfs/downloads/phenomena/2018-phenomena-report.pdf

[8] [Online] Available: Temporary on-line reference link removed - see the PDF document

[9] [Online] Available: Temporary on-line reference link removed - see the PDF document

[10] [Online] Available: Temporary on-line reference link removed - see the PDF document

[11] Information Technology_Dynamic Adaptive Streaming Over HTTP (DASH) Part 1: Media Presentation Description and Segment Formats, Standard ISO/IEC 23009-1:2014, 2017. [Online] Available: Temporary on-line reference link removed - see the PDF document

[12] Yao J, Kanhere S. S, Hossain I, Hassan M, "Empirical Evaluation of HTTP Adaptive Streaming under Vehicular Mobility", 10th International IFIP TC 6 Networking Conference, Valencia, Spain, May 9-13, 2011.
[CrossRef] [SCOPUS Times Cited 2]


[13] Cranley N, Perry P, Murphy L, "User perception of adapting video quality", Int. J. Hum.-Comput. Stud., vol. 64, no. 8, pp. 637-647, 2006.
[CrossRef] [Web of Science Times Cited 84] [SCOPUS Times Cited 111]


[14] Vlaovic J, Rimac-Drlje S, Zagar D, Vranjes M, "Evaluation of objective video quality assessment methods on video sequences with different spatial and temporal activity encoded at different spatial resolutions", International Journal of Electrical and Computer Engineering Systems, vol. 12, no. 1, pp. 1-9, 2021.
[CrossRef] [SCOPUS Times Cited 6]


[15] Kim M, Chung K, Adaptive Quality Control Scheme Based on VBR Characteristics to Improve QoE of UHD Streaming Service, Advances in Electrical and Computer Engineering, vol. 19, no. 1, 2019.,
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 2]


[16] Lee D. Y, et al., "A Subjective and Objective Study of Space-Time Subsampled Video Quality", in IEEE Transactions on Image Processing, vol. 31, pp. 934-948, 2022,
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 14]


[17] Egger S, Gardlo B, Seufert M, Schatz R, "The impact of adaptation strategies on perceived quality of HTTP adaptive streaming", in Proc. Workshop Design, Qual. Deployment Adapt. Video Streaming, Sydney, NSW, Australia, pp. 31-36, 2014.,
[CrossRef] [SCOPUS Times Cited 32]


[18] Rehman A, Zeng K, Wang Z, "Display device-adapted video quality-of-experience assessment", Proc. SPIE, vol. 9394, Mar. 2015, Art. no. 939406,
[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 86]


[19] Seufert M, Egger S, Slanina M, Zinner T, Hoßfeld T, Tran-Gia P, "A Survey on Quality of Experience of HTTP Adaptive Streaming", IEEE Communication Surveys & Tutorials, vol. 17, no. 1, first quarter 2015.,
[CrossRef] [Web of Science Times Cited 513] [SCOPUS Times Cited 635]


[20] C. G. Bampis, Z. Li, I. Katsavounidis, T. -Y. Huang, C. Ekanadham and A. C. Bovik, "Towards Perceptually Optimized Adaptive Video Streaming-A Realistic Quality of Experience Database," in IEEE Transactions on Image Processing, vol. 30, pp. 5182-5197, 2021,
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 15]


[21] Duanmu Z, Kai Z, Ma K, Rehman A, Wang Z, "A quality of experience index for streaming video", IEEE Journal of Selected Topics in Signal Processing, vol. 11, no. 1, pp. 154-166, 2016.,
[CrossRef] [Web of Science Times Cited 116] [SCOPUS Times Cited 133]


[22] Duanmu Z, Rehman A, Wang A, "The Waterloo Streaming Quality-of-Experience Database-III", IEEE Dataport,
[CrossRef], October 6, 2020.


[23] Akhtar Z, Falk T. H, "Audio-Visual Multimedia Quality Assessment: A Comprehensive Survey", IEEE Access, vol. 5, pp. 21090-21117, 2017.
[CrossRef] [Web of Science Times Cited 48] [SCOPUS Times Cited 64]


[24] Barman N, Martini M.G, "QoE Modeling for HTTP Adaptive Video Streaming-A Survey and Open Challenges", IEEE Access, vol. 7, pp. 30831-30859, 2019.
[CrossRef] [Web of Science Times Cited 94] [SCOPUS Times Cited 113]


[25] ITU Recommendations ITU-R BT-500 "Methodology for the subjective assessment of the quality of television pictures BT Series Broadcasting service", Int. Telecommun. Union, vol. 13, pp. 1-48, 2012.

[26] ITU-T Recommendation P.910, "Subjective video quality assessment methods for multimedia applications," Int. Telecommun. Union, Geneva, pp. 1-42, 2009.

[27] Takahashi A, Hands D, Barriac B, "Standardization activities in the ITU for a QoE assessment of IPTV", IEEE Commun. Mag., vol. 46, no. 2, pp. 78-84, Feb. 2008.
[CrossRef] [Web of Science Times Cited 111] [SCOPUS Times Cited 169]


[28] Wang Z, Bovik A. C, Sheikh H, Simoncelli E, "Image quality assessment: from error visibility to structural similarity". IEEE Trans Image Process 13(4):600-612, 2004.
[CrossRef] [Web of Science Times Cited 31348] [SCOPUS Times Cited 37740]


[29] Wang Z, Simoncelli E. P, Bovik A. C, "Multi-scale structural similarity for image quality assessment", Conf. Rec. Asilomar Conf. Signals, Syst. Comput., vol. 2, no. 1, pp. 1398-1402, 2003.
[CrossRef]


[30] Soundararajan R, Bovik A. C, "RRED indices: Reduced reference entropic differencing for image quality assessment", IEEE Trans. Image Process., vol. 21, no. 2, pp. 517-526, 2012.
[CrossRef] [Web of Science Times Cited 245] [SCOPUS Times Cited 292]


[31] Li Z, Aaron A, Katsavounidis I, Moorthy A, Manohara M, "Toward A Practical Perceptual Video Quality Metric", Netflix Technology Blog, Jun 6, 2016

[32] Sheikh H, Bovik A. C, "Image Information and Visual Quality", IEEE Transactions on Image Processing, vol. 15, no. 2, pp. 430-444, Feb. 2006.
[CrossRef] [Web of Science Times Cited 2622] [SCOPUS Times Cited 3177]


[33] Li S, Zhang F, Ma L, Ngan K, "Image Quality Assessment by Separately Evaluating Detail Losses and Additive Impairments", IEEE Transactions on Multimedia, vol. 13, no. 5, pp. 935-949, Oct. 2011.
[CrossRef] [Web of Science Times Cited 170] [SCOPUS Times Cited 202]


[34] Bampis C. G, Li Z, Moorthy A. K, Katsavounidis I, Aaron A, Bovik A. C, "LIVE Netflix Video Quality of Experience Database", http://live.ece.utexas.edu/research/LIVE_NFLXStudy/index.html, 2016.

[35] Rodríguez D. Z, Wang Z, Rosa R.L, Bressan G, "The impact of video-quality-level switching on user quality of experience in dynamic adaptive streaming over HTTP", Eurasip J. Wirel. Commun. Netw, 2014.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 40]


[36] Rodríguez D. Z, Member S, Rosa R. L, Alfaia E. C, Abrahão J. I, Bressan G, "Video Quality Metric for Streaming Service Using DASH Standard", IEEE Transactions on Broadcasting, vol. 62, no. 3. pp. 1-12, 2016.
[CrossRef] [Web of Science Times Cited 42] [SCOPUS Times Cited 50]


[37] Wu Q, Li H, Member S, Meng F, Ngan K. N, "Toward a blind quality metric for temporally distorted streaming video", IEEE Transactions on Broadcasting, vol. 64, no. 2, pp. 1-12, 2018.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 28]


[38] Vega M. T et al., "Deep Learning for Quality Assessment in Live Video Streaming", IEEE Signal Process. Lett., vol. 24, no. 6, pp. 736-740, 2017.
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 57]


[39] Zhang H, Dong L, Gao G, Hu H, Wen Y, Guan K, "DeepQoE: A Multimodal Learning Framework for Video Quality of Experience (QoE) Prediction", IEEE Transactions on Multimedia, vol. 22, no. 12, pp. 3210-3223, 2020.
[CrossRef] [Web of Science Times Cited 33] [SCOPUS Times Cited 43]


[40] Arsenovic M, Rimac - Drlje S, "QoE and Video Quality Evaluation for HTTP Based Adaptive Streaming", Proceedings of 27. Telekomun. forum TELFOR, 2019.,
[CrossRef]


[41] [Online] Available: Temporary on-line reference link removed - see the PDF documentl

[42] Ghadiyaram D, Bovik A. C, Yeganeh H, Kordasiewicz R, Gallant M, "LIVE Mobile Stall Video Database", http://live.ece.utexas.edu/research/LIVEStallStudy/index.html , 2016.



References Weight

Web of Science® Citations for all references: 36,433 TCR
SCOPUS® Citations for all references: 44,071 TCR

Web of Science® Average Citations per reference: 847 ACR
SCOPUS® Average Citations per reference: 1,025 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 2024-03-28 05:35 in 199 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: 


DNS Made Easy