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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電機工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63588
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dc.contributor.advisor黃寶儀(Polly Huang)
dc.contributor.authorCing-Yu Chuen
dc.contributor.author朱慶瑜zh_TW
dc.date.accessioned2021-06-16T17:14:25Z-
dc.date.available2015-08-27
dc.date.copyright2012-08-27
dc.date.issued2012
dc.date.submitted2012-08-18
dc.identifier.citation[1] K. R. Boff, L. Kaufman, and J. P. Thomas, “Handbook of Perception and Human Performance”, Wiley-Interscience, 1986.
[2] J. Matta, C. Pepin, K. Lashkari, and R. Jain, “A Source and Channel Rate Adaptation Algorithm for AMR in VoIP Using the E-model,” in Proceedings of ACM Network and Operating System Support for Digital Audio and Video, NOSSDAV, 2003.
[3] Z. Qiao, L. Sun, N. Heilemann, and E. Ifeachor, “A New Method for VoIP Quality of Service Control Use Combined Adaptive Sender Rate and Priority Marking,” in Proceedings of IEEE International Communications Conference, ICC, 2004.
[4] T.-Y. Huang, P. Huang, K.-T. Chen, and P.-J. Wang, “Can Skype be More Satisfying? A QoE-Centric Study of the FEC Mechanism in the Internet-Scale VoIP System,” IEEE Network, Vol. 24(2), pp.42–48, 2010.
[5] ITU-T Recommendation P.830, “Subjective Performance Assessment of Telephone-band and Wideband Digital Codecs” 1996.
[6] Skype Developer, http://developer.skype.com/silk.
[7] R. A. Fisher, “Statistical Methods for Research Workers”, Oliver and Boyd, ISBN 0-05-002170-2, 1925.
[8] R. Beuran, M. Ivanovici, and B. Dobinson, “Network Quality of Service Measurement System for Application Requirements Evaluation”, in Proceedings of IEEE International Symposium on Performance Evaluation of Computer and Telecommunication Systems, SPECTS, 2003.
[9] RFC 793, “Transmission Control Protocol,” 1981.
[10] RFC 768, “User Datagram Protocol,” 1980.
[11] J. Bolot and T. Turletti, “A Rate Control Mechanism for Packet Video in the Internet”, in Proceedings of IEEE International Conference on Computer Communications, INFOCOM, 1994.
[12] A. Barberis, C. Casetti, J.C. De Martin, and M. Meo, “A Simulation Study of Adaptive Voice Communications on IP Networks.” Computer Communications, Vol. 24(9), pp.757–767, 2001.
[13] ITU-T Recommendation P.10/G.100, “Vocabulary for Performance and Quality of Service”, 2008.
[14] K.-T. Chen, C.-Y. Huang, P. Huang, and C.-L. Lei, “Quantifying Skype User Satisfaction”, in Proceedings of ACM Communications and Computer Networks, SIGCOMM, 2006.
[15] ITU-T Recommendation P.800, “Methods for Subjective Determination of Transmission Quality,” 1996.
[16] M. Fiedler, T. Hossfeld, and P. Tran-Gia, “A Generic Quantitative Relationship between Quality of Experience and Quality of Service” IEEE Network, vol. 24(2), pp.36-41, 2010.
[17] P. Reichl, S. Egger, R. Schatz, and A. D’Alconzo, “The Logarithmic Nature of QoE and the Role of the Weber-Fechner Law in QoE Assessment,” in Proceedings of IEEE International Communications Conference, ICC, 2010.
[18] W. Wu, A. Arefin, G. Kurillo, P. Agarwal, K. Nahrstedt, and R. Bajcsy, “Color-plus-Depth Level-of-Detail in 3D Tele-immersive Video: A Psychophysical Approach”, in Proceedings of ACM Multimedia, MM, 2011.
[19] W. Song, D. W. Tjondronegoro, and M. Docherty, “Saving Bitrate vs. Pleasing Users: Where is the Break-Even Point in Mobile Video Quality”, in Proceedings of ACM Multimedia, MM, 2011.
[20] S. Tasaka and Y. Ito, “Psychometric Analysis of the Mutually Compensatory Property,” in Proceedings of IEEE International Conference on Communications, ICC, 2003.
[21] S. Tasaka and Y. Ito, “Real-Time Estimation of User-Level QoS of Audio-Video Transmission over IP Networks,” in Proceedings of IEEE International Conference on Communications, ICC, 2006.
[22] S. Tasaka, H. Yoshimi and A. Hirashima, “The Effectiveness of a QoE-Based Video Output Scheme for Audio-Video IP Transmission,” in Proceedings of ACM Multimedia, ACM MM, 2008.
[23] A. Bouch, G. Wilson and M. A. Sasse, “A 3-Dimensional Approach to Assessing End-User Quality of Service,” in Proceedings of the London Communications Symposium, 2001.
[24] A. Watson and M. A. Sasse. “Measuring Perceived Quality of Speech and Video in Multimedia Conferencing Applications,” In Proceedings of ACM Multimedia Conference, ACM MM, 1998.
[25] A. Bouch, A. Watson and M. A. Sasse, “QUASS - A Tool for Measuring the Subjective Quality of Real-Time Multimedia Audio and Video,” Poster presented at HCI, 1998.
[26] J. Shen, “On the Foundations of Vision Modeling: I. Weber's law and Weberized TV restoration,” Physica D: Nonlinear Phenomena, vol. 175(3-4), pp.241–251, 2003.
[27] E. D. Scheirer, “Tempo and Beat Analysis of Acoustic Musical Signals,” Journal of the Acoustical Society of America, vol. 103(1), pp.588–601, 1998.
[28] R. S. Moyer and T. K. Landauer, “Time Required for Judgments of Numerical Inequality,” Nature, vol. 215(5109), pp.1519–20, 1967.
[29] M. R. Longo and S. F. Lourenco, “Spatial Attention and the Mental Number Line: Evidence for Characteristic Biases and Compression,” Neuropsychologia, vol.45, pp.1400-1406, 2007.
[30] Skype for Windows - v5.10.1.115, released on July 5, 2012, http://www.skype.com /get-skype/.
[31] ITU-T Recommendation P.911, “Subjective Audiovisual Quality Assessment Methods for Multimedia Applications,” 1998.
[32] ITU-T Recommendation P.910, “Subjective Video Quality Assessment Methods for Multimedia Applications,” 2008.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63588-
dc.description.abstract如何有效地在端點與端點之間傳輸對延遲較為敏感的聲音資料一直是多媒體網路中的一個課題。其中一個主要的議題即為決定即時網路電話的傳輸速率,使得每單位網路資源的使用對使用者感受能夠最大化。由於網路的頻寬通常是動態變化的,而不斷地提高傳輸速率是否保證比較好的使用者經驗則依然不明瞭。除此之外,單純地在每一個時間點盡量地最佳化傳輸速率,亦可能對使用者的使用經驗造成不好的影響。
為了瞭解傳輸速率變化的幅度以及頻率對使用者感受造成的效應,我們招募了127名的受測者針對模擬的Skype通話進行評分,並且有系統的改變這些通話的速率變化幅度以及頻率。因此我們能夠達成 (1) 發現速率變化頻率對使用者感受的影響為一對數關係,並且遵守Weber-Fechner’s Law (2) 速率變化幅度的影響則取決於使用者如何感受不同品質之間的差別 (3) 推導出一封閉模型來描述使用者感受與速率變化之間的關係,其平均錯誤率以及R-square分別為7.5%以及0.86。
zh_TW
dc.description.abstractThe effective end-to-end transport of delay-sensitive voice data has long been a problem in multimedia networking. One of the major issues is determining the sending rate of real-time VoIP streams such that the user experience is maximized per unit network resource consumed. A particularly interesting complication that remains to be addressed is that the available bandwidth is often dynamic. Thus, it is unclear whether a marginal increase warrants better user experience. If a user naively tunes the sending rate to the optimum at any given opportunity, the user experience could fluctuate.
To investigate the effects of magnitude and frequency of rate changes on user experience, we recruited 127 human participants to systematically score emulated Skype calls with different combinations of rate changes, including varying magnitude and frequency of rate changes. Results show that 1) the rate change frequency affects the user experience on a logarithmic scale, echoing Weber-Fechner’s Law [1], 2) the effect of rate change magnitude depends on how users perceive the quality difference, and 3) this study derives a closed-form model of user perception for rate changes for Skype calls.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T17:14:25Z (GMT). No. of bitstreams: 1
ntu-101-R99921035-1.pdf: 1374699 bytes, checksum: 60de5fab9b2808d7b81d0d872f68e309 (MD5)
Previous issue date: 2012
en
dc.description.tableofcontents誌謝 .................................................................ii
摘要 ................................................................iii
Abstract .........................................................iv
Contents .........................................................v
List of Figures ...............................................vii
List of Tables................................................viii
Chapter 1 Introduction ...................................1
Chapter 2 Background and Fundamentals .......5
2.1 Quality of Service.......................................5
2.2 Quality of Experience.................................6
2.3 QoS-QoE Synergy ......................................7
2.4 QoE-Based Adaptation................................7
2.5 Subjective Assessment ...............................8
2.6 Psychophysics.............................................9
Chapter 3 Preliminary Experiments..................12
3.1 Methodology..............................................12
3.2 Fixed-Rate Results.....................................15
3.3 Variable-Rate Results.................................16
3.4 Effects of Rate Change Magnitude..............17
3.5 Effects of Rate Change Frequency ..............19
Chapter 4 Proposed Model ..............................21
4.1 Fixed-Rate Model.......................................21
4.2 Variable-Rate Model ..................................22
Chapter 5 Large-scale Experiment ...................24
5.1 Methodology..............................................24
5.2 ANOVA Tests .............................................26
5.3 Model Specifics ..........................................29
Chapter 6 Evaluation and Discussion.................37
6.1 Accuracy of Derived Models........................37
6.2 Comparison with PESQ................................41
Chapter 7 Future Work .....................................46
Chapter 8 Conclusion........................................48
References.........................................................50
dc.language.isoen
dc.subject體驗質量zh_TW
dc.subject心理物理學zh_TW
dc.subject使用者感受zh_TW
dc.subject速率調變zh_TW
dc.subject網路電話zh_TW
dc.subjectVoIPen
dc.subjectRate Adaptationen
dc.subjectUser Perceptionen
dc.subjectQoEen
dc.subjectPsychophysicsen
dc.titleSKYPE/SILK網路電話的傳輸速率變化對使用者感受之影響的模型建構zh_TW
dc.titleModeling the QoE of Rate Changes in SKYPE/SILK VoIP Callsen
dc.typeThesis
dc.date.schoolyear100-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳宏銘(Homer Chen),朱浩華(Hao-Hua Chu),葉素玲(Su-Ling Yeh)
dc.subject.keyword網路電話,速率調變,使用者感受,體驗質量,心理物理學,zh_TW
dc.subject.keywordVoIP,Rate Adaptation,User Perception,QoE,Psychophysics,en
dc.relation.page54
dc.rights.note有償授權
dc.date.accepted2012-08-20
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept電機工程學研究所zh_TW
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