Video Quality Metric for Streaming Service Using DASH Standard

IEEE Transactions on Broadcasting

Volumn 62, Issue 3, 2016, Pages 628-639

  Zegarra Rodriguez, Demostenes ^a   Lopes Rosa, Renata ^a   Costa Alfaia, Eduardo ^b   Issy Abrahao, Julia ^a   Bressan, Graca ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSITY OF BRESCIA   (Italy)

Author keywords

DASH; MOS; QoE; subjective test; video quality metrics; video resolution; Video streaming

Indexed keywords

ENERGY UTILIZATION; IMAGE CODING; IMAGE COMMUNICATION SYSTEMS; MOLYBDENUM; SUBJECTIVE TESTING; VIDEO STREAMING;

CONSUMER ELECTRONIC DEVICES; CORRELATION COEFFICIENT; DASH; DYNAMIC ADAPTIVE STREAMING OVER HTTP; QUALITY OF EXPERIENCE (QOE); VIDEO QUALITY; VIDEO QUALITY METRIC; VIDEO RESOLUTIONS;

QUALITY OF SERVICE;

EID: 84971572076     PISSN: 00189316     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBC.2016.2570012     Document Type: Article

References (53)

1. Cisco Inc. (2016). Visual Networking Index: Forecast and Methodology, 2014-2019. [Online]. Available: http://www.cisco.com/ c/en/us/solutions/collateral/service-provider/ip-ngn-ip-next-generationnetwork/ white-paper-c11-481360.html
2. Cisco Inc. (2016). Visual Networking Index: Global Mobile Data Traffic Forecast Update 2014-2019. [Online]. Available: http://www.cisco.com/c/en/us/solutions/collateral/service-provider/ visual-networking-index-vni/white-paper-c11-520862.html
3. T. Porter and X.-H. Peng, "An objective approach to measuring video playback quality in lossy networks using TCP, " IEEE Commun. Lett., vol. 15, no. 1, pp. 76-78, Jan. 2011.
4. R. K. P. Mok, E. W. W. Chan, and R. K. C. Chang, "Measuring the quality of experience of HTTP video streaming, " in Proc. Int. Symp. Integr. Netw. Manag., Dublin, Ireland, May 2011, pp. 485-492.
5. D. Z. Rodriguez, J. Abrahão, D. C. Begazo, R. L. Rosa, and G. Bressan, "Quality metric to assess video streaming service over TCP considering temporal location of pauses, " IEEE Trans. Consum. Electron., vol. 58, no. 3, pp. 985-992, Aug. 2012.
6. Y. Xue, B. Erkin, and Y. Wang, "A novel no-reference video quality metric for evaluating temporal jerkiness due to frame freezing, " IEEE Trans. Multimedia, vol. 17, no. 1, pp. 134-139, Jan. 2015.
7. A. Sackl, S. Egger, and R. Schatz, "Where's the music? Comparing the QoE impact of temporal impairments between music and video streaming, " in Proc. Int. Workshop Qual. Multimedia Exp., Klagenfurt, Austria, Jul. 2013, pp. 64-69.
8. T. De Pessemier, K. De Moor, W. Josephh, L. De Marez, and L. Martens, "Quantifying the influence of rebuffering interruptions on the user's quality of experience during mobile video watching, " IEEE Trans. Broadcast., vol. 59, no. 1, pp. 47-61, Mar. 2013.
9. M. H. Pinzon, L. K. Choi, and A. C. Bovick, "Temporal video quality model accounting for variable frame delay distortions, " IEEE Trans. Broadcast., vol. 60, no. 4, pp. 637-649, Dec. 2014.
10. J. Hwang, J. Lee, N. Choi, and C. Yoo, "HAVS: Hybrid adaptive video streaming for mobile devices, " IEEE Trans. Consum. Electron., vol. 60, no. 2, pp. 210-216, May 2014.
11. A. Hava, Y. Ghamri-Doudane, G.-M. Muntean, and J. Murphy, "Increasing user perceived quality by selective load balancing of video traffic in wireless networks, " IEEE Trans. Broadcast., vol. 61, no. 2, pp. 238-250, Jun. 2015.
12. N. Staelens et al., "Subjective quality assessment of longer duration video sequences delivered over HTTP adaptive streaming to tablet devices, " IEEE Trans. Broadcast., vol. 60, no. 4, pp. 707-714, Dec. 2014.
13. U. Reiter et al., "Factors influencing quality of experience, " in Quality of Experience: Advanced Concepts, Applications and Methods, S. Möller and A. Raake, Eds. Berlin, Germany: Springer, 2014, ch. 4, pp. 55-72.
14. D. Z. Rodriguez, R. L. Rosa, E. Costa, J. Abrahão, and G. Bressan, "Video quality assessment in video streaming services considering user preference for video content, " IEEE Trans. Consum. Electron., vol. 60, no. 3, pp. 436-444, Aug. 2014.
15. L. Atzori, A. Floris, G. Ginesu, and D. D. Giusto, "Quality perception when streaming video on tablet devices, " J. Vis. Commun. Image Representation, vol. 25, no. 3, pp. 586-595, Apr. 2014.
16. ISO/IEC, "Information technology-Dynamic adaptive streaming over HTTP (DASH)-Part 1 : Media presentation description and segment formats, " Geneva, Switzerland, May 2012.
17. H-J. Park and D-H. Har, "Subjective image quality assessment based on objective image quality measurement factors, " IEEE Trans. Consum. Electron., vol. 57, no. 3, pp. 1176-1184, Aug. 2011.
18. S. Chikkerur, V. Sundaram, M. Reisslein, and L. J. Karam, "Objective video quality assessment methods: A classification, review, and performance comparison, " IEEE Trans. Broadcast., vol. 57, no. 2, pp. 165-182, Jun. 2011.
19. A. K. Moorthy, L. K. Choi, A. C. Bovik, and G. de Veciana, "Video quality assessment on mobile devices: Subjective, behavioral and objective studies, " IEEE J. Sel. Topics Signal Process., vol. 6, no. 6, pp. 652-671, Oct. 2012.
20. T. Zhao, J. Wang, Z. Wang, and C. W. Chen, "SSIM-based coarsegrain scalable video coding, " IEEE Trans. Broadcast., vol. 61, no. 2, pp. 210-221, Jun. 2015.
21. S. Li, L. Ma, and K. Ngan, "Full-reference video quality assessment by decoupling detail losses and additive impairments, " IEEE Trans. Circuits Syst. Video Technol., vol. 22, no. 7, pp. 1100-1112, Jul. 2012.
22. H. L. Tan, Z. Li, Y. H. Tan, S. Rahardja, and C. Yeo, "A perceptually relevant MSE-based image quality metric, " IEEE Trans. Image Process., vol. 22, no. 11, pp. 4447-4459, Nov. 2013.
23. Y.-M. Hsio, C.-H. Chen, J.-F. Lee, and Y.-S. Chu, "Designing and implementing a scalable video-streaming system using an adaptive control scheme, " IEEE Trans. Consum. Electron., vol. 58, no. 4, pp. 1314-1322, Nov. 2012.
24. R. K. P. Mok, X. Luo, E. W. W. Chan, and R. K. C. Chang, "QDASH: A QoE-aware DASH system, " in Proc. Multimedia Syst. Conf., Chapel Hill, NC, USA, Feb. 2012, pp. 11-22.
25. C. Chen et al., "A dynamic system model of time-varying subjective quality of video streams over HTTP, " in Proc. IEEE Conf. Acoust. Speech Signal Process., Vancouver, BC, Canada, May 2013, pp. 3602-3606.
26. O. Oyman and S. Singh, "Quality of experience for HTTP adaptive streaming services, " IEEE Commun. Mag., vol. 50, no. 4, pp. 20-27, Apr. 2012.
27. A. El Essaili et al., "Quality-of-experience driven adaptive HTTP media delivery, " in Proc. IEEE Int. Conf. Commun., Budapest, Hungary, Jun. 2013, pp. 2480-2485.
28. P. Ni, R. Eg, A. Eichhorn, C. Griwodz, and P. Halvorsen, "Spatial flicker effect in video scaling, " in Proc. Int. Workshop Qual. Multimedia Exp., Mechelen, Belgium, Sep. 2011, pp. 55-60.
29. D. Z. Rodriguez, Z. Wang, R. L. Rosa, and G. Bressan, "The impact of video-quality-level switching on user quality of experience in dynamic adaptive streaming over HTTP, " EURASIP J. Wireless Commun. Netw., vol. 2014, no. 1, pp. 1-15, Dec. 2014.
30. C. Chen et al., "Modeling the-timevarying subjective quality of HTTP video streams with rate adaptations, " IEEE Trans. Image Process., vol. 23, no. 5, pp. 2206-2221, May 2014.
31. C. Chen, X. Zhu, G. de Veciana, A. C. Bovik, and R. W. Heath, "Adaptive video transmission with subjective quality constraints, " in Proc. IEEE Int. Conf. Image Process., Paris, France, Oct. 2014, pp. 2477-2481.
32. C. Singhal, S. De, R. Trestian, and G.-M. Muntean, "Joint optimization of user-experience and energy-efficiency in wireless multimedia broadcast, " IEEE Trans. Mobile Comput., vol. 13, no. 7, pp. 1522-1535, Jul. 2014.
33. C. Liu, I. Bouazizi, and M. Gabbouj, "Rate adaptation for adaptive HTTP streaming, " in Proc. ACM Conf. Multimedia Syst., San Jose, CA, USA, Feb. 2011, pp. 169-174.
34. W. Pu, Z. Zou, and C. W. Cheng, "Dynamic adaptive streaming over HTTP from multiple content distribution servers, " in Proc. IEEE Glob. Telecommun. Conf., Houston, TX, USA, Dec. 2011, pp. 1-5.
35. L. De Cicco, S. Mascolo, and V. Palmisano, "Feedback control for adaptive live video streaming, " in Proc. ACM Conf. Multimedia Syst., San Jose, CA, USA, Feb. 2011, pp. 145-156.
36. S. Gouache, G. Bichot, A. Bsila, and C. Howson, "Distributed & adaptive HTTP streaming, " in Proc. IEEE Int. Conf. Multimedia Expo, Barcelona, Spain, Jul. 2011, pp. 1-6.
37. C. Chen, X. Zhu, G. de Veciana, A. C. Bovik, and R. W. Heath, Jr., "Rate adaptation and admission control for video transmission with subjective quality constraints, " IEEE J. Sel. Topics Signal Process., vol. 9, no. 1, pp. 22-36, Jul. 2014.
38. ITU-R, "Methodology for the subjective assessment of the quality of television pictures, " Rec. BT.500, Geneva, Switzerland, Jan. 2012.
39. ITU-T, "Subjective video quality assessment methods for multimedia applications, " Rec. P.910, Geneva, Switzerland, Apr. 2008.
40. P. Brooks and B. Hestnes, "User measures of quality of experience: Why being objective and quantitative is important, " IEEE Netw., vol. 24, no. 2, pp. 8-13, Mar./Apr. 2010.
41. A. Raake and S. Egger, "Quality and quality of experience, " in Quality of Experience: Advanced Concepts, Applications and Methods, S. Möeller and A. Raake, Eds. Berlin, Germany: Springer, 2014, ch. 2, pp. 11-33.
42. K. Wang et al., "Perceived 3D TV transmission quality assessment: Multi-laboratory results using absolute category rating on quality of experience scale, "IEEE Trans. Broadcast., vol. 58, no. 4, pp. 544-557, Dec. 2012.
43. J. You, L. Xing, A. Perkis, and T. Ebrahimi, "Visual contrast sensitivity guided video quality assessment, " in Proc. IEEE Int. Conf. Multimedia Expo, Melbourne, VIC, Australia, Jul. 2012, pp. 824-829.
44. K. Gu, M. Liu, G. Zhai, X. Yang, and W. Zhang, "Quality assessment considering viewing distance and image resolution, " IEEE Trans. Broadcast., vol. 61, no. 3, pp. 520-531, Sep. 2015.
45. B. Ciubotaru, G. Ghinea, and G.-M. Muntean, "Subjective assessment of region of interest-aware adaptive multimedia streaming quality, " IEEE Trans. Broadcast., vol. 60, no. 1, pp. 50-60, Mar. 2014.
46. P.-L. Callet and E. Niebur, "Visual attention and applications in multimedia technologies, " Proc. IEEE, vol. 101, no. 9, pp. 2058-2067, Sep. 2013.
47. A. Garcia-Diaz, X. R. Fdez-Vidal, X. M. Pardo, and R. Dosil, "Saliency from hierarchical adaptation through decorrelation and variance normalization, " Image Vis. Comput., vol. 30, no. 1, pp. 51-64, Jan. 2012.
48. J. Radun et al., "Evaluating the multivariate visual quality performance of image-processing components, " ACM Trans. Appl. Percept., vol. 7, no. 3, Jun. 2010, Art. no. 16.
49. D. Z. Rodriguez, R. L. Rosa, and G. Bressan, "No-reference video quality metric for streaming service using DASH standard, " in Proc. Int. Conf. Consum. Electron., Las Vegas, NV, USA, Jan. 2015, pp. 106-107.
50. T. Hosfeld et al., "The memory effect and its implications on Web QoE modeling, " in Proc. Int. Teletraffic Congr., San Francisco, CA, USA, Sep. 2011, pp. 103-110.
51. S. Aroussi, T. Bouabana-Tebibel, and A. Mellouk, "Empirical QoE/QoS correlation model based on multiple parameters for VoD flows, " in Proc. Glob. Commun. Conf., Anaheim, CA, USA, Dec. 2012, pp. 1963-1968.
52. VQEG, "Report on the validation of video quality models for high definition video content, " Video Qual. Experts Group, U.S. Dept. Commerce, Boulder, CO, USA, Tech. Rep., Jun. 2010.
53. R. Trestian, A.-N. Moldovan, O. Ormond, and G.-M. Muntean, "Energy consumption analysis of video streaming to Android mobile devices, " in Proc. IEEE Netw. Oper. Manag. Symp., Maui, HI, USA, Apr. 2012, pp. 444-452.