Understanding the impact of video quality on user engagement

Proceedings of the ACM SIGCOMM 2011 Conference, SIGCOMM'11

Volumn , Issue , 2011, Pages 362-373

  Dobrian, Florin ^a   Awan, Asad ^a   Joseph, Dilip ^a   Ganjam, Aditya ^a   Zhan, Jibin ^a   Sekar, Vyas ^b   Stoica, Ion ^c   Zhang, Hui ^d  

^a Conviva ^*  (United States)

^b INTEL CORPORATION   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Engagement; Measurement; Video quality

Indexed keywords

BIT RATES; CONTENT PROVIDERS; DATA SETS; ENGAGEMENT; HIGH QUALITY; LIVE VIDEO; QUALITY METRICS; RENDERING QUALITY; TIME SPENT; USER ENGAGEMENT; USER EXPECTATIONS; VIDEO CONTENTS; VIDEO OVER THE INTERNET; VIDEO QUALITY;

CONTENT BASED RETRIEVAL; MEASUREMENTS;

VIDEO ON DEMAND;

EID: 80053152767     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2018436.2018478     Document Type: Conference Paper

References (38)

1. Alexa Top Sites. http://www.alexa.com/topsites/countries/US.
2. Cisco forecast. http://blogs.cisco.com/sp/comments/cisco- visualfinetworking-index-forecast-annual-update/.
3. Driving Engagement for Online Video. http://events.digitallyspeaking.com/ akamai/mddec10/post.html?hash=ZDlBSGhsMXBidnJ3RXNWSW5mSE1HZz09.
4. Hadoop. http://hadoop.apache.org/.
5. Hive. http://hive.apache.org/.
6. Keynote systems. http://www.keynote.com.
7. Mail service costs Netflix 20 times more than streaming. http://www.techspot.com/news/42036-mail-service-costs-netflix-20-timesmore-than- streaming.html.
8. Mean opinion score for voice quality. http://www.itu.int/rec/T-REC-P.800- 199608-I/en.
9. Subjective video quality assessment. http://www.itu.int/rec/T-REC-P.910- 200804-I/en.
10. The tale of three blind men and an elephant. http://en.wikipedia.org/ wiki/Blind-men-and-an-elephant.
11. K. Chen, C. Huang, P. Huang, C. Lei. Quantifying Skype User Satisfaction. In Proc. SIGCOMM, 2006.
12. Phillipa Gill, Martin Arlitt, Zongpeng Li, Anirban Mahanti. YouTube Traffic Characterization: A View From the Edge. In Proc. IMC, 2007.
13. A. Bouch, A. Kuchinsky, and N. Bhatti. Quality is in the Eye of the Beholder: Meeting Users' Requirements for Internet Quality of Service. In Proc. CHI, 2000.
14. B. Cheng, L. Stein, H. Jin, and Z. Zheng. Towards Cinematic Internet Video-On-Demand. In Proc. Eurosys, 2008.
15. B. Cheng, X. Liu, Z. Zhang, and H. Jin. A measurement study of a peer-to-peer video-on-demand system. In Proc. IPTPS, 2007.
16. C. Costa, I. Cunha, A. Borges, C. Ramos, M. Rocha, J. Almeida, and B. Ribeiro-Neto. Analyzing Client Interactivity in Streaming Media. In Proc. WWW, 2004.
17. C. Wu, B. Li, and S. Zhao. Diagnosing Network-wide P2P Live Streaming Inefficiencies. In Proc. INFOCOM, 2009.
18. M. Cha, H. Kwak, P. Rodriguez, Y.-Y. Ahn, and S. Moon. I Tube, You Tube, Everybody Tubes: Analyzing the World's Largest User Generated Content Video System. In Proc. IMC, 2007.
19. M. Cha, P. Rodriguez, J. Crowcroft, S. Moon, and X. Amatriain. Watching Television Over an IP Network. In Proc. IMC, 2008.
20. M. Claypool and J. Tanner. The effects of jitter on the peceptual quality of video. In Proc. ACM Multimedia, 1999.
21. D. Galletta, R. Henry, S. McCoy, and P. Polak. Web Site Delays: How Tolerant are Users? Journal of the Association for Information Systems, (1), 2004.
22. H. Y. et al. Inside the Bird's Nest: Measurements of Large-Scale Live VoD from the 2008 Olympics. In Proc. IMC, 2009.
23. S. R. Gulliver and G. Ghinea. Defining user perception of distributed multimedia quality. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), 2(4), Nov. 2006.
24. H. Yu, D. Zheng, B. Y. Zhao, and W. Zheng. Understanding User Behavior in Large-Scale Video-on-Demand Systems. In Proc. Eurosys, 2006.
25. X. Hei, C. Liang, J. Liang, Y. Liu, and K. W. Ross. A measurement study of a large-scale P2P IPTV system. IEEE Transactions on Multimedia, 2007.
26. Y. Huang, D.-M. C. Tom Z. J. Fu, J. C. S. Lui, and C. Huang. Challenges, Design and Analysis of a Large-scale P2P-VoD System. In Proc. SIGCOMM, 2008.
27. W. W. Hyunseok Chang, Sugih Jamin. Live Streaming Performance of the Zattoo Network. In Proc. IMC, 2009.
28. I. Ceaparu, J. Lazar, K. Bessiere, J. Robinson, and B. Shneiderman. Determining Causes and Severity of End-User Frustration. In International Journal of Human-Computer Interaction, 2004.
29. K. Cho, K. Fukuda, H. Esaki. The Impact and Implications of the Growth in Residential User-to-User Traffic. In Proc. SIGCOMM, 2006.
30. K. Sripanidkulchai, B. Maggs, and H. Zhang. An Analysis of Live Streaming Workloads on the Internet. In Proc. IMC, 2004.
31. A. Mahimkar, Z. Ge, A. Shaikh, J. Wang, J. Yates, Y. Zhang, and Q. Zhao. Towards Automated Performance Diagnosis in a Large IPTV Network. In Proc. SIGCOMM, 2009.
32. T. Mitchell. Machine Learning. McGraw-Hill.
33. S. Ali, A. Mathur, and H. Zhang. Measurement of Commercial Peer-to-Peer Live Video Streaming. In Proc. Workshop on Recent Advances in Peer-to-Peer Streaming, 2006.
34. S. Guha, S. Annapureddy, C. Gkantsidis, D. Gunawardena, and P. Rodriguez. Is High-Quality VoD Feasible using P2P Swarming? In Proc. WWW, 2007.
35. S. Saroiu, K. P. Gummadi, R. J. Dunn, S. D. Gribble, and H. M. Levy. An Analysis of Internet Content Delivery Systems. In Proc. OSDI, 2002.
36. H. A. Simon. Designing Organizations for an Information-Rich World. Martin Greenberger, Computers, Communication, and the Public Interest, The Johns Hopkins Press.
37. K. Sripanidkulchai, A. Ganjam, B. Maggs, and H. Zhang. The Feasibility of Supporting Large-Scale Live Streaming Applications with Dynamic Application End-Points. In Proc. SIGCOMM, 2004.
38. K.-C. Yang, C. C. Guest, K. El-Maleh, and P. K. Das. Perceptual Temporal Quality Metric for Compressed Video. IEEE Transactions on Multimedia, Nov. 2007.