When does lower bitrate give higher quality in modern video services?

Due to the difficulties on approximating the human perception with algorithms, increasing the users Quality of Experience (QoE) in modern video services is a challenging task. But more than that, prior to estimating QoE, it is important to know how different types of network impairments actually affect the video quality. This paper takes a closer look at the relation between the network quality of service (QoS) and the video QoE degradation. Using a sophisticated network emulation environment, we benchmark a range of video types and video quality levels under controlled network conditions. Our analysis shows that, along with a number of expected situations come also some counterintuitive QoS-to-QoE conditions. We discuss ways in which a better understanding of the mutual influence between networks and video streams could lead to more efficient utilization of the Internet.

[1]  Markus Fiedler,et al.  The QoE provisioning-delivery-hysteresis and its importance for service provisioning in the Future Internet , 2011, 2011 7th EURO-NGI Conference on Next Generation Internet Networks.

[2]  Phuoc Tran-Gia,et al.  Towards QoE Management for Scalable Video Streaming , 2011 .

[3]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[4]  Henning Schulzrinne,et al.  RTP: A Transport Protocol for Real-Time Applications , 1996, RFC.

[5]  Antonio Liotta,et al.  Improving QoS in P2P Video Streaming , 2009, 2009 First International Conference on Advances in Multimedia.

[6]  Antonio Liotta,et al.  Machine Learning Approach for Quality of Experience Aware Networks , 2010, 2010 International Conference on Intelligent Networking and Collaborative Systems.

[7]  Antonio Liotta,et al.  The Value of Relative Quality in Video Delivery , 2011, J. Mobile Multimedia.

[8]  Seong Gon Choi,et al.  A study on a QoS/QoE correlation model for QoE evaluation on IPTV service , 2010, 2010 The 12th International Conference on Advanced Communication Technology (ICACT).

[9]  Zhou Wang,et al.  Video quality assessment based on structural distortion measurement , 2004, Signal Process. Image Commun..

[10]  A. Liotta The cognitive NET is coming , 2013, IEEE Spectrum.

[11]  Vlado Menkovski,et al.  A quality of experience management module , 2011 .

[12]  Paolo Bellavista,et al.  Skype Resilience to High Motion Videos , 2013, Int. J. Wavelets Multiresolution Inf. Process..

[13]  Stefan Winkler,et al.  The Evolution of Video Quality Measurement: From PSNR to Hybrid Metrics , 2008, IEEE Transactions on Broadcasting.

[14]  Antonio Liotta,et al.  Quality of Experience Models for Multimedia Streaming , 2010, Int. J. Mob. Comput. Multim. Commun..

[15]  Antonio Liotta,et al.  Adaptive psychometric scaling for video quality assessment , 2012, Signal Process. Image Commun..

[16]  Antonio Liotta,et al.  QoE analysis of a peer-to-peer television system , 2008, ICT 2008.

[17]  Rajiv Soundararajan,et al.  Study of Subjective and Objective Quality Assessment of Video , 2010, IEEE Transactions on Image Processing.

[18]  Antonio Liotta,et al.  Quality of experience management in mobile content delivery systems , 2009, Telecommun. Syst..

[19]  Antonio Liotta,et al.  Instantaneous Video Quality Assessment for lightweight devices , 2013, MoMM '13.

[20]  Antonio Liotta,et al.  Characterization of signaling and traffic in Joost , 2009, Peer-to-Peer Netw. Appl..

[21]  Liam Murphy,et al.  Evaluating the Impact of Network Performance on Video Streaming Quality for Categorised Video Content , 2004 .

[22]  Antonio Liotta,et al.  Quality of experience management for video streams: the case of Skype , 2012, MoMM '12.