QoE management for video conferencing applications

We introduce a framework for managing the QoE of videos coded with the H.264 codec and transmitted by video conferencing applications through limited bandwidth networks. We focus our study on the medium-motion videos with QCIF, CIF, and VGA resolutions, the most pervasive video formats used by video conferencing applications across the Internet and cellular telephony systems. Using subjective tests for measuring the level of video quality perceived by end users, we expose the relation between the main influential video parameters and the quality experienced by end users. Furthermore, after investigating the effect of different frame rates and compression levels on video streaming bit rate, and consequently on QoE, we propose a QoE control mechanism for limited-bandwidth situations. A congestion control technique is also introduced in this paper and used in simulations for verifying the efficiency of the proposed QoE management algorithm and to implement this algorithm for practical applications.

[1]  William C. Hardy Quality of Service for VOIP: Measuring and Evaluating Packet - Switched Services , 2002 .

[2]  Tao Liu,et al.  Real-time video quality monitoring , 2011, EURASIP J. Adv. Signal Process..

[3]  Lingfen Sun,et al.  QoE Prediction Model and its Application in Video Quality Adaptation Over UMTS Networks , 2012, IEEE Transactions on Multimedia.

[4]  Marcus Barkowsky,et al.  Subjective quality assessment of MPEG-4 Scalable Video Coding in a mobile scenario , 2010, 2010 2nd European Workshop on Visual Information Processing (EUVIP).

[5]  Deborah Estrin,et al.  RAP: An end-to-end rate-based congestion control mechanism for realtime streams in the Internet , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[6]  Oliver Hohlfeld,et al.  Impact of frame rate and resolution on objective QoE metrics , 2010, 2010 Second International Workshop on Quality of Multimedia Experience (QoMEX).

[7]  Injong Rhee,et al.  Delay-based congestion avoidance for TCP , 2003, TNET.

[8]  Zhan Ma,et al.  Modeling of Rate and Perceptual Quality of Compressed Video as Functions of Frame Rate and Quantization Stepsize and Its Applications , 2012, IEEE Transactions on Circuits and Systems for Video Technology.

[9]  M. Angela Sasse,et al.  Sharp or smooth?: comparing the effects of quantization vs. frame rate for streamed video , 2004, CHI '04.

[10]  Margaret H. Pinson,et al.  Comparing subjective video quality testing methodologies , 2003, Visual Communications and Image Processing.

[11]  Van Jacobson,et al.  A tool to infer characteristics of internet paths , 1997 .

[12]  Jean-Charles Grégoire,et al.  QoE Management in a Video Conferencing Application , 2012 .

[13]  Jean-Charles Grégoire,et al.  Impact of Frame Loss Position on Transmitted Video Quality: Models and Improvements , 2011, 2011 Fifth FTRA International Conference on Multimedia and Ubiquitous Engineering.

[14]  Michele C. Weigle,et al.  Tmix: a tool for generating realistic TCP application workloads in ns-2 , 2006, CCRV.

[15]  Is-Haka Mkwawa,et al.  QoE-Driven Sender Bitrate Adaptation Scheme for Video Applications over IP Multimedia Subsystem , 2011, 2011 IEEE International Conference on Communications (ICC).

[16]  Heiko Schwarz,et al.  Overview of the Scalable Video Coding Extension of the H.264/AVC Standard , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[17]  J. Ostermann,et al.  Congestion Control for Scalable Video Streaming Using the Scalability Extension of H.264/AVC , 2007, IEEE Journal of Selected Topics in Signal Processing.

[18]  Mark Handley,et al.  RFC 5348: TCP Friendly Rate Control (TFRC): Protocol Specification , 2008 .

[19]  Mario Gerla,et al.  Smooth and efficient real-time video transport in the presence of wireless errors , 2006, TOMCCAP.

[20]  Demin Wang,et al.  Toward optimal rate control: a study of the impact of spatial resolution, frame rate, and quantization on subjective video quality and bit rate , 2003, Visual Communications and Image Processing.

[21]  Wenyu Jiang,et al.  Detecting and measuring asymmetric links in an IP network , 1999, Seamless Interconnection for Universal Services. Global Telecommunications Conference. GLOBECOM'99. (Cat. No.99CH37042).

[22]  Sheila S. Hemami,et al.  No-reference image and video quality estimation: Applications and human-motivated design , 2010, Signal Process. Image Commun..

[23]  Mark Crovella,et al.  Measuring Bottleneck Link Speed in Packet-Switched Networks , 1996, Perform. Evaluation.

[24]  Yan Zhou,et al.  Perceptual quality of video with frame rate variation: A subjective study , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[25]  Mostafa H. Ammar,et al.  Optimal quality adaptation for scalable encoded video , 2005, IEEE Journal on Selected Areas in Communications.

[26]  M. Angela Sasse,et al.  The big picture on small screens delivering acceptable video quality in mobile TV , 2009, TOMCCAP.

[27]  Rosario El-Feghali,et al.  Video Quality Metric for Bit Rate Control via Joint Adjustment of Quantization and Frame Rate , 2007, IEEE Transactions on Broadcasting.

[28]  Zhan Ma,et al.  Modeling the impact of frame rate and quantization stepsizes and their temporal variations on perceptual video quality: A review of recent works , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).

[29]  Lokanatha C. Reddy,et al.  A Survey on Congestion Control Mechanisms in High Speed Networks , 2008 .

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

[31]  Pamela C. Cosman,et al.  End-to-end differentiation of congestion and wireless losses , 2003, TNET.

[32]  Martin Reisslein,et al.  Objective Video Quality Assessment Methods: A Classification, Review, and Performance Comparison , 2011, IEEE Transactions on Broadcasting.

[33]  Vern Paxson,et al.  Measurements and analysis of end-to-end Internet dynamics , 1997 .