Delay-Rate-Distortion Model for Real-Time Video Communication

With the increased use of smart phones and mobile tablets, video encoding and streaming over wireless networks become a big concern. Real-time video service requires low end-to-end delay, which mainly consists of video encoding delay, queuing delay, and transmission delay. Previous works either assume video encoding delay to be constant or infinite and neglect it from end-to-end delay. However, encoding time has an effective impact on encoding rate (R) and distortion (D). Hence, the optimal R-D performance based on the assumption of infinite encoding time is neither accurate nor realistic. To achieve the optimal end-to-end performance under low delay constraint, we extend the traditional R-D model to a novel delay-rate-distortion (d-R-D) model, which quantifies the relationship among source coding time, rate, and distortion for IPPPP coding mode in H.264/Advanced Video Coding (AVC). On the other hand, a delay insensitive video communication application can afford hierarchical bidirectional prediction mode that introduces extra encoding delay than IPPPP mode in H.264/AVC, as it achieves higher encoding efficiency when delay is not a top priority. However, coding efficiency does not always increase with delay, and delay is not unlimited as well. How to maximize coding efficiency in hierarchical B mode with limited encoding time constraint is not a well-addressed problem. With the proposed d-R-D model, we can mathematically formulate this problem and provide a practical solution for the first time.

[1]  Bernd Girod,et al.  The Efficiency of Motion-Compensating Prediction for Hybrid Coding of Video Sequences , 1987, IEEE J. Sel. Areas Commun..

[2]  Min Chen,et al.  Cross-layer wireless video adaptation: Tradeoff between distortion and delay , 2010, Comput. Commun..

[3]  Xiaochen Li,et al.  RED theory for quality of service provisioning in wireless communications , 2014, Wirel. Commun. Mob. Comput..

[4]  Ishfaq Ahmad,et al.  Power-rate-distortion analysis for wireless video communication under energy constraints , 2005, IEEE Transactions on Circuits and Systems for Video Technology.

[5]  Mihaela van der Schaar,et al.  Cross-Layer Packetization and Retransmission Strategies for Delay-Sensitive Wireless Multimedia Transmission , 2007, IEEE Transactions on Multimedia.

[6]  Antonio Ortega,et al.  A Lagrangian optimization approach to rate control for delay-constrained video transmission over burst-error channels , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[7]  Xiaochen Li,et al.  Analysis of Packet Error Probability in Delay Constrained Communication Over Fading Channels , 2009, 2009 6th IEEE Consumer Communications and Networking Conference.

[8]  Alan Jay Smith,et al.  Improving dynamic voltage scaling algorithms with PACE , 2001, SIGMETRICS '01.

[9]  Dapeng Wu,et al.  Rate-Distortion Optimized Cross-Layer Rate Control in Wireless Video Communication , 2012, IEEE Transactions on Circuits and Systems for Video Technology.

[10]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[11]  Do-Kyoung Kwon,et al.  GOP-based Rate Control for H.264/SVC with Hierarchical B-pictures , 2007 .

[12]  Athanasios Leontaris,et al.  Compression Efficiency and Delay Tradeoffs for Hierarchical B-Pictures and Pulsed-Quality Frames , 2007, IEEE Transactions on Image Processing.

[13]  André Kaup,et al.  Laplace Distribution Based Lagrangian Rate Distortion Optimization for Hybrid Video Coding , 2009, IEEE Transactions on Circuits and Systems for Video Technology.

[14]  Anantha P. Chandrakasan,et al.  Dynamic voltage scaling techniques for distributed microsensor networks , 2000, Proceedings IEEE Computer Society Workshop on VLSI 2000. System Design for a System-on-Chip Era.

[15]  Antonio Ortega,et al.  Rate control for robust video transmission over burst-error wireless channels , 1999, IEEE J. Sel. Areas Commun..

[16]  Yali Liu,et al.  A novel fine rate control algorithm with adaptive rounding offset , 2008, 2008 IEEE International Symposium on Circuits and Systems.

[17]  Antonio Ortega,et al.  Joint Selection of Source and Channel Rate for VBR Video Transmission Under ATM Policing Constraints , 1997, IEEE J. Sel. Areas Commun..

[18]  Dapeng Wu,et al.  Prediction of transmission distortion for wireless video communication: Algorithm and application , 2010, J. Vis. Commun. Image Represent..