IEEE Transactions on Multimedia
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Competitive equilibrium bitrate allocation for multiple video streams
IEEE Transactions on Image Processing
On optimal layering and bandwidth allocation for multisession video broadcasting
IEEE Transactions on Wireless Communications
IEEE Transactions on Multimedia
Linear Rate Control and Optimum Statistical Multiplexing for H.264 Video Broadcast
IEEE Transactions on Multimedia
Fine-Granularity Transmission Distortion Modeling for Video Packet Scheduling Over Mesh Networks
IEEE Transactions on Multimedia
A joint rate control scheme for H.264 encoding of multiple video sequences
IEEE Transactions on Consumer Electronics
Analysis of video transmission over lossy channels
IEEE Journal on Selected Areas in Communications
Efficient bandwidth resource allocation for low-delay multiuser video streaming
IEEE Transactions on Circuits and Systems for Video Technology
Transmission Distortion Analysis for Real-Time Video Encoding and Streaming Over Wireless Networks
IEEE Transactions on Circuits and Systems for Video Technology
A Scalable Multiuser Framework for Video Over OFDM Networks: Fairness and Efficiency
IEEE Transactions on Circuits and Systems for Video Technology
A Delivery System for Streaming Video Over DiffServ Networks
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Information Technology in Biomedicine
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This paper presents a consistent-degradation macroblock grouping scheme for improving loss resilience of parallel video streams over a two-class DiffServ network. By jointly exploiting the H.264 flexible macroblock ordering (FMO) tool, a multi-stream macroblock ordering framework is designed to classify all macroblocks of a super-frame into two categories: important macroblocks as high-reliability traffic class and unimportant macroblocks as best-effort traffic class. To ensure efficiency and fairness of multi-stream macroblock ordering, the compound transmission distortion is introduced to measure both worst-case and average-case loss resilience of parallel video streams. The proposed consistent-degradation macroblock grouping scheme aims to further reduce the compound transmission distortion based on a GOP-level macroblock importance metric, which is adopted to timely estimate the error-propagation effect of macroblock loss on video quality degradation. With finer macroblock classification, the proposed scheme can find out an optimal grouping policy for each super-frame under the given transmission resource constraints. Both the theoretical analysis and simulation results show that the proposed scheme can effectively reduce the compound transmission distortion of parallel video streams over a two-class DiffServ network, and thus provide more consistent loss resilience and better utilization of transmission resources.