Effective erasure codes for reliable computer communication protocols
ACM SIGCOMM Computer Communication Review
Video transport over wireless channels: a cycle-based approach for rate control
Proceedings of the 12th annual ACM international conference on Multimedia
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Modeling best-effort and FEC streaming of scalable video in lossy network channels
IEEE/ACM Transactions on Networking (TON)
Error robust scalable audio streaming over wireless IP networks
IEEE Transactions on Multimedia
A digital fountain approach to asynchronous reliable multicast
IEEE Journal on Selected Areas in Communications
Overview of fine granularity scalability in MPEG-4 video standard
IEEE Transactions on Circuits and Systems for Video Technology
Video multicast using layered FEC and scalable compression
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
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Forward error correction (FEC) coding has been shown to offer a feasible solution to fulfill the need for Quality of Service for multimedia streaming over the fluctuant channels, especially in terms of the reduction of end-to-end delay. In this paper, we propose the Dynamic FEC-Distortion Optimization Algorithm to efficiently utilize the network bandwidth for better visual quality by means of hierarchical coding structure with the cascading error protection scheme. The optimization criteria are based on the unequal error protection by taking account of the error drifting problems from both temporal motion compensation and inter-layer prediction of the H.264/MPEG-4 AVC scalable video coding so that the priorities of each video components can be differentiated for the calculation of the distribution of parity packets. It is shown that the cascading error protection scheme makes the hierarchical structure of error erasure code more efficient. Also, the proposed algorithm works particularly well for fast motion videos and the performance does not depend on accurate estimation of packet loss rate.