Error Control Coding, Second Edition
Error Control Coding, Second Edition
An integrated source transcoding and congestion control paradigmfor video streaming in the Internet
IEEE Transactions on Multimedia
Priority encoding transmission
IEEE Transactions on Information Theory - Part 1
IEEE Journal on Selected Areas in Communications
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Overview of fine granularity scalability in MPEG-4 video standard
IEEE Transactions on Circuits and Systems for Video Technology
A framework for efficient progressive fine granularity scalable video coding
IEEE Transactions on Circuits and Systems for Video Technology
Rate-distortion optimization for stereoscopic video streaming with unequal error protection
EURASIP Journal on Applied Signal Processing - 3DTV: Capture, Transmission, and Display of 3D Video
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Incorporating packet semantics in scheduling of real-time multimedia streaming
Multimedia Tools and Applications
A joint layered scheme for reliable and secure mobile JPEG-2000 streaming
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Hi-index | 0.00 |
This paper deals with the optimal packet loss protection issue for streaming the fine granularity scalable (FGS) video bitstreams over IP networks. Unlike many other existing protection schemes, we develop an error-resilient unequal error protection (ER-UEP) method that adds redundant information optimally for loss protection and, at the same time, cancels completely the dependency among bitstream after loss recovery. In our ER-UEP method, the FGS enhancement-layer bitstream is first packetized into a group of independent and scalable data packets. Parity packets, which are also scalable, are then generated. Unequal protection is finally achieved by properly shaping the data packets and the parity packets. We present an algorithm that can optimally allocate the rate budget between data packets and parity packets, together with several simplified versions that have lower complexity. Compared with conventional UEP schemes that suffer from bit contamination (caused by the bit dependency within a bitstream), our method guarantees successful decoding of all received bits, thus leading to strong error-resilience (at any fixed channel bandwidth) and high robustness (under varying and/or unclean channel conditions).