Graceful Degradation over Packet Erasure Channels through Forward Error Correction
DCC '99 Proceedings of the Conference on Data Compression
Robust Wavelet Zerotree Image Compression with Fixed-Length Packetization
DCC '98 Proceedings of the Conference on Data Compression
On packetization of embedded multimedia bitstreams
IEEE Transactions on Multimedia
Globally optimal uneven error-protected packetization of scalable code streams
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Unequal error protection of SPIHT encoded image bit streams
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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IEEE Transactions on Image Processing
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IEEE Transactions on Image Processing
Error-resilient image and video transmission over the Internet using unequal error protection
IEEE Transactions on Image Processing
Optimal erasure protection strategy for scalably compressed data with tree-structured dependencies
IEEE Transactions on Image Processing
Optimized transmission of JPEG2000 streams over wireless channels
IEEE Transactions on Image Processing
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IEEE Transactions on Image Processing
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IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a novel unequal erasure protection (UEP) strategy for the transmission of scalable data, formed by interleaving independently decodable and scalable streams, over packet erasure networks. The technique, termed multistream UEP (M-UEP), differs from the traditional UEP strategy by: 1) placing separate streams in separate packets to establish independence and 2) using permuted systematic Reed-Solomon codes to enhance the distribution of message symbols amongst the packets. MUEP improves upon UEP by ensuring that all received source symbols are decoded. The R-D optimal redundancy allocation problem for M-UEP is formulated and its globally optimal solution is shown to have a time complexity of O(2NN(L+1)N+1), where N is the number of packets and L is the packet length. To address the high complexity of the globally optimal solution, an efficient suboptimal algorithm is proposed which runs in O (N2 L2) time. The proposed M-UEP algorithm is applied on SPIHT coded images in conjunction with an appropriate grouping of wavelet coefficients into streams. The experimental results reveal that M-UEP consistently outperforms the traditional UEP reaching peak improvements of 0.6 dB. Moreover, our tests show that M-UEP is more robust than UEP in adverse channel conditions.