A partially decodable code for scalable compression of super high definition images
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Globally optimal uneven error-protected packetization of scalable code streams
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Priority encoding transmission
IEEE Transactions on Information Theory - Part 1
IEEE Journal on Selected Areas in Communications
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Optimal erasure protection strategy for scalably compressed data with tree-structured dependencies
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Low bit-rate scalable video coding with 3-D set partitioning in hierarchical trees (3-D SPIHT)
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
Real-time error protection of embedded codes for packet erasure and fading channels
IEEE Transactions on Circuits and Systems for Video Technology
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To provide unequal erasure protection to scalable codes, a general framework has been proposed in [1] and it has become the foundation of following research in this literature. In this paper, we make opportunistic utilization of received packets under the same framework. Specifically, we extract those non-decodable original symbols in received packets by taking advantage of the joint coding structure. By regulating the scalable codes to partially-decodable scalable codes, these original symbols can be used to improve the quality of reconstructed source. Further more, we formulate the opportunistic unequal erasure protection and analyze the relationship between optimal unequal erasure protection (OP) and opportunistic optimal unequal erasure protection (OOP). Based on the analysis result, a simple algorithm is proposed to find the optimal protection which maximizes the expected quality of reconstructed source. Finally, experiment results are presented which verify the improvement of opportunistic utilization over traditional unequal erasure protection.