JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Globally Optimal Uneven Error-Protected Packetization of Scalable Code Streams
DCC '02 Proceedings of the Data Compression Conference
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 joint source and channel coding algorithm for error-resilient SPIHT-coded video bitstreams
Journal of Visual Communication and Image Representation
Error-resilient transmission of quality-scalable images over wireless channels
Digital Signal Processing
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Optimal packet loss protection of progressively compressed 3-D meshes
IEEE Transactions on Multimedia
Robust quality-scalable transmission of JPEG2000 images over wireless channels using LDPC codes
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
A joint layered scheme for reliable and secure mobile JPEG-2000 streaming
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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We are concerned with the efficient transmission of scalable compressed data over lossy communication channels. Recent works have proposed several strategies for assigning optimal code redundancies to elements in a scalable data stream under the assumption that all elements are encoded onto a common group of network packets. When the size of the data to be encoded becomes large in comparison to the size of the network packets, such schemes require very long channel codes with high computational complexity. In networks with high loss, small packets are generally more desirable than long packets. This paper proposes a robust strategy for optimally assigning elements of the scalable data to clusters of packets, subject to constraints on packet size and code complexity. Given a packet cluster arrangement, the scheme then assigns optimal code redundancies to the source elements subject to a constraint on transmission length. Experimental results show that the proposed strategy can outperform previously proposed code redundancy assignment policies subject to the above-mentioned constraints, particularly at high channel loss rates.