IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Robust and efficient stream delivery for application layer multicasting in heterogeneous networks
IEEE Transactions on Multimedia
Multiple description coding with prediction compensation
IEEE Transactions on Image Processing
A Comparison of Resilient Overlay Multicast Approaches
IEEE Journal on Selected Areas in Communications
Multiple description wavelet based image coding
IEEE Transactions on Image Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Multiple description coding using pairwise correlating transforms
IEEE Transactions on Image Processing
Multiple Description Image Coding Based on Lagrangian Rate Allocation
IEEE Transactions on Image Processing
Rate-constrained coder control and comparison of video coding standards
IEEE Transactions on Circuits and Systems for Video Technology
Multiple description video coding for scalable and robust transmission over IP
IEEE Transactions on Circuits and Systems for Video Technology
Redundant Slice Optimal Allocation for H.264 Multiple Description Coding
IEEE Transactions on Circuits and Systems for Video Technology
An H.264/AVC Video Coder Based on a Multiple Description Scalar Quantizer
IEEE Transactions on Circuits and Systems for Video Technology
A survey of multicasting protocols for broadcast-and-select single-hop networks
IEEE Network: The Magazine of Global Internetworking
Multimedia Tools and Applications
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Multiple description coding (MDC) makes use of redundant representations of multimedia data to achieve resiliency. Descriptions should be generated so that the quality obtained when decoding a subset of them only depends on their number and not on the particular received subset. In this paper, we propose a method based on the principle of encoding the source at several rates, and properly blending the data encoded at different rates to generate the descriptions. The aim is to achieve efficient redundancy exploitation, and easy adaptation to different network scenarios by means of fine tuning of the encoder parameters. We apply this principle to both JPEG 2000 images and H.264/AVC video data. We consider as the reference scenario the distribution of contents on application-layer overlays with multiple-tree topology. The experimental results reveal that our method favorably compares with state-of-art MDC techniques.