Paper
28 January 2008 Rate-distortion optimized multimedia communication in networks
Author Affiliations +
Proceedings Volume 6822, Visual Communications and Image Processing 2008; 682206 (2008) https://doi.org/10.1117/12.769256
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
Large-scale, widespread distribution of high definition multimedia contents using IP networks is extremely resource intensive. Service providers have to employ an expensive network of servers, routers, link infrastructures and set-top boxes to accommodate the generated traffic. The goal in this paper is to develop network-aware media communication solutions that help service providers to efficiently utilize their deployed network infrastructures for media delivery. In particular, we investigate the following fundamental problem: given a fixed network infrastructure, what is the best strategy to multicast multiple multimedia contents from a set of server nodes to a set of clients, to realize the best reconstruction quality at the client nodes? We use rate-distortion to formalize the notion of media quality and to formulate the corresponding optimization problem. We show that current approaches in which multimedia compression and network delivery mechanisms are designed separately are inherently suboptimal. Thus, better utilization of network resources requires a joint consideration of media compression and network delivery. We develop one such approach based on optimized delivery of balanced Multiple Description Codes (MDC), in which the MDC itself is also optimized with respect to the optimized delivery strategy. Simulation results are reported, verifying that our solution can significantly outperform existing, layered, solutions. As a byproduct, our solutions introduces a fundamentally different use of MDC. Up until now, MDC has been adopted to combat losses, mostly in packet lossy networks. We show that MDC is an efficient tool for network communication, even in error-free networks. In particular MDC, when properly duplicated at routers, can exploit the rich topological structures in networks to maximize the utilization of the network resources, beyond conventional coding techniques.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nima Sarshar and Xiaolin Wu "Rate-distortion optimized multimedia communication in networks", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682206 (28 January 2008); https://doi.org/10.1117/12.769256
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Distortion

Multimedia

Data compression

Positron emission tomography

Algorithm development

Optimization (mathematics)

Video

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