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In-network processing of media streams will be necessary in order to meet the personalization, interactive, and real time requirements of future video centric media services. Using Multi-View Video (MVV) streaming as an example, the authors investigate the energy tradeoff between video processing and transport for the delivery of personalized media services. They focus on evaluating the energy benefit of distributed vs. centralized processing architectures. They provide solutions for the relative energy efficiency regions as a function of the user viewing preferences and the processing-transport efficiency ratio.
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