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Introduction

  • Vlado MenkovskiEmail author
Chapter
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Part of the Springer Theses book series (Springer Theses)

Abstract

The visual senses dominate the sensory input, accounting for 80 % of perceptual information. This makes video an attractive medium for high density information services. As video enabled services become more present in our lives, our expectations about their performance and reliability is being set. In order to meet customer’s expectations, service providers need to be able to deliver increasingly more demanding services with higher quality standards. This development delivers a high toll on maintenance costs and requires frequent upgrades of available resources. Moreover, the upgrade of some wired and wireless transmission technologies is becoming more challenging as technologies are reaching some physical limits. In this situation the need for smarter management strategies is evident as traditional management approaches such as over-provisioning offer little to improve the utilization of the resources. Efficient management of networked services requires understanding of the relationship between different available resources, i.e. computational, storage, network throughput and the delivered quality. However, video-enabled services are operating on a vast diversity of terminal devices, encoding and transmission systems. Motivated by these challenges, this thesis proposes an approach for efficient management of multimedia services. It presents a QoE aware framework for network management that incorporates computational intelligence methods to deal with the evolving complexities in the multimedia systems, and introduces a novel psychometric method that deals with the difficulties of subjective measurements.

Keywords

Network Throughput Multimedia Service Multimedia System Rate Distortion Optimization Audio Compression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Philips ResearchEindhovenThe Netherlands

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