Video streaming is considered as one of the most important and challenging applications for next generation cellular networks. Current infrastructures are not prepared to deal with the increasing amount of video traffic. The current Internet, and in particular the mobile Internet, was not designed with video requirements in mind and, as a consequence, its architecture is very inefficient for handling video traffic. Enhancements are needed to cater for improved Quality of Experience (QoE) and improved reliability in a mobile network. In this paper we design a novel dynamic transport architecture for next generation mobile networks adapted to video service requirements. Its main novelty is the transport optimization of video delivery that is achieved through a QoE oriented redesign of networking mechanisms as well as the integration of Content Delivery Networks (CDN) techniques
In this work, a novel live scalable video streaming scheme, with adaptive pre-processing (prefiltering), is presented. The scheme employs Scalable Video Coding (SVC), which is an extension of the H.264/AVC. An adaptive pre-filter is provided for each SVC layer, while each pre-filter's parameters, such as the standard deviation and kernel matrix size, are dynamically adjusted according to the varying network conditions, thereby enabling to continuously obtain an optimal visual presentation quality at the decoder end. The performance of the presented live scalable video streaming scheme is evaluated and tested in detail, thereby demonstrating significant improvements ofmore than 2dB.Index Terms -Scalable Video Coding (SVC), live/real-time video streaming, adaptive pre-processing/pre-filtering, highquality visual presentation.
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