Estimation of Scalable Video adaptation parameters for Media Aware Network Elements

Scalable Video Coding (SVC) follows layered video coding approach for video compression, which provides temporal, spatial and quality scalability. This feature provides a valid bit stream even after the removal of some layers or thinning. The Media Aware Network Element (MANE) within the network adapts the scalable video according to network, terminal and user capabilities. The Adaptation Decision Module (ADM) of MANE is an intelligent module which accepts prevailing network condition and video contents, then identifies a suitable number of layers to be streamed to the end devices. This paper estimates adaptation parameters according to the type of video to be streamed and available bandwidth within the network, which can be used within ADM as intelligence to decide the extraction points. The experimental study is carried out using scalable video generated from JSVM 9.19.15 and Exata 2.3 network emulator for video streaming.