Estimation of scalable video adaptation parameters for media aware network elements

M. Ramakrishna, A. K. Karunakar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014
DOIs
Publication statusPublished - 2014
Event2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014 - Bangalore, India
Duration: 07-01-201410-01-2014

Conference

Conference2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014
CountryIndia
CityBangalore
Period07-01-1410-01-14

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Ramakrishna, M., & Karunakar, A. K. (2014). Estimation of scalable video adaptation parameters for media aware network elements. In 2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014 [6734931] https://doi.org/10.1109/COMSNETS.2014.6734931