Estimation of scalable video adaptation parameters for media aware network elements

M. Ramakrishna, A. K. Karunakar

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

5 Citations (SciVal)

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
PublisherIEEE
ISBN (Print)9781479936359
DOIs
Publication statusPublished - 10 Feb 2014
Event2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014 - Bangalore, India
Duration: 7 Jan 201410 Jan 2014

Publication series

NameInternational Conference on Communication Systems and Networks
PublisherIEEE
ISSN (Print)2155-2487
ISSN (Electronic)2155-2509

Conference

Conference2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014
Country/TerritoryIndia
CityBangalore
Period7/01/1410/01/14

Keywords

  • heterogeneous network
  • media aware network elements
  • Scalable Video Coding
  • video adaptation
  • Video streaming

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Estimation of scalable video adaptation parameters for media aware network elements'. Together they form a unique fingerprint.

Cite this