Estimation of scalable video adaptation parameters for media aware network elements

M. Ramakrishna; A. K. Karunakar

doi:10.1109/COMSNETS.2014.6734931

Estimation of scalable video adaptation parameters for media aware network elements

M. Ramakrishna, A. K. Karunakar

Department of Information and Communication Technology, Manipal Institute of Technology, Manipal
Department of Data Science and Computer Applications, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 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 language	English
Title of host publication	2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014
DOIs	https://doi.org/10.1109/COMSNETS.2014.6734931
Publication status	Published - 2014
Event	2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014 - Bangalore, India Duration: 07-01-2014 → 10-01-2014

Conference

Conference	2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014
Country/Territory	India
City	Bangalore
Period	07-01-14 → 10-01-14

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.1109/COMSNETS.2014.6734931

Cite this

@inproceedings{5aed4adcacc94c159b26dd60e6734f35,

title = "Estimation of scalable video adaptation parameters for media aware network elements",

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.",

author = "M. Ramakrishna and Karunakar, {A. K.}",

year = "2014",

doi = "10.1109/COMSNETS.2014.6734931",

language = "English",

isbn = "9781479936359",

booktitle = "2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014",

note = "2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014 ; Conference date: 07-01-2014 Through 10-01-2014",

}

Ramakrishna, M & Karunakar, AK 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, 2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014, Bangalore, India, 07-01-14. https://doi.org/10.1109/COMSNETS.2014.6734931

TY - GEN

T1 - Estimation of scalable video adaptation parameters for media aware network elements

AU - Ramakrishna, M.

AU - Karunakar, A. K.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84896760420&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84896760420&partnerID=8YFLogxK

U2 - 10.1109/COMSNETS.2014.6734931

DO - 10.1109/COMSNETS.2014.6734931

M3 - Conference contribution

AN - SCOPUS:84896760420

SN - 9781479936359

BT - 2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014

T2 - 2014 6th International Conference on Communication Systems and Networks, COMSNETS 2014

Y2 - 7 January 2014 through 10 January 2014

ER -

Estimation of scalable video adaptation parameters for media aware network elements

Abstract

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this