A PREDICTIVE MULTI-CHANNEL MBAC TECHNIQUE FOR ON-LINE VIDEO STREAMING

Pietro Camarda, Cataldo Guaragnella, Domenico Striccoli

Abstract

A measurement based admission control predictive technique is introduced for on line streaming systems exploiting the GOP length demultiplexing of the aggregate bit stream in conjunction with a linear predictive algorithm. Due to the long latency of the statistical aggregate, the predictive technique is able to predict the bit rate over about two seconds of time. The prediction information is used in an admission control system to estimate the bit rate and the margin with respect to the channel capacity in the proposed streaming system. These measures have been used to estimate the overflow probability in a general aggregate situation. Tests conducted over real video sequences confirm the feasibility of the proposed technique.

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Paper Citation


in Harvard Style

Camarda P., Guaragnella C. and Striccoli D. (2006). A PREDICTIVE MULTI-CHANNEL MBAC TECHNIQUE FOR ON-LINE VIDEO STREAMING . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2006) ISBN 978-972-8865-64-1, pages 25-32. DOI: 10.5220/0001568300250032


in Bibtex Style

@conference{sigmap06,
author={Pietro Camarda and Cataldo Guaragnella and Domenico Striccoli},
title={A PREDICTIVE MULTI-CHANNEL MBAC TECHNIQUE FOR ON-LINE VIDEO STREAMING},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2006)},
year={2006},
pages={25-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001568300250032},
isbn={978-972-8865-64-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2006)
TI - A PREDICTIVE MULTI-CHANNEL MBAC TECHNIQUE FOR ON-LINE VIDEO STREAMING
SN - 978-972-8865-64-1
AU - Camarda P.
AU - Guaragnella C.
AU - Striccoli D.
PY - 2006
SP - 25
EP - 32
DO - 10.5220/0001568300250032