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.

A Predictive Multi-channel MBAC technique for On-Line Video Streaming

CAMARDA, Pietro;GUARAGNELLA, Cataldo;STRICCOLI, Domenico
2006-01-01

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.
International Conference on Signal Processing and Multimedia Applications, SIGMAP 2006
972-8865-64-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/18661
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