Estimation of Modelling Parameters for H.263-Quantized Video Traces

We propose methods for selecting the modelling parameters of H.263-quantized video traffic under two different encoding scenarios. For videos encoded with a constant quantization step (unconstrained), we conclude that a two-parameter power relation holds between the exhibited video bit rate and the...

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Main Authors: A. Drigas, S. Kouremenos
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Journal of Computer Networks and Communications
Online Access:http://dx.doi.org/10.1155/2013/351435
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spelling doaj-ef0545fed52f439484f5090de343b00b2020-11-24T23:36:23ZengHindawi LimitedJournal of Computer Networks and Communications2090-71412090-715X2013-01-01201310.1155/2013/351435351435Estimation of Modelling Parameters for H.263-Quantized Video TracesA. Drigas0S. Kouremenos1National Center for Scientific Research “DEMOKRITOS”, Institute of Informatics and Telecommunications, Agia Paraskevi, Attici, 15310 Athens, GreeceNational Center for Scientific Research “DEMOKRITOS”, Institute of Informatics and Telecommunications, Agia Paraskevi, Attici, 15310 Athens, GreeceWe propose methods for selecting the modelling parameters of H.263-quantized video traffic under two different encoding scenarios. For videos encoded with a constant quantization step (unconstrained), we conclude that a two-parameter power relation holds between the exhibited video bit rate and the quantizer value and that the autocorrelation decay rate remains constant for all cases. On the basis of these results, we propose a generic method for estimating the modelling parameters of unconstrained traffic by means of measuring the statistics of the single “raw” video trace. For rate-controlled video (constrained), we propose an approximate method based on the adjustment of the “shape” parameter of the counterpart—with respect to rate—unconstrained video trace. The convergence of the constructed models is assessed via q-q plots and queuing simulations. On the assumption that the popular MPEG-4 encoders like XVID, DIVX usually employ identical H.263 quantization and rate control schemes, it is expected that the results of this paper also hold for the MPEG-4 part 2 family.http://dx.doi.org/10.1155/2013/351435
collection DOAJ
language English
format Article
sources DOAJ
author A. Drigas
S. Kouremenos
spellingShingle A. Drigas
S. Kouremenos
Estimation of Modelling Parameters for H.263-Quantized Video Traces
Journal of Computer Networks and Communications
author_facet A. Drigas
S. Kouremenos
author_sort A. Drigas
title Estimation of Modelling Parameters for H.263-Quantized Video Traces
title_short Estimation of Modelling Parameters for H.263-Quantized Video Traces
title_full Estimation of Modelling Parameters for H.263-Quantized Video Traces
title_fullStr Estimation of Modelling Parameters for H.263-Quantized Video Traces
title_full_unstemmed Estimation of Modelling Parameters for H.263-Quantized Video Traces
title_sort estimation of modelling parameters for h.263-quantized video traces
publisher Hindawi Limited
series Journal of Computer Networks and Communications
issn 2090-7141
2090-715X
publishDate 2013-01-01
description We propose methods for selecting the modelling parameters of H.263-quantized video traffic under two different encoding scenarios. For videos encoded with a constant quantization step (unconstrained), we conclude that a two-parameter power relation holds between the exhibited video bit rate and the quantizer value and that the autocorrelation decay rate remains constant for all cases. On the basis of these results, we propose a generic method for estimating the modelling parameters of unconstrained traffic by means of measuring the statistics of the single “raw” video trace. For rate-controlled video (constrained), we propose an approximate method based on the adjustment of the “shape” parameter of the counterpart—with respect to rate—unconstrained video trace. The convergence of the constructed models is assessed via q-q plots and queuing simulations. On the assumption that the popular MPEG-4 encoders like XVID, DIVX usually employ identical H.263 quantization and rate control schemes, it is expected that the results of this paper also hold for the MPEG-4 part 2 family.
url http://dx.doi.org/10.1155/2013/351435
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