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...
Main Authors: | , |
---|---|
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 |
id |
doaj-ef0545fed52f439484f5090de343b00b |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT adrigas estimationofmodellingparametersforh263quantizedvideotraces AT skouremenos estimationofmodellingparametersforh263quantizedvideotraces |
_version_ |
1725523814950895616 |