On modeling MPEG video traffics

Abstract

Abstract-This paper traces the development/evolution of three of our recently proposed MPEG coded video traffic models, that can capture the statistical properties of MPEG video data. The basic ideas behind these models are to decompose an MPEG compressed video sequence into several parts according to motion/scene complexity or data structure. Each part is described by a self-similar process. These different self-similar processes are then combined to form the respective models. In addition, Beta distribution is used to characterize the marginal cumulative distribution (CDF) of the self-similar processes. Comparison among the three models shows that the latest model (called the simple IPB composite model) is the most practical one in terms of accuracy and complexity. Simulations based on many real MPEG compressed movie sequences, including StarWars, have demonstrated that the simple model can capture the autocorrelation function (ACF) and the marginal CDF very closely.

A genetic approach to Markovian characterisation of H.264 scalable video

“…the survey by Izquierdo and Reeves [6] on statistical traffic models for MPEG-1 encoded video. Proposed statistical models include Markovian processes [7][8][9][10][11][12], autoregressive processes [13][14][15][16], spatial renewal processes [17] and self-similar processes [18,19]. From the vantage point of queueing theory, Markovian processes are the most tractable: the associated queueing behaviour can be investigated efficiently by means of matrix analytic methods; see for example [20,21].…”

Markovian Characterisation of H.264/SVC Scalable Video

“…, K) that characterise the multi-class DBMAP. For a given solution Q, these vectors and matrices are given in equation (14). Finally, w is a weight row vector.…”

“…See amongst others the survey by Izquierdo and Reeves [5] on statistical traffic models for MPEG-1 encoded video. Proposed statistical models include Markovian processes [6][7][8][9][10], autoregressive processes [11,12], spatial renewal processes [13] and self-similar processes [14]. Although video coding standards such as MPEG-2, H.263 and MPEG-4 Visual already support various scalability modes, they have been rarely used in practice due to decreased coding efficiency and increased coding complexity [1].…”

Video traffic model for MPEG4 encoded video

“…In contrast, existing models, e.g. [1][2][3], have mostly modeled the video traffic characteristic for a fixed set of quatisation parameters (i.e. VBR video) and do not provide the adaptive capability of the proposed VTM.…”

“…Simulation has been performed to evaluate the proposed VTM as well as comparing it against the existing models. Three existing models, GOP-method [1], Nested-AR [2], FARIMA [3] have been implemented for performance comparisons. Nested-AR, FARIMA and GOP-method represent different cases of autocorrelation and interdependencies modeling.…”