Title :
Intra-GoP modeling of MPEG video traffic
Author :
Lombardo, A. ; Morabito, G. ; Palazzo, S. ; Schembra, G.
Author_Institution :
Fac. di Ingegneria, Ist. di Inf. e Telecomunicazioni, Italy
Abstract :
Thanks to the ever growing diffusion of distributed multimedia applications, VBR compressed video traffic is expected to constitute the majority of the B-ISDN load in the immediate future. At the moment, the MPEG coding scheme is widely used for many types of applications. Therefore, it is crucial to obtain a model for the generation of sequences with the same statistical characteristics of real MPEG traces. In this paper, after demonstrating that intra-GoP (group of pictures) correlation has to be taken into account, an accurate model allowing the generation of an MPEG-like trace is proposed. Moreover, as the MPEG traffic has been demonstrated to be self-similar, the proposed algorithm allows one to generate a trace, fitting the short-range dependence (SRD) and long-range dependence (LRD) behavior and the probability density function of any given MPEG sequence
Keywords :
code standards; correlation methods; data compression; image sequences; multimedia communication; probability; statistical analysis; telecommunication standards; telecommunication traffic; video coding; B-ISDN; MPEG coding; MPEG sequence; MPEG video traffic; VBR compressed video traffic; algorithm; distributed multimedia applications; group of pictures; intra-GoP correlation; intra-GoP modeling; long-range dependence; probability density function; real MPEG traces; self-similar traffic; short-range dependence; statistical characteristics; video sequence generation; Autocorrelation; B-ISDN; Character generation; Design optimization; Electronic mail; Probability density function; Telecommunication traffic; Traffic control; Transform coding; Video compression;
Conference_Titel :
Communications, 1998. ICC 98. Conference Record. 1998 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-4788-9
DOI :
10.1109/ICC.1998.682944