Journal of Information Technology & Software Engineering
Open Access

A combined deterministic-statistical analysis of compressed multimedia streams

Global Summit and Expo on Multimedia & Applications

August 10-11, 2015 Birmingham, UK

Raoul R Nigmatullin

Posters-Accepted Abstracts: J Inform Tech Soft Engg

Abstract :

The strong interest in the multimedia delivery in fixed and mobile networks has been testified over and over in the most
recent years. Nevertheless, it is well known that video must be compressed before being transmitted over network channels,
for bandwidth saving purposes. For this reason, a deep comprehension of the main compressed video characteristics is needed,
especially by designers and engineers, to design, manage and evaluate the communication services and exploit at best the
network resources. Usually, two different approaches are utilized to describe the main trends of multimedia data sets (in terms
of long sequences of frame sizes): The deterministic and statistical approaches. Nevertheless, they are developed separately. The
main novelty of this work is that these two different aspects are combined together, proposing two methodologies that contribute
to characterize in deep detail the video data, under both the points of view. More specifically, the deterministic approach
exploits of the Generalized Prony Spectrum (GPS) analysis. The trends of the data set are caught by a set of parameters that
fully characterize the function. The statistical analysis is carried out by exploiting the scaling properties of the beta-distribution
function. Also in this case, the video data set can be effectively reduced to a small set of parameters that statistically describe the
data flow. To validate both the methods, a wide variety of video traces, both bi- and three-dimensional, is considered. Results
found give an interesting and complete idea of the level of detail in the video traces description.