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Raoul R Nigmatullin

Raoul R Nigmatullin

KNRTU-KAI, Russia

Title: A combined deterministic-statistical analysis of compressed multimedia streams

Biography

Biography: Raoul R Nigmatullin

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.