MPEG-4 AVC encoded video streams have been analyzed using video traces\nand statistical features have been extracted, in the context of supporting efficient\ndeployment of networked and multimedia services. The statistical features\ninclude the number of scenes composing the video and the sizes of different\ntypes of frames, within the overall trace and each scene. Statistical\nprocessing has been performed upon the traces and subsequent fitting upon\nstatistical distributions (Pareto and lognormal). Through the construction of\na synthetic trace, based upon this analysis, our selections of statistical distribution\nhave been verified. In addition, different types of content, in terms of\nlevel of activity (quantified as different scene change ratio) have been considered.\nThrough modelling and fitting, the stability of the main statistical parameters\nhas been verified as well as observations on the dependence of these\nparameters upon the video activity level.
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