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Digital video is one of the major traffic\udcomponents in communication networks. Modelling the frame\udsize of encoded video data is a preliminary step in the research\udand development of synthetic video data generators enabling a\udthorough analysis of video architecture systems that are often\uddifficult to perform with real digital video data. In this paper, a\udstatistical analysis of frame sizes of High Efficient Video\udCoding (HEVC) video generated at bit rates of interest for high\udquality Full HD video applications is performed. The selection\udof potential distributions for modelling the HEVC frame size\uddistribution is based on the results from the modelling of H.264\udframe size distribution. Experimental results show that the\udGamma distribution has a better fit, to the HEVC frame size\uddistribution, than the Weibull distribution

Comparing Gamma and Weibull as Frame Size Distributions for High Efficient Video Coding