Author(s)

Kizouris Panagiotis¹, Papadakis Andreas²

¹Department of Electrical and Electronics Engineering, University of West Attica, Athens, Greece.
²Department of Electrical and Electronics Engineering Educators, School of Pedagogical and Technological Education (ASPETE), Athens, Greece.

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

Synthetic Traffic, Video Trace, MPEG-4 AVC, I and B Frames

Kizouris, P. and Papadakis, A. (2019) Trace-Based Analysis of MPEG-4 AVC Video Streams. Journal of Computer and Communications, 7, 34-48. doi: 10.4236/jcc.2019.71004.