Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/3481
Title: Characterisation and modelling of H.264 video traffic source
Authors: Malindi, P. 
Kahn, MTE 
Keywords: H.264 Video Coding;Self-Similar Modelsl;Statistical Analysis;FARIMA mode
Issue Date: 2009
Publisher: Central University of Technology
Source: Malindi, P. & M.T.E. (2009). Characterisation and modelling of H.264 video traffic source. Journal for New Generation Sciences, 7(2): 159-175
Abstract: Recent advances in telecommunication and video coding techniques has led to the development of H.264, and since its development, this video coding standard is being adopted in application standards and industry consortia specifications. However, the literature reveals that most of the work that has been done in video traffic characterisation and modelling is based on previous coding standards, which do not include H.264. Therefore, in order to fill this gap this paper presents the characterisation and modelling of H.264 encoded video traffic. Video is encoded using H.264 encoding technique and a trace file is generated. Statistical analysis is performed on the generated traces. Then, based on the statistical analysis, a suitable model is constructed and a synthetic traffic is generated using the proposed model, which in this case is FARIMA. Lastly, the proposed model is validated using the autocorrelation function.
URI: http://hdl.handle.net/11189/3481
http://reference.sabinet.co.za/sa_epublication_article/newgen_v7_n2_a12
ISSN: 16844998
Rights: http://creativecommons.org/licenses/by-nc-sa/3.0/za/
Appears in Collections:Eng - Journal articles (DHET subsidised)

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