A Fast and Efficient Model of an Mpeg-4 Video Traffic Based on Phase Space Linearised Decomposition
نویسنده
چکیده
The common practice in the MPEG video traffic modelling is to split video sequence into I, P and B subsequences and to model the traffic (generated by each subsequence) separately. This frame-oriented decomposition both allows avoiding non-homogeneity of modelling data and lead to linearisation of MPEG video traffic characteristics. In this paper, the low-complexity regression model of an MPEG-4 video traffic is proposed. The model combines regression analysis and a new type of linearised decomposition, based on partitioning of the phase space into sub-regions. The model was tested as traffic predictor (for network management purposes) and traffic generator (for simulation purposes). Experimental results show good accuracy of the proposed modelling scheme.
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