Video Smoothing of Aggregates of Streams with Bandwidth ConstraintsReport as inadecuate

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Journal of Communications Software and Systems, Vol.1 No.1 September 2005. -

Compressed variable bit rate VBR video transmission is acquiring a growing importance in the telecommunication world. High data rate variability of compressed video over multiple time scales makes an efficient bandwidth resource utilization difficult to obtain. One of the approaches developed to face this problem are smoothing techniques. Various smoothing algorithms that exploit client buffers have been proposed, thus reducing the peak rate and high rate variability by efficiently scheduling the video data to be transmitted over the network. The novel smoothing algorithm proposed in this paper, which represents a significant improvements over the existing methods, performs data scheduling both for a single stream and for stream aggregations, by taking into account available bandwidth constraints. It modifies, whenever possible, the smoothing schedule in such a way as to eliminate frame losses due to available bandwidth limitations. This technique can be applied to any smoothing algorithm already present in literature and can be usefully exploited to minimize losses in multiplexed stream scenarios, like Terrestrial Digital Video Broadcasting DVB-T, where a specific known available bandwidth must be shared by several multimedia flows. The developed algorithm has been exploited for smoothing stored video, although it can also be quite easily adapted for real time smoothing. The obtained numerical results, compared with the MVBA, another smoothing algorithm that is already presented and discussed in literature, show the effectiveness of the proposed algorithm, in terms of lost video frames, for different multiplexed scenarios.

Video Smoothing; Bandwidth Constraints; Digital Video Transmission; Stream Aggregation.

Author: Pietro Camarda - ; Politecnico di Bari, Dip. di Elettrotecnica ed Elettronica, Via E. Orabona 4, 70125 Bari, Italy Cataldo Guarag



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