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Carlos Marcelo Pedroso
Valter Klein



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Carlos Marcelo Pedroso
Valter Klein


WSEAS Transactions on Signal Processing


Print ISSN: 1790-5052
E-ISSN: 2224-3488

Volume 13, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



Application of Traffic Shaping for Quality-Preserving in Video Streaming over IP

AUTHORS: Carlos Marcelo Pedroso, Valter Klein

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ABSTRACT: In this paper, we propose the use of traffic shaping to mitigate the effects of network impairments in viewer’s perceived quality of video streaming over IP. Traffic shaping is used to change the burstiness of video considering the characteristics of MPEG-4 encoding. In MPEG-4, the bursts of traffic are caused by variable length of frames. I-frames are very important in image reconstruction and produce the biggest bursts, so the packets carrying the I-frames are more likely to experience higher delay or be discarded. We propose a method of shaping the video traffic to distribute the bursts over time as much as possible. This procedure reduces the negative effects of bursts on the viewer’s perceived quality. We choose to use the token bucket algorithm due to its low computational complexity and wide availability in servers and routers. The main contribution of the paper is a method to configure the token bucket parameters using the video characteristics. The efficiency of the proposed method is demonstrated through computer simulations, and the results indicate that the proposed method effectively mitigates the effects of network impairments in viewer’s perceived quality.

KEYWORDS: Multimedia Communication, Video Streaming, Viewer-perceived Quality, Traffic Shaping

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WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 13, 2017, Art. #12, pp. 97-114


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