Abstract
P2P Video-on-Demand (VoD) based on Scalable Video Coding
(SVC) (the scalable extension of the H.264/AVC standard)
is gaining momentum in the research community, as it
provides elegant adaptation to heterogeneous resources and
network dynamics. The major question is, how do the adaptation
algorithms and designs affect the overall perceived
performance of the system? Better yet, how can the performance
of an SVC-based VoD system be defined? This paper
explores the impact and trade-offs of SVC-based quality
adaptation with focus on the SVC layer selection algorithms,
which are performed at different streaming stages. We carry
out extensive experiments to evaluate the performance in
terms of session quality (start-up delay, video stalls) and
delivered SVC video quality (layer switches, received layers),
and find out that these two metrics exhibit a trade-off.
Our analysis and conclusions give multimedia providers insights
on how to design and fine-tune their VoD system in
order to achieve best performance.
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